Speed Of Induction Motor Research Articles

Induction motor control system with a Programmable Logic Controller (PLC) and Profibus communication for industrial plants — An experimental setup

Existing monitoring and control of an induction motor systems must be interoperable with next generation products to ensure smart integration in order to update existing system by reducing the cost and increasing the reliability. The best method must be chosen for efficient use of energy in some cases such as speed control, switching-on or switching-off, or in controlling the speed of induction motors, which make up a large part of the load group in industrial field. In this study, the controlling and monitoring of an induction motor parameters were carried out over a computer by using the Profibus (Process Field Bus) communication method through the TIA (Totally Integrated Automation) Portal program used to program all Siemens PLCs (Programmable Logic Controllers). The induction motor parameters were obtained over the frequency converter without using additional cards such as current, voltage, frequency and speed measurement. In this way, cables and electronic cards confusion were avoided and a safer, faster and more functional application was implemented compared to classical methods. KEPServerEx OPC (Ole-for Processing Control) Server program by OPC Foundation was preferred for the communication of computer with a PLC. Profi-Lab editor program was used for monitoring and controlling the system over a computer.

Dynamic Simulation for Three phase Induction Motor and Speed Control Using Matlab Simulink

The use of mechanical energy in daily life including industries and transport applications are increasing rapidly. Induction motor has special advantages because of less cost, reliable, robust and less maintenance when compared to other motors. It also has special features which satisfies all the requirements. On the whole 3-phase IM (Induction motor) plays major role in several applications (i.e. industrial, mechanical). The meticulous behavior of induction motor modeling and speed control can aid for controlling of machine application where flawless results can be obtained. The major faults in the IM effect the air gap flux, where the mathematical modeling can helpful to estimating the errors obtain while designing the motor. The paper represents the bit by bit implementation of 3-phase induction motor modeling and speed control using MATLAB simulation.

Analysis of the implementation of three-phase Variable Frequency Drive on the prototype of a rice drying machine

The prototype of the rice drying machine is a device used for rice dryers that are not weather dependent. The driver of this prototype rice drying machine uses ½ HP induction motor as its main mover. To be able to adjust the rotation of the induction motor using Variable Frequency Drive (VFD) brand LS iC5 with 1 HP power. The rotation needed to rotate the load can be done by changing the frequency and voltage so that the rotation speed of the induction motor can be adjusted as needed. From the testing of a no-load induction motor with a frequency adjustment range from 5 Hz to 13 Hz, the induction motor speed is 142.8 rpm (rotation per minute) to 375.3 rpm. The measured voltage is 76.5 V to 116.7 V and the measured current is 2.5 A to 1.6 A. From the results of the test of a no-load induction motor it can be concluded that the ratio of frequency to voltage is directly proportional while the ratio of frequency to current is inversely proportional. In testing induction motors with a frequency adjustment range from 5 Hz to 9 Hz, they produce the same conclusions as to the induction motor load testing. VFD is certainly appropriate to be used as a speed regulator as needed.

Performance Evaluation of Fuzzy-PID in Speed Control of Three Phase Induction Motor

Induction motor (IM) is one of AC motor type which mainly applied for adjustable speed applications and consumes approximately 60% of the total industrial electricity consumption. IM is chosen due to its simple structure, reliability, high efficiency, and low cost. There are two main methods in speed and torque control of IM which are scalar control and vector control. Vector control is divided again as Field Oriented Control (FOC) and Direct Torque Control (DTC). In this research, DTC is chosen due to its simplicity compared with FOC. PID is reported that used by 90% industrial section because of its simplicity, applicability, and reliability. Fuzzy Logic Control (FLC) is one of the artificial intelligences that can be used to online tune the PID parameters. The simulation of speed control of the IM base on DTC has been carried out. The simulation result shows that in both no-load and loaded tests, Fuzzy-PID gives better results in speed tracking. In terms of control energy, Fuzzy-PID consumes more energy by 4.5% with better performance in the no-load test. Whereas for the loaded tests, it also has better performance with less energy by 1.03 % compared with PID.

