MATLAB Software Environment Research Articles

Improved Active Disturbance Rejection Control for the Knee Joint Motion Model

This work focuses on design of trajectory-tracking control based on active disturbance rejection control (ADRC) controller for knee joint exoskeleton device. The device is worn by disable patients and it is actuated by ADRC to perform the exercises prescribed by physician doctor for rehabilitation of humanoid's lower limb. In order to improve the tracking performance and robustness characteristics of ADRC, minor modification has been made in its structure, which is represented by adding feed forward control signal to reference angular acceleration. The numerical simulations via MATLAB software environment have been conducted with various model uncertainties and external disturbances to assess the performance of modified control scheme. The proposed controller showed improvement in trajectory tracking error, rejection of exerted disturbances, and robustness against parameter uncertainties.

Improvement of the performance of NSGA-II and MOPSO algorithms in multi-objective optimization of urban water distribution networks based on modification of decision space

Water distribution networks require huge investment for construction. Involved people, especially researchers, are always seeking to find a way for decreasing costs and achieving an efficient design. One of the main factors of the network design is the selection of proper diameters based on costs and deficit of flow pressure and velocity in the network. The reduction in construction costs is accomplished by minimizing the diameter of network pipes which leads to the pressure drop in the network. Supplying proper pressure in nodes is one of the important design principles, and low pressure will not provide a complete water supply at the consumption site. Therefore, in this research, the problem of optimization in several sample networks was defined with the objectives of cost minimization and minimization of pressure deficit in the whole network. The EPANET software was used for hydraulic analysis of sample networks, and the multi-objective optimization process was performed by coding NSGA-II and MOPSO algorithms in the MATLAB software environment and linking them to EPANET. The cost function was initially defined only by considering the relationship between cost and diameter and the length of pipes, and in the next definition, the cost resulted by violation of the allowable pressure range was added to this function In both cases, the schedule for achieving the optimal answer was executed. The results showed that these algorithms have a high ability to find optimal solutions and are able to optimize the network in terms of cost and pressure by finding the appropriate pipe diameter. The time for reaching convergence was reduced by considering the cost of violation of the allowable pressure limits significantly and the optimal answer is obtained in a small number of repetitions. In NSGA-II and MOPSO algorithms in two-looped network with 20 and 30 iterations and run time of 0.66 and 0.8 s, respectively, and in Lansey network with 150 and 250 iterations and run time of 5.7 and 9.5 s, the optimal solutions were obtained.

Algorithm for parametric identification of the dc electric drive using the inverse model

THE PURPOSE. In modern control systems of various industrial units, the basis for the automation of technological processes is an electric drive. High requirements for the quality of the control process determine the formulation and solution of scientific and practical tasks for the development and creation of new promising control systems for electric drives (EDCS), allowing to maintain the required quality of functioning under the influence of destabilizing factors. These factors can affect the control system in the form of external disturbances and be summed up with the corresponding signals of the closed EDCS, and also be expressed in the form of parametric disturbances. The need arises to create such a control system that will allow for the identification of the parameters of the EDCS by introducing the appropriate identification algorithms into its structure.METHODS. When solving the problem, a search-free gradient method of adaptive identification was used, implemented by means of the MatLab software environment.RESULTS. The paper considers the problem of parametric identification of an electric drive with a DC motor based on the definition of sensitivity functions. Wherein to construct an algorithm for parametric identification, an inverse model of the studied EDCS is used, the quality indicator is the squared discrepancy, and the identifiable parameter is the overall transmission coefficient of the electric drive.CONCLUSION. Modeling in the MatLab software environment showed a high robustness of the developed identification algorithm to parametric disturbances that do not affect the steadystate value of the identified parameter. The proposed method for compensating the moment of resistance electric drive also made it possible to provide a low sensitivity algorithm to external disturbances. The identification of the overall transmission coefficient of a DC electric drive is carried out with an error not exceeding 0.5% in real time under the conditions of the influence of disturbances of various physical nature.

