Simulation Of Control System Research Articles

Review Work on Modelling & Simulation of Car Cruise Control System using PID Controller

This work focuses on the modeling and simulation of car cruise control systems with the implementation of a Proportional-Integral-Derivative (PID) controller. The primary objective is to develop a comprehensive model that integrates a PID controller for maintaining car speed under varying conditions. The methodology involves detailed modeling techniques to simulate car dynamics and the tuning of PID parameters for optimal control

Control System Level Intrusion Detection on J1939 Heavy-Duty Vehicle Buses

As the security vulnerabilities of Controller Area Networks (CAN) become well known, heavy-duty vehicles implementing the SAE J1939 specification layer on this bus are immediate targets. Recently released standards provide clear cybersecurity requirements, but the exact methods to be implemented are not specified and remain up to the manufacturers. In this work we address adversary actions and countermeasures at the control system level for a heavy-duty vehicle J1939 CAN bus. This low level approach allows us to complement regular attacks with more knowledgeable attacks that may evade detection and discuss realistic countermeasures. Indeed, as we also show by experiments, traditional approaches based on machine learning algorithms will largely fail to detect such attacks. We present experiments based on a model that links between the Simulink environment, an extension of the MATLAB platform for the simulation of in-vehicle control systems, with the CANoe environment, which facilitates the simulation of in-vehicle networks.

Data assimilation for online model calibration in discrete event simulation

The increasing availability of real-time data collected from dynamic systems brings opportunities for simulation models to be calibrated online for improving the accuracy of simulation-based studies. Systematical methods are needed for assimilating real-time measurement data into simulation models. This paper presents a particle filter-based data assimilation method to support online model calibration in discrete event simulation. A joint state-parameter estimation problem is defined, and a particle filter-based data assimilation algorithm is presented. The developed method is applied to a discrete event simulation of a one-way traffic control system. Experiments results demonstrate the effectiveness of the developed method for calibrating simulation models’ parameters in real time and for improving data assimilation results.

ПОШУК МЕЖ ПРЕДСТАВЛЕННЯ ВНУТРІШНІХ ЗБУРЕНЬ АКТИВНОЇ ЗОНИ ВВЕР-1000 У ВИГЛЯДІ ФІЗИКО-МАТЕМАТИЧНОЇ ТА АПРОКСИМАЦІЙНОЇ МОДЕЛЕЙ

Abstract. The scientific article is devoted to the study of the use of physical-mathematical and approximation models for simulation of the power change control system at nuclear power plants with VVER-1000. Methods for controlling energy release have been studied, problem of optimal reactor control has been solved, and block diagram of the automatic control system has been developed. The limits of using models to ensure the stability of control processes are clarified. Keywords: Automatic control system, control programs, reactor power, boundaries search, pressurized water reactor.

Optimisation of Irrigation and Fertigation Processes through Automated Control Systems: A Case of Maziwa Farm’s Low-yielding Boreholes in Murewa, Zimbabwe

The aim of this research was to design an automated irrigation and fertigation system in low yielding boreholes at Maziwa farm, Murewa, Mashonaland East Province of Zimbabwe. The study focused on designing an automated controlsystem of irrigation and fertigation using the PIC18F4550 microcontroller. The work entailed the designing of a fertilizer and herbicide chemical plant and the simulation of the developed control system. An irrigation and fertigation control system program was developed using Mikro C Pro software and simulated using Proteus software. Key considerations in the fertiliser and herbicide chemical plant design included a drip irrigation system for optimised water, fertiliser, and herbicide distribution, featuring chemical tanks and solenoid valves for controlled injection. Emitters, laterals and the mainline pipes, a medium for the irrigation water and fertilizer or herbicides to the plants were also selected. The automated irrigation system employs a microcontroller that utilizes Global System for Mobile Communication (GSM) technology in facilitating operator communication. The system status updates were sent to the user via SMS (Short Message Service) with connection between the user and the system being possible also through text messages for action confirmation. The results of the research were validated using simulation with proteus software.