Operation and Control of 3-Phase Induction Motor using STM-32 Controller

Various automation processes are changing scenarios of controlling AC induction motors using AC drives. A robust system for switching on/off, varying the speed and direction of rotation of an industrial 3 Phase Induction Motor using VFD. Minimum variation in motor operation when it is running in loading condition. The STM32 is an optimal choice to support many applications with the same platform. The total pin-to-pin, peripheral, and software compatibility across the family gives you full flexibility across many devices. STM32 controller address three main energy requirements, High dynamic power efficiency in running mode, extremely low power when the application is on standby, and low voltage capability for direct battery operation. Built-in supervision in STM32 controller reduces the external components like power-on reset and watchdog timer with the independent clock. In this paper 3-phase induction, the motor operation is performed in real-time, and the difference between the given speed and actual speed is observed. To enhance the accuracy of the induction motor speed external VFD is placed between the power supply and motor which gives regulated output by varying 0-10V DC analog voltage as controlling input. It is a cost-effective solution to use a single controller than PLC.

Finite element method for optimal transformer connection based on induction motor characteristics analysis

The Voltage Sags (VSs) may cause irrecoverable impacts on the sensitive loads, such as moving into plugging mode and high pulsations of the torque. So, the various effects of VSs on these loads should be studied, considering all conditions. The non–linear performance of the transformer causes the calculation of VS problem to be complicated. Therefore, a robustness approach should be chosen to solve the problem. In this paper, a novel classification of VS is carried out by using the non–linear solver of the transient Finite Element Method (FEM). In the proposed method, the non–linear behavior of the iron core of the transformer applied using the Jiles–Atherton (JA) vector hysteresis model to increase the precision of the results. To obtain a comprehensive classification, different connections of transformer windings as well as various types of short circuits are considered, and the influence of these classes on the Induction Motor (IM) performance is rendered. To show the accuracy of the proposed method, the VS results of other methods and FEM are compared with IEC standard data by introducing an evaluation metric. The comparison outcomes verified the effectiveness of the proposed method, as the average of errors obtained 4.9%, which is lower than other approaches. Furthermore, an IM is considered to characterize its speed and torque variations. Based on the IM speed deterioration, the best–to–worst connections of the transformer windings are appointed. Finally, the simulation results demonstrate that under single phase SC, when the primary connection of the transformer is Star or grounded Star, the deterioration of speed is lower than others, which are related to the first to third classes. In essence, the key obtained result is that the results of VS calculations with FEM could be a proper database, because of its ability in solving the non-linear problems with minimum errors.

Design and Implementation of Constant Speed control System for the Induction motors Using Programmable logic Controller (PLC) and Variable Frequency Derive (VFD)

This paper presents an automatic speed control system on three phase squirrel cage induction motor using Programming Logic Circuit (PLC) and Variable Frequency Drive (VFD) techniques. The aim of this study is to obtain a constant speed of induction motors when these motors are exposed to variable loads. The required speed of the induction motor can be set as a numerical value by (PLC), while the actual speed of the induction motor can be measured by a tachometer which is equipped with (PLC) ) Through an Analog to Digital Converter (ADC). Then the two speeds are compared to the set point with minimum error to get the required constant speed. The control system designed to be tested with two stator poles number (two and four poles) of induction motors. The results have cleared that in spite of doubled the load 11 and 8 times respectively, but the yield average shaft speeds are almost constant 2891.15 rpm and 1402.45 rpm respectively.