Investigation of dynamic processes in the hydraulic system of clamping the staffs of the segment unwinder of the unit of aggregation of rolls pipe welding machine 20-114

In the technological line for the production of small diameter pipes used segment un-winder staffs with a cantilever drum and additional support. The experience of its operation has shown that one of its main shortcomings is the unsatisfactory operation of the hydraulic system clamping staffs. In the hydraulic clamping system of the staffs there are increased dynamic loads, which lead to the failure of components and elements of the hydraulic system. The layout of the hydraulic clamping system of the headquarters is made for design and technological rea-sons, without taking into account the influence of pipeline lengths on the nature of dynamic processes in the hydraulic system. In addition, the hydraulic system uses spool hydrodistributors with electro-hydraulic control, the operation time of which is practically not subject to regulation. Based on the analysis of known mathematical models for the study of dynamic processes in hydraulic systems, it was concluded that as a mathematical model that takes into account the design and operation of the hydraulic clamping system staffs finite-difference method in a sys-tem of ordinary differential equations with boundary conditions described by algebraic equations. A basic dynamic model has been created, which allows to analyze with high relia-bility the behavior of the hydraulic system of the clamping mechanism of the staff in the segment unwinder of the rolls, which is exposed to different nature in a wide range of mode parameters. Simulink MATLAB software environment was used to effectively solve this problem. During the implementation of the mathematical model, a study of the modes of operation of the hydraulic system of the clamping mechanism of the staff was performed. It was found that at the end of the working and reverse strokes of the clamping mechanism of the roll in the end posi-tions there are dynamic loads in the hydraulic system that reach the maximum allowable values. In addition, it was found that during the acceleration of the piston of the hydraulic cylinder during operation and reverse, although there are no dangerous loads, but there are rapid fluctuations in pressure in the cavities of the hydraulic cylinder. Theoretical studies of the modes of operation of the hydraulic clamping system of the staff in the segment unwinder with different operating times of the control valve. As a result of the study of transients in the unwinding hydraulic system with different operating times of the hydraulic distributor, its ra-tional operating time was recommended, which is 0.20 seconds when opening and 0.15 sec-onds when closing.

A deep long Short-Term memory based scheme for Auto-Reclosing of power transmission lines

The operating speed of adaptive single-phase auto-reclosure (ASPAR) is of great importance to maintain power systems stability in high-voltage power transmission lines (PTLs). This paper proposes a two-step protection scheme using the long short-term memory (LSTM) network to enhance the ASPAR performance. The discrimination between transient and permanent faults is made by an LSTM with high accuracy in the first step. If transient faults are detected in the second step, another LSTM is applied to predict the secondary arc extinction time (SAET). To this end, the second LSTM accurately foresees the voltage waveform of the faulty phase a half-power cycle earlier, and predicts the SAET in order to get a successful reclosing. The results obtained from extensive simulations using EMTP-RV and MATLAB software environments indicate that the presented protection scheme outperforms other ones in terms of fault type classification, achieving an F-measure value of 98.90%. Moreover, the results verify that the LSTM can accurately estimate the voltage waveform and the SAET, that ensures a successful reclosing of the faulty phase.

Transverse Wave Propagation in a Thin Isotropic Plate Part I

This article deals with the propagation of a transverse wave in a thin rectangular isotropic plate, which is fixed around the perimeter. The transverse wave is generated by an impact falling on the geometric center of the plate. The solution is performed analytically in the MATLAB software environment for Kirchhoff and Rayleigh geometric models and Hooke’s model. The introduction to the article outlines a very brief history of the solution, followed by a general analytical solution. The basic relations for displacements and velocities in the direction of the x, y, z axes are derived. Under the defined assumptions, the deformations in the individual axes and the rotation of the axes are also solved. Part of the general solution is the derivation of relations for normal and shear stresses, as well as the magnitudes of shear and normal forces and bending moments. Attention is also paid to determining the relationships for different types of excitation loads of the board. The relations for Kirchhoff’s and Rayleigh’s model are derived, as well as the results of the analytical solution at selected points of the plate. A comparison of the results of the solution of both models, i.e., Kirchhoff’s and Rayleigh’s, is performed, both in terms of displacements, velocities, and normal stresses.

