Speed Control of Three Phase Induction Motor using Real Time Interface (original) (raw)
Related papers
This paper presents a simulation based solution for difficulty in speed regulation of IMD under Variable-Frequency condition. The speed control of the Variable-Frequency Drive is of two types; Scalar and Vector. Scalar Control is based on the relationships valid in the steady state conditions, only magnitude and frequency of voltage, current and flux linkage are controlled. Vector Control is based on relationships valid for dynamic states, not only magnitude but also instantaneous positions of voltage, currents and flux. Direct Torque Control is one of the Vector Control methods to control the Variable Frequency Drives. The torque and flux are controlled simultaneously by applying suitable voltage vectors, and by limiting these quantities within their hysteresis bands, de-coupled control of torque and flux can be achieved. The DTC control method has been optimized by using conventional PI controller in the SR loop of Induction Motor Drive. The need for simple advanced control alternatives arises in Control Process. The application of Fuzzy Logic to wide range of control applications has made possible the establishment of Intelligent Controlling in the Control Processing. The main drawback of the DTC of IMD using conventional PI controller based SR is high torque, stator flux ripples and speed of IMD is decreasing under transient and steady state operating conditions. This drawback was eliminated using the FLC based SR loop. The FLC based SR control scheme combines the benefits of DTC technique along with FLC technique. The work of this paper is to study, evaluate and compare the technique of the conventional DTC and DTC-FLC applied to the induction machines through MATLAB-2009a. Keywords- Conventional PI controller, Direct Torque Control (DTC), Fuzzy Logic Control (FLC), Induction Motor Drives (IMD), Space Vector Modulation (SVM).
Performance of Direct Torque Controlled Induction Motor Drive by Fuzzy Logic Controller
Journal of Control Engineering and Applied Informatics, 2020
In this paper, Direct Torque Control (DTC) of three phase Induction motor (IM) using a fuzzy logic controller (FLC) is presented. Direct torque controller (DTC) is used to achieve good transient response with latent features an induction motor drive. The conventional DTC produces Flux/Torque ripple and variable switching frequency. The FLC is proposed to achieve smooth ripple free torque and speed performance. In this proposed technique, the speed error and change in speed error are processed through the FLC. The proposed fuzzy logic controller calculates the appropriate inputs variables for the DTC loop using logic variables. The FLC produces the reference torque for the torque control loop. The electromagnetic torque is controlled to control the speed of the induction motor. Space Vector Pulse Width Modulation (SVPWM) is used to generate gate pulses for the three-phase Voltage Source Inverter with constant switching frequency. The proposed FLC and conventional PID controller sys...
This paper presents a direct flux and torque control (DTC) of Induction motor drive (IMD) for speed regulator (SR) using PI and fuzzy logic controller (FLC). The DTC control method has been optimized by using conventional PI controller in the SR loop of IDM. The main drawback of the DTC of IMD using conventional PI controller based SR is high torque, stator flux ripples and speed of IMD is decreasing under transient and steady state operating conditions. This drawback was eliminated using the FLC. The FLC based SR control scheme combines the benefits of DTC technique along with PI and FLC technique. Finally the effectiveness, validity, and performance of the DTC of IMD using both conventional PI and FL controller based SR has been analyzed, studied, compared, and confirmed by simulation result, from the simulation result found that the low torque, stator flux ripples, and rated speed with the FLC technique using Matlab / simulink.
PI Speed Control for Fuzzy Direct Torque Control of induction motor using Fuzzy switching pattern
In this paper direct torque control (DTC) is applied for induction motor control fed by three phase PWM inverter. Two control approaches using fuzzy DTC are developed and applied to adjust the speed of the drive system. The validity of the proposed control scheme is verified by simulation tests of an induction motor drive system. The stator current, flux, torque, and speed are determined and compared in the above techniques using MATLAB-SIMULINK environment.
Direct Torque Control of a Three Phase Induction Motor using a Hybrid PI/Fuzzy Controller
This paper presents a method for improving the speed control of 3-phase induction motors (IM) using hybrid direct torque controller (DTC)/Fuzzy logic controller (FLC) techniques. A complete simulation of the conventional DTC and closed-loop for speed control of a 3-phase IM was tested using SimuLink. The speed control of the IM is done by using the conventional proportional integral (PI) controller and FLC. The proposed FLC has a nature of PI controller to determine the torque reference for the motor. The effect of variation of the speed reference trajectories on the dynamic response has been clearly tested for both conventional and FLC speed controllers. The simulation results showed a better dynamic performance of the induction motor when using the proposed DTC/FLC in comparison with a fixed PI controller. Also, the DTC/FLC has improved the speed control of the IM over a wide range of operating conditions.