Experimental Study of Various Parameters during Speed Control of Three-phase Induction Motor Using GPIC and LabVIEW

Induction motors are widely used from home to industrial applications. Speed of induction motor plays important role, so to control the speed of induction motor various techniques are adopted and one of these techniques is V/F control, which is adopted in this paper. This technique helps to control the speed in open control system in RPM. Moreover, Control is designed in LabVIEW, it is quite helpful to develop the circuit graphically and code is automatically written in the background to run on Field Programmable Gate Array (FPGA). The aim of this research is to study the impacts on diverse parameters during speed control of three phase induction machine with manipulation of GPIC. Solar technology is used as input source to drive the General-Purpose Inverter Controller (GPIC). Apart of this, impacts of modulation index and carrier frequency influencing the active, reactive and apparent power, temperature and power quality and current overshoot is analysed. MATLAB/Simulink and LabVIEW tools are used for simulation and results along with GPIC, Induction motor and solar panel as hardware.

Experimental Study of Various Parameters during Speed Control of Three-phase Induction Motor Using GPIC and LabVIEW

Induction motors are widely used from home to industrial applications. Speed of induction motor plays important role, so to control the speed of induction motor various techniques are adopted and one of these techniques is V/F control, which is adopted in this paper. This technique helps to control the speed in open control system in RPM. Moreover, Control is designed in LabVIEW, it is quite helpful to develop the circuit graphically and code is automatically written in the background to run on Field Programmable Gate Array (FPGA). The aim of this research is to study the impacts on diverse parameters during speed control of three phase induction machine with manipulation of GPIC. Solar technology is used as input source to drive the General-Purpose Inverter Controller (GPIC). Apart of this, impacts of modulation index and carrier frequency influencing the active, reactive and apparent power, temperature and power quality and current overshoot is analysed. MATLAB/Simulink and LabVIEW tools are used for simulation and results along with GPIC, Induction motor and solar panel as hardware.

Comparison of Conventional and Modified Direct Torque Control of Three-Phase Induction Motor Using Three-Level Flying Capacitor Inverter

The work presented in this paper aims to compare the effectiveness of different control strategies to improve the performance of the three-phase Induction Motor (IM). The Conventional Direct Torque Control (CDTC) was employed as the first strategy for driving the IM. This control strategy causes high ripples in the IM's torque and speed due to the hysteresis comparators and a variable switching frequency due to the look-up table. A modified DTC strategy based on Space Vector Modulation (DTC-SVM) was chosen as a second strategy to enhance the performance of the IM using the two-level inverter. This method, which leads to the reduction of the torque and speed ripples and achieves constant switching frequency. As the multi-level inverter becomes most popular than the two-level inverter, the third strategy is devoted to adopting the three-level flying capacitor inverter (TLFCMLI) -based DTC-SVM. The third strategy uses the method of mapping the multi-level space vector based on basic two-level SVM. Matlab/Simulink software package is utilized to implement the suggested controllers. Simulation results show that the DTC-SVM based on TLFCMLI significantly enhances the IM's performance compared with the other two strategies from the voltage and current profiles, torque, and speed points of view.

Intelligent speed control and design of direct torque controller of doubly fed induction motor

This paper presents the performance analysis of doubly fed induction motor speed control where the direct torque control strategy is used to obtain high performance torque control. For this, the classical proportional integral and fuzzy logic controllers are applied. Both types are considered in this work in order to analyse their performances as well as their robustness with respect to external disturbances (load torque variation) and internal (stator resistance variation). A complete simulation model for the proposed drive is developed using MATLAB/Simulink. The effectiveness of the proposed drive is verified at different dynamic operating conditions by simulation results. Indeed, the simulation results showed that the proportional integral controller is sensitivity to motor parameter variations because their coefficients are calculated according motor's parameters but the artificial fuzzy logic controller ensures the best performances in stator resistance and load variations and better dynamic characteristics.