Local Control of Unmanned Air Vehicles in the Mountain Area

The task of increasing the accuracy and stabilization of the flight of unmanned aerial vehicles (UAV) in the alpine environment is a complex problem. It is related to the evaluation of UAV flight parameters and control conditions for the operator’s place. The purpose of the UAV’s autonomous flight control is to ensure stable control of the UAV’s flight parameters. Flight control systems are affected by various disturbances caused by both internal and external conditions. In general, the number of autonomous control systems corresponds to the number of degrees of freedom, which determines the flight of an autonomous vehicle. An important factor in assessing the quality of such a UAV is its readiness for an autonomous flight together with the level of its safe guidance on the route. The presented article focuses on the analysis of UAV flight control and the quality of prediction and elimination of errors that exist during maneuvers toward the place of a successful UAV landing. The aim of the article is to point out the solvability of the complexities of such a flight procedure with the evaluation of the readiness for the descent phase of the autonomous UAV. The given problem is caused by the social demand for the creation of a way of providing health care in the mountain area of the High Tatras in Slovakia. The existing database of data obtained from the flying vehicles used in Slovakia was compared with the data obtained from the simulated flights, with their subsequent evaluation in the MATLAB software (Version R2021b) environment.

Development and life cycle assessment of a novel solar-based cogeneration configuration comprised of diffusion-absorption refrigeration and organic Rankine cycle in remote areas

The increasing power demand in the world’s energy basket and the focus on reducing carbon emission, in tandem with upgrade constraints on conventional grids, has elicited the employment of renewable energies. Specifically, answering the power and cooling/heating demands of remote areas where the grid cannot or can merely supports using locally available and utilizable renewable energies is a focal topic. Herein, a cogeneration system driven by solar energy through parabolic trough collector (PTC) utilization integrated with organic Rankine cycle (ORC), and diffusion absorption refrigeration (DAR) cooling system is proposed. The system is backed up by phase-change material (PCM) and battery bank for solving the intermittence nature of solar energy, and targeted at being employed in a residential building in Shahr Asb, a village in Yazd province, Iran, with a population of less than 600. The system is appraised through exergy evaluation to gauge the efficiency and performance of the system, and life cycle assessment analyses (exergoenvironmental evaluation), to present beneficial data on the mutual impact of the system’s performance and environmental conditions. The HYSYS, MATLAB, TRNSYS, and HOMER software and programming environments were utilized to model the cogeneration system. The exergy analysis indicated that the PTC field contributed to the highest exergy destruction (31.80 kW) of the system (67.89 kW) with PTC and system exergy efficiency of 55.23% and 67.89%, respectively. Consistent with the exergoenvironmental analysis, the highest values of cumulative environmental impacts were pertinent to EX-101 expander, (204.02 Pts/h - 29.49%) and E-102 heat exchanger (154.44 Pts/h - 22.33%), individually. Consequently, to mitigate the system’s undesirable environmental impacts, the operating conditions of these devices must be amended. The parametric analysis showed that the rise in mole fraction of hydrogen as the inert gas of the DAR system positively affects the evaporator duty and temperature. The required power (10.76 kW) and cooling (44.55 kW) are provisioned by utilizing 80.76 kW and 364.30 kW of heat duty in the DAR and ORC system, respectively, which is met by the battery bank and PCM when solar energy is absent during the night.

Determination of voltage at the rectifier installation of the electric locomotive VL-80K for each position of the controller driver's

The object of research is the electrical processes in the control system of the traction drive of the electric locomotive VL-80K (Russia). To improve the accuracy of its mathematical model, it is necessary to use the values of the parameters determined during experimental studies of the traction drive control system. In particular, it is important to use in the traction drive model the value of the voltages on the arms of the rectifier installation of the electric locomotive, taking into account the position of the driver's controller. The complexity of the simulation lies in the fact that the reference does not provide the value of the voltage on the arms of the rectifier for each position of the driver's controller, which makes it difficult to verify the resulting model. A scheme for measuring the voltage value on the arms of the rectifier installation of an electric locomotive for each position of the position of the driver's controller is proposed. On its basis, a simulation model is developed in the MATLAB software environment. The simulation model implements an algorithm for closing the contactors of the electric group contactor for each position of the position of the driver's controller. Approbation of the voltage measurement technique was carried out on an electric locomotive of the VL-80K series during a trip on the Darnytsia-Myronivka section (Ukraine). Comparison of the voltage values on the arms of the rectifier installation, obtained experimentally, with the passport data showed that the measurement error was 0.5 %. In addition, the experimental results showed that the voltages on the arms of the rectifier for paired positions of the position of the driver's controller are the same, for odd ones they are different. Therefore, when simulating the operation of the traction drive control system, the voltage values on different arms of the rectifier installation were taken separately. Comparison of the simulation results for the nominal mode with passport data showed that for this mode the measurement error was 3.78 %. For all others, it did not exceed 5 %.