Research and simulation of hydraulic turbine speed control system based on fuzzy control

The rotational speed of the hydraulic turbine generator set will change with the load change of the power system, therefore, the speed control system of the unit needs to adjust its operating parameters in time according to the load change. The conventional PID control algorithm is widely used in the current hydraulic turbine speed control system, but it is unable to self-tune the parameters, which makes it difficult to achieve the desired control effect. In order to solve the above problems, this paper combines the neural network and fuzzy control to optimize the PID control parameters, and through the Matlab simulation experiments, it is verified that the control described in this paper can make the hydraulic turbine speed control system have satisfactory control effects in different operating conditions.

Modeling, Simulation, and Design of Electromagnetic Capacity Control System for Reciprocating Compressors

Modeling, Simulation, and Design of Electromagnetic Capacity Control System for Reciprocating Compressors

Математическое моделирование адаптивного торможения высокоскоростного поезда с дисковым тормозом

Based on the analysis of the dependence of the brake pad pressure reserve coefficient on the speed of movement of the rolling stock, a simulation computer simulation of the adaptive braking control system of a high-speed train was performed. The dependence of the pressure in the brake cylinder on the set value of the coefficient is found. The simulation results showed that the use of the adaptive braking algorithm makes it possible to shorten the braking distance, reduce the likelihood of wheelsets jamming and ensure the comfort level of passengers when braking a train. The study was carried out within the framework of the state-sponsored project «Adaptive automatic control system with increased efficiency for passenger and high-speed trains» No. 121050600026-9 dated 06.05.2021.

Magnetic Levitation Remote Control Laboratory Based on Matlab and Websockets

This work proposes a novel architecture for constructing remote laboratories, employing modular building blocks: Matlab/Simulink software for control system design and simulation, WebSocket communication technology for continuous data exchange, and a front-end application developed using the Angular framework. To facilitate WebSocket communication on the Matlab server side, the MatlabWebSocket library is implemented. Beyond the Angular framework, interactivity within the remote laboratory is further enhanced through 3D visualization of the controlled system using a Three.js based library.These combined technologies are applied in the development of a remote laboratory for a fast, unstable, and nonlinear magnetic levitation system. The laboratory allows users to remotely set desired values and control parameters for experiments, while also providing continuous data visualization in various forms, including numerical readouts, graphs, and 3D animations. This approach demonstrates the effectiveness of the proposed architecture for building remote laboratories for complex systems.

Simulation study of military command and control system based on system dynamics

Abstract The command and control system, as the “central nervous system” of the military combat forces, directly affects the combat effectiveness of the troops and plays a vital role in the success or failure of the combat. Based on the characteristics and requirements of military command, this paper constructs a simulation control system for military command based on a system dynamics model. It discusses the setting of relevant essential parameters. Simulation system analysis results show that the red side uses the simulation system for command business processing times to obtain an advantage in military combat. The military combat victory was achieved by losing about one-third of the combat force (333C) on the 29th day. In addition, the rate of military coordination in the simulation system is positively proportional to the number of correctly arranged combatants, and the rate of military intelligence collection has a more significant impact on the completeness of the development of military command programs in the initial period. The simulation system proposed in this paper can meet the needs of military command and control systems.

Simulation of discrete control systems with parallelism of behavior

Objectives. The problem of functional verification of control devices with respect to their design specification is considered. When solving the problems of implementing and testing of discrete systems, one has to deal with the presence of parallelism in the behavior of interacting control objects, which is also displayed in the assignment for designing control systems. The aim of the work is to develop a method for simulating descriptions of such systems, which allows their behavior testing dynamically on the area limited by their possible functioning.Methods. The paper considers a class of control systems with parallelism of the processes occurring in them, which permits linearization of their execution. To specify the behavior of such control systems, it is proposed to use the PRALU language of parallel control algorithms, which is based on Petri nets and which allows to order events occurring during the device operation. An object-oriented approach to simulation of the description of the control algorithm at the transaction level is proposed. For this purpose, a TLM (Transaction-Level Modeling) model has been developed for describing the devices with behavior parallelism in PRALU language. The transaction level model describes a system as a set of interacting processes that run in parallel and determine the behavior of the system over time.Results. The key concepts of the TLM model for simulating the descriptions of control algorithms in the PRALU language are defined: data structure, transactions, processes, and a barrier mechanism for synchronization of parallel processes. A method is proposed for transforming the description of an algorithm in the language into a TLM model, which is based on the representation of language operations as compositions of elementary operations that are performed sequentially. The set of these operations forms the basis for the algorithmic decomposition of a parallel algorithm in PRALU language into intermediate language program that is executed strictly sequentially. Translators of this program into the Verilog and C languages have been developed, the results of their compilation are simulators of the behavior of control system.Conclusion. The proposed simulation method can be used to create a test bench for functional verification of the circuit implementation of control devices with behavior parallelism. In this case, test sequences for verifying the circuit implementation can be generated dynamically – in the process of simulating the description of the algorithm in the PRALU language directly the control device or system, which include the control algorithm and the algorithms of controlled objects behavior.