Fuzzy Logic Control for Solar PV Fed Modular Multilevel Inverter Towards Marine Water Pumping Applications

This paper presents the design and implementation of Modular Multilevel Inverter (MMI) to control the Induction Motor (IM) drive using intelligent techniques towards marine water pumping applications. The proposed inverter is of eleven levels and has the ability to control the speed of an IM drive which is fed from solar photovoltaics. It is estimated that the energy consumed by pumping schemes in an onboard ship is nearly 50% of the total energy. Considering this fact, this paper investigates and validates the proposed control design with reduced complexity intended for marine water pumping system employing an induction motor (IM) drive and MMI. The analysis of inverter is carried out with Proportional-Integral (PI) and Fuzzy Logic (FL) based controllers for improving the performance. A comparative analysis has been made with respect to better robustness in terms of peak overshoot, settling time of the controller and Total Harmonic Distortion (THD) of the inverter. Simulations are undertaken in MATLAB/Simulink and the detailed experimental implementation is conducted with Field Programmable Gate Array (FPGA). The results thus obtained are utilized to analyze the controller performance, improved inverter output voltage, reliable induction motor speed control and power quality improvement by reduction of harmonics. The novelty of the proposed control scheme is the design and integration of MMI, IM drive and intelligent controller exclusively for marine water pumping applications.

Intelligent speed control and design of direct torque controller of doubly fed induction motor

This paper presents the performance analysis of doubly fed induction motor speed control where the direct torque control strategy is used to obtain high performance torque control. For this, the classical proportional integral and fuzzy logic controllers are applied. Both types are considered in this work in order to analyse their performances as well as their robustness with respect to external disturbances (load torque variation) and internal (stator resistance variation). A complete simulation model for the proposed drive is developed using MATLAB/Simulink. The effectiveness of the proposed drive is verified at different dynamic operating conditions by simulation results. Indeed, the simulation results showed that the proportional integral controller is sensitivity to motor parameter variations because their coefficients are calculated according motor's parameters but the artificial fuzzy logic controller ensures the best performances in stator resistance and load variations and better dynamic characteristics.

Improved Control Strategy for Three-Phase AC Choppers under Induction Motor Load (Dept.E)

This paper p resents a modified control strategy for controlling three-phase ac chopper under induction motor load. This modified strategy is known as Extinction Angle Control (EAC). This new strategy is compared with the Modified Phase Angle Control (MPAC) and Symmetrical Angle Control (SAC) to demonstrate its superior performance. These strategies are based on varying the stator ac voltage to control the speed of a three-phase induction motor. The proposed strategy is characterized by a higher power factor and a better total harmonic distortion compared with the other two strategies over the normal operating arrangement. Performance evaluation of the motor under the different switching strategies is demonstrated. The simulation of the system is carried out using a PSIM computer program. The simulation results are compared with the experimental results obtained from a laboratory prototype. The levels of harmonics in the supply currents and power factor are evaluated for different control strategies.

Analysis of 3 Phase Induction Motor Speed Control with Direct Torque Control (DTC) Method Based on PID Control

This research was conducted to regulate the three phase induction motor speed regulation system. Changes in load on the motor affect the motor speed response so it does not match the set point speed. This study uses the Direct Torque Control (DTC) method in regulating the speed of an induction motor. The DTC method is a vector control method that is directly assigned to the inverter. DTC method in controlling speed based on Proportional Integral Differential (PID) control. Determination of PID tunning using two methods, namely, ziegler-nichols and cohen-coon method. The ziegler-nichols method have overshoot speeds starting at 0.8% of the setpoint, whereas using the cohen coon method there is no overshoot and the speed at stable conditions matches the setpoint.

Design and application of SPWM based 21-level hybrid inverter for inductionmotor drive

Thispaperpresentstheapplicationofanewlydeveloped21-levelhybridmultilevelinverter. Ahighfrequency modulation technique known as sinusoidal pulse width modulation (SPWM) is applied to the hybrid inverter. This modulation methodology operates the switching sequences of the multilevel inverter to produce the desired 21-level output voltage. To validate the proper application of this inverter, it is further utilized to maintain the speed of a single phase induction motor. The velocity control of the motor is established on the principle of V/f control technique. The speed control strategy along with the compatibility of the SPWM modulation technique were verified by means of simulation and experimental results.