Optimal Setting of Thyristor Controlled Series Compensator with Brain Storm Optimization Algorithms for Available Transfer Capability Enhancement

Applications of Flexible AC Transmission Systems (FACTS) devices for enhancement of Available Transfer Capability (ATC) is gaining attention due to economic and technical limits of the conventional methods involving physical network expansions. FACTS allocation which is sine-qua-non to its performance is a major problem and it is being addressed in recent time with heuristic algorithms. Brain Storm Optimization Algorithms (BSOA) is a new heuristic and predicting optimization algorithms which revolutionizes human brainstorming process. BSOA is engaged for the optimum setting of FACTS devices for enhancement of ATC of a deregulated electrical power system network in this study. ATC enhancement, bus voltage deviation minimization and real power loss regulation are formulated into multi-objective problems for FACTS allocation purposes. Thyristor Controlled Series Capacitor (TCSC) is considered for simulation and analyses because of its fitness for active power control among other usefulness. ATC values are obtained for both normal and N-1-line outage contingency cases and these values are enhanced for different bilateral and multilateral power transactions. IEEE 30 Bus system is used for demonstration of the effectiveness of this approach in a Matlab software environment. Obtained enhanced ATC values for different transactions during normal evaluation cases are then compared with enhanced ATC values obtained with Particle Swarm Optimization (PSO) set TCSC technique under same trading. BSO behaved much like PSO throughout the achievements of other set objectives but performed better in ATC enhancement with 27.12 MW and 5.24 MW increase above enhanced ATC values achieved by the latter. The comparative of set objectives values relative to that obtained with PSO methods depict suitability and advantages of BSOA technique.

Нечітка математична модель для визначення допустимого терміну роботи силового сухого трансформатора в режимі перевантаження

Disconnection of power transformers leads to large economic losses and negatively affects the operation of the electrical network. One of the most important parameters affecting the duration of operation of a power dry transformer is the permissible duration of overheating of the insulation of the windings, which is determined by the value of the most heated point of the insulation of the transformer windings. A review of the literature was conducted to identify approaches for determining the temperature of windings by indirect methods. Based on the analysis, the paper proposes a method of forecasting and determining the degree of overheating of the windings of a dry-type power transformer based on its passport data using fuzzy logic, which allows assessing the condition and duration of permissible operation in individual modes. For this, the Matlab software environment and a fuzzy toolbar were used. According to fuzzy rules, taking into account a number of factors that affect the degree of overheating of a dry-type transformer, a fuzzy mathematical model has been developed, which allows to obtain predicted degrees of overheating of the winding according to the operating modes of the dry-type transformer. When constructing a mathematical model, the temperature of the cooling air, the humidity of the environment, the level of overload and the value of the load of the transformer, which occurred immediately before the moment of overload, were taken into account. A neural network in the form of a multilayer perceptron was used to adjust the developed fuzzy mathematical model. As input data in such a neural network, in addition to those mentioned above, the parameters of the membership function terms and the known values of the allowable durations of the overload of the dry transformer in the corresponding modes of its operation were used. As a result of the calculations, the terms of the property functions changed slightly, as a result of which, when applying the obtained model, the error in the operation of the fuzzy model significantly decreased and did not exceed 5 %. The proposed approach turned out to be effective, as it allows predicting the duration of operation of a dry transformer in an extended range of cooling air temperature at the pace of the technological process.

Розробка методики вибору раціонального перевізника вантажів в міжнародному сполученні

One of the effective methods of modeling for decision-making that allows you to take into account most of the properties of the object research is fuzzy logic. The article considers the problem of making decisions in uncertain conditions based on applying the rules of fuzzy logic. Fuzzy set methods are especially useful in the absence of an accurate mathematical model of system operation. Fuzzy set theory makes it possible to apply inaccurate and subjective expertise to a subject area in decision-making without formalizing it in the form of traditional mathematical models. The most influential parameters for the choice of a carrier in an international connection have been determined with the help of expert assessments. The structure and functions of the fuzzy decision-making system regarding the choice of a rational carrier are described. The stages of fuzzy data transformation in the process of logical derivation of solutions are specified. The example of fuzzy inference of the dependence of the parameters of the choice of rational carrier of cargo is given. As a practical implementation of the proposed methodology, a model was created in the MATLAB software environment. According to the results, a rational carrier was determined to transport various goods in international traffic. With the help of MATLAB, graphs of the surface dependence of the carrier’s choice on various influencing factors such as reputation, CMR-insurance, cost of transportation, number of cases of damage and shortage of goods, delivery time were obtained. Implementation in practice shows that the use of research results can reduce the working time of staff and significantly improve the quality of their work in the development and selection of options for delivery of goods.