Simulation Research on Non-Bevel Gear Transmission Mechanism

Abstract: There are problems with vibration and impact in the meshing transmission process of non-bevel gear. Therefore, a simulation control method of non-bevel gear transmission based on ADAMS and MATLAB is proposed. First of all, the design modeling of non-bevel gear is briefly described, and the influence of order and eccentricity on its transmission ratio is analyzed; Then, the established non-bevel gear model is imported into ADAMS, and the constraint, motion pair, driving force, input and output variables are set. The data transfer relationship is established by using the ADAMS/Control module and MATLAB/Simulink interface, and the non-bevel gear mechanical system module is generated in MATLAB/Simulink; Finally, its joint simulation control system is built in the MATLAB/Simulink module, and its control simulation analysis is carried out. The research results show that by comparing and analyzing the simulation results of only constant value input and adding the PI control module, the amplitude, and frequency of the angular velocity and angular acceleration curves of the driven wheel are significantly reduced, that is, the vibration and impact in the non-bevel gear transmission are reduced, which verifies the correctness and feasibility of the control strategy, It provides a new method for the control design and development of the vibration reduction performance of non-bevel gear transmission; The result is beneficial to the application and popularization of non-bevel gears.

Dip-coater revolver machine for layer processing on metallic substrates

This work presents the design and construction of a dip-coater revolver machine to manufacture homogeneous coatings on metallic substrates. The material used for the fabrication of the machine structure was 6061-T6 aluminum. A Nema 23 stepper motor of 4.2 A and 24 V with a speed reducer with a 10:1 ratio that can provide an angular velocity ω between 1-80 rpm was used for the motion system. DC linear actuator was used for the immersion process, which operates in the range of 12-24 V at 7 A, with a stroke length of 50 mm and a maximum linear speed of 12 mm/s. For the coating tests, SayerLack® black and white base paint was used on 6061-T6 aluminum substrates and 304 stainless steel substrates. Finally, the mathematical model and the simulation of an automatic PID control system were carried out to automate the coating manufacturing process.

Modeling of nonlinear characteristics of switched reluctance motor based on optimized RBF neuron network

The strong nonlinearity of switched reluctance motor (SRM) makes it difficult to establish an accurate mathematical model of its electromagnetic characteristics. In this paper, an artificial neural network modeling method is adopted to estimate the nonlinear flux linkage characteristics of a four-phase SRM. Based on the samples obtained by experimental measurement, a radial basis function neural network is trained and further optimized using the K-Means algorithm. The modeling accuracy of the optimized flux linkage model is analyzed in detail and also verified by dynamic simulation of a direct instantaneous torque control system of the motor.

Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation.

A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a multi-parameter gray error neural network fault prediction model for the first time. Furthermore, an embedded platform for intelligent fault diagnosis and prediction was developed using an Application Specific Integrated Circuit chip. The results show that the simulation model of the DEH system has good performance. A jam fault, internal leakage, and a device fault could be accurately identified through the fault diagnosis model. The multi-parameter gray error neural network prediction model improves the accuracy of fault prediction. The embedded platform developed by the Application Specific Integrated Circuit chip solves the problem of transmission limitation and insufficient computing power. It realizes the intelligent diagnosis and prediction of DEH system faults and guarantees the regular operation of the DEH system.

The coordinated fuzzy control of hierarchical power balance of new energy microgrid

In order to improve the coordinated control effect of hierarchical power balance of new energy microgrid, this paper applies fuzzy control method to this system, and proposes a hierarchical control strategy based on event-triggered communication. Each DG is regarded as a proxy, and the continuous actual value of output is replaced by the state prediction value. Moreover, two different event trigger condition functions for frequency and voltage are designed based on Lyapunov method respectively. At the same time, each DG only communicates with its neighbor DG aperiodic at the event trigger time, and finally all DG are restored to the reference value provided by the virtual leader. Finally, this paper constructs a coordinated fuzzy control simulation system for hierarchical power balance of new energy microgrid. Combined with the simulation results, the method proposed in this paper is feasible.