SPEED OBSERVER FOR SENSORLESS ENERGY GENERATION SYSTEMS BASED ON FIELD ORIENTED INDUCTION GENERATOR

The paper presents a novel adaptive speed – rotor flux linkage observer for sensorless field oriented control of induction generators. The proposed solution is based on Matsuse observer structure to- gether with specially designed correction terms and utilize current measurement and calculated stator volt- ages for real-time flux and speed reconstruction. A special coordinate transformation is used to avoid non- linear parametrization in the right side of flux linkages differential equations. Adaptive observer is designed in two steps: at the first step nonadaptive flux linkage observer is designed under condition of speed meas- urement; at the second step adaptive to rotor speed version of the flux linkage observer is designed. Infor- mation about rotor speed for adaptive flux observer is calculated by developed speed observer. A second Lyapunov’s method together with adaptive control theory are utilized for observer’s correction terms synthe- sis and stability proof. Designed adaptive observer under persistence of excitation conditions guarantees local exponential estimation of constant rotor speed and flux linkage vector components of induction ma- chine. From the practical point of view persistency excitation conditions are met if rotor flux linkages are nonzero. Proposed solution investigated by simulations. It is shown, that developed adaptive speed observer provides asymptotic estimation of induction motor currents, speed and flux linkage components under con- stant speed conditions. For varying speed proposed observer provides estimation of required variables with a small dynamic error. Proposed observer can be used in energy generation systems based on induction generators as well as in sensorless induction motor-based drive systems with constant or slowly varying ro- tor speed.

Newton–Raphson based scalar speed control and optimization of IM

In this study, Newton–Raphson Based (NRB) scalar speed control (SSC) is recommended to control the speed of Induction Motors (IM). As is known, the Newton–Raphson method, which is often used in numerical analysis, is one of the methods that provide a rapid convergence of the desired value. In this study, the frequency value required for the desired speed value is calculated by Newton–Raphson method. Three different models including Newton–Raphson Based + Scalar Speed Control (NRB_SSC), Difference Speed + NRB_SSC (DS_NRB_SSC), DS + NRB_SSC + Difference Frequency (DS_NRB_SSC_DF) were used for optimization tests. Simulation of the work was done in Matlab/Simulink programme. According to obtained test results DS_NRB_SSC_DF has produced better results.

Design of Sliding Mode Observer Based Controller of Single-Phase Induction Motor

Single-phase induction motors are simple in construction, cheap in cost, reliable and easy to repair and maintain. Many controllers were designed to control the speed of a single-phase induction motor, but they are sensitive to plant parameter variations and disturbances. Speed control with very less transient response requires non-linear and robust control methods. Sliding mode control is one of the robust control techniques which is insensitive to disturbances. Here we propose a higher order sliding mode (SM) observer-based controller for a single-phase induction motor. The applied control depends on the dynamic model of the induction motor. The controller is structured by applying a blend of input linearization strategy and higher order sliding mode calculation with consistent estimation of rotor speed and stator currents, which limits the vulnerabilities continuously and lessen the chattering phenomenon in the control effort exertion utilizing a super twisting algorithm.

Artificial neural network-based current control of field oriented controlled induction motor drive

A hysteresis current controller (HCC) is commonly used in high-performance AC motor drives to control the current directly. Recently, the predictive current controller (PCC) is also used as an alternative to the classical current controller for speed and torque regulation of induction motor (IM) drives. However, PCC has drawbacks of large flux and torque ripples, large total harmonic distortions (THDs) in current and voltage and dependency on parameters. This paper proposes current control with artificial neural network (ANN) for a field-oriented controlled induction motor (FOCIM) drive. The ANN has input current error between the reference and the measured stator currents. The output function of neuron is a hyperbolic tan (or tan-sigmoid) function to apply error Levenberg–Marquardt (L–M) back propagation as learning rule because of its fast convergence. The proposed method is based on a new approach in which hysteresis band is replaced by ANN comparator to improve the performance of the FOCIM drive. It minimizes torque ripples, flux ripples, voltage and current THDs over the existing HCC and PCC methods. The superiority of the proposed method compared to existing methods is established by simulation and experimental results.