An Analytical Model of Induction Motors for Rotor Slot Parametric Design Performance Evaluation

Induction motors are commonly used in most elec-tricity generation due to their low investment cost. However, the performance of the induction motors for different applications highly depends on rotor design and machine geometry. For example, changing rotor bar height and width varies the rotor resistance and reactance, thereby leading to variation of the motor efficiency. A parametric study on rotor slot geometry parameters such as opening height, rotor slot depth, and rotor slot width, is carried out to investigate the effect of the parameters on the efficiency of a squirrel cage induction motor. The study is based on analytical model that considers a general-purpose squirrel cage induction motor with the specification of 5.5 kW, 60 Hz, and 460 V. The analytical model is developed and simulated within the MATLAB software environment. The effects of each parameter variation toward efficiency of the induction motor are investigated individually as well as all together using a 4D scatter plot. Results show that the efficiency can be improved up to 0.1%after designing a suitable setting of rotor slot parameters from the initial settings.

The Possibilities of Dynamic Phenomena Calculation in the Penstock of Hydropower Plant via Different Methods

When designing a hydropower plant with a long pressure penstock, special attention must be paid to the pressure conditions in the penstock, especially during emergency flow shutdown. In this paper, the main principles of the calculation of static pressure rise in the pressure pipeline during rapid flow shutdown are presented. The results obtained by analytical methods (calculation of direct and indirect water hammer) and numerical methods (mathematical modelling in Matlab software environment) are compared on specific examples. The influence of some input parameters of the numerical model on the results of the numerical calculation is analysed separately.

Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System

A suitable alternative to grid expansion has been found in renewable energy sources like wind, solar, and biomass. To put it another way, relying solely on one of the major renewable sources is both inefficient and expensive. As a result, an integrated renewable energy system is a viable option. The purpose of this article is to discuss the use of the Grasshopper Optimization Algorithm (GOA) for renewable energy sizing in the current study area. For an autonomous microgrid network, the proposed technique finds the optimum system size on the basis of Loss of Power Supply Probability (LPSP). The proposed microgrid consists of PV panels, wind turbines, biomass generator and a battery storage system. The proposed GOA algorithm’s convergence efficiency in resolving the current optimization problem is investigated and compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) in the MATLAB software environment. The simulation results show that the GOA algorithm outperforms its counterparts, GA and PSO, in terms of system sizing.

A DC-Side Fault-Tolerant Bidirectional AC-DC Converter for Applications in Distribution Systems

This paper proposes an ac-dc converter for dc distribution systems. The proposed converter has a simple structure, offers bidirectional power flow capability, and is robust to dc-side faults. Based on the developed dynamic model, the converter is current-controlled in a rotating reference frame, meaning it is also protected against ac-side faults. Insight on the design of the specific control parameters for proper operation of the various control loops is also provided. Furthermore, it is shown that the minimum permissible dc-link voltage of the converter is the same as that of a conventional voltage-sourced converter. Time-domain simulation studies in the MATLAB and Simulink software environments, as well as a 1.25- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$kW$ </tex-math></inline-formula> experimental prototype confirm the effectiveness of the proposed converter under various normal and faulted operating scenarios.

Analysis of the frequency characteristics of the control system for the processes of fuel supply to the cylinders of the power unit