Application of a Stochastic Extension of the Analytical Design of Aggregated Regulators to a Multidimensional Biomedical Object

The results of the application of the methods of the synergetic control theory to a high-dimensional immunology object with uncertainty in its descriptions are reported. The control here is the therapy treated as a problem for constructing an optimal cure program. The control object is presented in continuous and discrete forms, i.e., mathematical models given by a system of ordinary differential equations with a bounded disturbance and a system of stochastic difference equations, respectively. Two algorithms for deriving robust regulators applicable to a 10-dimensional nonlinear multi-loop system with unstable limit states, which models an immune response to the hepatitis B infection, are obtained. Analytical control design for a continuous model relies on the method of nonlinear adaptation on the target manifold. The second algorithm represents a stochastic extension of the method of analytical design of aggregated discrete regulators minimizing the variance of the target macro variable. The numerical simulation of the developed control systems indicates the performance of the designed control algorithms. The results of this study can be used as a component part of the mathematical tools of expert systems and decision support systems.

Observer-based safety monitoring of nonlinear dynamical systems with neural networks via quadratic constraint approach

The safety monitoring for nonlinear dynamical systems with embedded neural network components is addressed in this paper. The interval-observer-based safety monitor is developed consisting of two auxiliary neural networks derived from the neural network components of the dynamical system. Due to the presence of nonlinear activation functions in neural networks, we use quadratic constraints on the global sector to abstract the nonlinear activation functions in neural networks. By combining a quadratic constraint approach for the activation function with Lyapunov theory, the interval observer design problem is transformed into a series of quadratic and linear programming feasibility problems to make the interval observer operate with the ability to correctly estimate the system state with estimation errors within acceptable limits. The applicability of the proposed method is verified by simulation of the lateral vehicle control system.

Research on the Calculation Model and Control Method of Initial Supporting Force for Temporary Support in the Underground Excavation Roadway of Coal Mine

This paper proposes a temporary support system for improving the efficiency and safety of underground roadway excavation in coal mines. Firstly, this study establishes a calculation model for the initial supporting force of the excavation of roadway temporary support and a gray system-based automatic prediction model for the initial supporting force level, based on the mechanism of temporary support controlling the roof. These models enable the prediction of the required initial supporting force at different locations along the roadway’s temporary support area, thereby providing a basis for controlling the initial supporting force of the temporary support system. To achieve efficient and adaptive control of the initial supporting force of temporary supports at different locations, this study designs a support force controller based on Simulated Annealing Particle Swarm Optimization Proportional-Integral-Derivative (SAPSO-PID). This study establishes a mathematical model for the hydraulic cylinder pressure system controlled by the temporary support overflow valve and conducts a stability analysis and model verification. The study constructs a simulation control system for the initial supporting force based on SAPSO-PID using the combined simulation platform of AMESim and Matlab. The simulation results demonstrate that the proposed support force control system efficiently achieves adaptive control of the initial supporting force of temporary supports. An experimental system in the underground roadway of a coal mine is constructed to validate the results of the simulation analysis.

Simulation of Beamline Motion Control System of Shanghai Synchrotron Radiation Facility BL13U

The Shanghai Synchrotron Radiation Facility’s hard X-ray nanoprobe wire station is currently under construction, so it is unable to conduct research on online testing, however, beamline adjustment is crucial prior to conducting experiments at the wire station, this challenge can be more effectively addressed by using simulation testing instead of online testing. In order to carry out intelligent beamline adjusting research before the online station is completed, this paper designs a beamline adjusting test simulation platform based on the EPICS software. Through the software simulation of the motor control system of the above-mentioned beamline, the beamline adjusting application of intelligent control methods is realized. The test results show that the system runs well and the intelligent beamline adjusting algorithm can efficiently and automatically optimize the motors in the system. The beamline adjusting test platform based on EPICS software can be further applied to the simulation and testing of other beamlines at the Shanghai Synchrotron Radiation Facility.