The idea of monitoring the identity of the cylinder capacities of an internal combustion engine under conditions of incomplete information is proposed and a computer system is built on its basis. The signal of the instantaneous rotation speed of the crankshaft of the power unit was used as input information. In the development of the hardware architecture, injectors with piezoelectric actuators, the principle of direct digital control, and the principle of control with feedback on the state of fluctuations of the crankshaft rotation speed were used. The Laplace transform was used as a mathematical apparatus for analyzing the structural diagram of a computer system for programmed control of the processes of supplying fuel and air to the cylinders of the power unit. Mathematical models of the components of the hardware for controlling the processes of supplying the fuel-air mixture were constructed, and as a result of the analysis of the structural diagram of the computer system, the transfer function was obtained. Using the capabilities of the Matlab software environment, the transient and impulse transient characteristics of the system are obtained, the Nyquist hodograph is constructed, and the logarithmic amplitude-frequency characteristics of the hardware are established. It was found that the frequency characteristics of the mathematical model of a computer system have the necessary dynamic characteristics. Using the method of expansion into simple fractions, an expression is obtained for a discrete transfer function, the coefficients of the power polynomials of which are established using the method of determinants and computational capabilities of the Mathcad software environment. On the basis of a discrete transfer function, a scheme for computer modeling of the process of processing the signal of the instantaneous speed of rotation of the crankshaft by hardware is constructed. The output signal was obtained by computer simulation, as a result of the analysis of which the speed of the hardware for processing the input information was established.

Improving BER Performance of Massive MIMO Scheme over Rayleigh Fading Channel

In massive multiple input multiple output (mMIMO) scheme, the system capacity can be improved without additional bandwidth or transmit power by using a huge antenna array at base station with as much separation between antenna elements as possible. Unfortunately, its performance depends on having a perfect channel state estimate between the base state and the users. In this paper, the bit error rate (BER) performance of a mMIMO scheme is improved using genetic algorithm-based optimization with simulation performed in MATLAB software environment. The genetic algorithm used selects the best signal required for effective transmission. Four different antenna configurations in the order of 2x2, 4x4, 8x8 and 16x16 were considered for the simulation. The encoding and decoding were done using an STBC coded. Also, filter bank multicarrier-offset quadrature amplitude modulation (FBMC-OQAM) scheme was used and simulation was carried out for 4-FBMC-OQAM, 16 FBMC-OQAM, and 64 FBMC-OQAM order. The BER is computed for both the optimized and un-optimized mMIMO schemes, and the performance of both schemes is compared. Simulation results show a significant improvement in the BER of the optimized mMIMO compared to the normal (coded) MIMO scheme. The overall results show that the optimized mMIMO experience a reduced BER when compared to the normal mMIMO. In both cases, the BER reduces gradually as the number of antenna increases.

Renewable Solar Energy Coupled to a Brackish Water Desalination Plant: Efficiency and Optimization

In order to reduce fossil energy consumption at desalination plants, it has become necessary to replace fossil energy with clean energy. Currently, the reverse osmosis systems connected to solar energy is a promising technology for desalination of seawater / brackish water, especially in arid and semi-arid areas that have a large solar deposit and are remote from the public grid. The objective of this work is to show the efficiency of introducing renewable energy in brackish water desalination plants by the effect of comparing the energy consumption for a system without renewable energy source and system powered by the photovoltaic system (solar energy). As well as a program developed on Matlab software environment in order to, optimize the energy consumption of a desalination plant for the proposed plant is about 0.1269 kWh/m3.

APPLICATION OF A FUZZY LOGIC SYSTEM TO DETERMINE THE RESOURCE OF AN ASYNCHRONOUS MOTOR

The article analyzes the method for determining the resource of an asynchronous motor through the use of fuzzy logic, explains the structure of the developed Fuzzy Logic System and the results of experiments on determining the resource of an asynchronous motor. The problems that are necessary to solve unambiguously determine the remaining resource of an asynchronous motor are formulated. In this paper, the developed fuzzy logic system will allow us to reasonably determine the residual life of an asynchronous motor based on the results of measuring the no-load current, air gap, insulation resistance, power factor, winding resistance at direct current, stator winding insulation absorption coefficient, stator winding insulation polarization coefficient, insulation modulus, stator temperature and bearing condition assessment. The results obtained during their implementation will help prevent failure of the asynchronous motor and reduce material damage associated with downtime of technological equipment, elimination of the consequences of accidents and repair of the failed electric motor itself. A method for determining the remaining resource of an asynchronous motor is developed using a fuzzy logic system in the Matlab software environment and the FuzzyLogic package. A fuzzy logic system is developed for determining the remaining resource of an asynchronous motor. A detailed study of the results of computer modeling is carried out , which indicate that the fuzzy logic system for determining the remaining resource of an asynchronous motor functions properly and is ready for operation. A fuzzy logic system normalizer is developed for determining the remaining resource of an asynchronous motor. The launch of the file content in the Matlab command line is analyzed in detail, which showed the result of the entire system of non-clear logic at minimum, maximum and average values of control parameters.