In this study, comparison between PI controller, fuzzy logic controller (FLC) and an anti-windup PI (PI+AW) controller used for speed control with direct torque controlled induction motor is presented. Direct torque controlled induction motor drive system is implemented in MATLAB/Simulink environment and the FLC is developed using MATLAB/Fuzzy-Logic toolbox. The proposed control strategy is performed different operating conditions. Simulation results, obtained from PI controller, FLC and PI+AW controller showing the performance of the closed loop control systems, are illustrated in the paper. Simulation results show that FLC is more robust than PI and PI+AW controller against parameter variations and FLC gives better performance in terms of rise time, maximum peak overshoot and settling time
Direct Torque Control (DTC) is one of the most excellent strategies of torque control of an induction machine. it aims to provide a decoupled control of torque and flux. However, during steady state, notable torque, flux, and current ripples occur. it influences greatly the speed estimation, speed response, and also in increased acoustical noise. In this study, direct torque control (DTC) of induction motor is evaluated based on space vector modulation (SVM), it is able to reduce the acoustical noise, the torque, flux, current, and speed rippels. This proposed method based on utilising tow PI controllers for torque and flux is designed to achieve estimated torque and flux with good tracking and fast response with reference torque, in addition, design of PI controllers are used to optimize voltages in d-q reference frame that applied to SVM. The simulation Results of proposed DTC-SVM give excellent performances in steady and transient states as compared with classical DTC. Another point of this paper is the presentation of speed control and the production of the reference torque by using a fuzzy logic speed controller. The response of the fuzzy PI is compared with classic PI speed controller. Results, shows that the fuzzy PI speed controller has a better response in a wide range area of motor speed. Combining the characteristics of DTC-SVM scheme and the fuzzy logic speed controller can give a high performance controlled induction motor drive.
This paper presents improvements in Direct Torque control of induction motor using Fuzzy logic switching controller (FDTC). The conventional DTC (CDTC) and FDTC drive performance is compared using Conventional PI, Fuzzy controller and Neural Network controllers. The major disadvantages of CDTC are high torque and flux ripples in steady state operation of the drive, inferior performance at low speed operation and variable switching frequency. The presence of hysteresis bands is the major reason for high torque and flux ripples in CDTC. In FDTC the hysteresis band and switching table are replaced by Fuzzy logic switching controller. Using fuzzy logic torque, stator flux space are divided into smaller subsections which results in precise and optimal selection of switching state to meet load torque. In high performance drives accurate tuning of PI speed controller is required. The conventional PI controller cannot adapt to the variation in model parameters. Artificial intelligence based fuzzy controller and neural network controller are compared with PI controller for both CDTC and FDTC of Induction machine. The proposed schemes are developed in Matlab/Simulink environment. Simulation results shows reduction in torque and flux ripples in FDTC and dynamic performance of the drive at low speeds and sudden change in load torque can be improved using Fuzzy logic controller compared to PI and neural network controller.
Direct Torque and Flux control of Induction Machine using Fuzzy Logic controller
In this paper improvements in dynamic and steady state performance of direct torque and flux control (DTFC) of induction machine using modified switching table and fuzzy logic controller (FLC) is presented. The major concern in DTFC is selection of the switching state vector in order to meet torque and flux demand of the drive. Main drawbacks of of conventional DTFC is high flux and torque ripples under steady state and variable switching frequency due to hysteresis controllers. Conventional switching table cannot produce accurate voltage vector. Using Fuzzy logic controller (FLC) the torque error, flux error and stator flux angle are divided into smaller subsections. FLC replaces hysteresis controllers and conventional switching table with 180 rule base developed selects optimal switching state, there by reduction in torque and flux ripples and improved dynamic and steady state response is obtained. The proposed methods are evaluated using simulation by MATLAB/Simulink.
Direct Torque Control of Three Phase Induction Motor Using Fuzzy Logic
2013
Induction motor drives using field oriented control (FOC) for torque and flux control have been used in high performance industrial applications instead of dc motors for many years. In FOC, torque and flux of an induction motor can be controlled independently by decoupling the stator current into its orthogonal components. The FOC method has achieved a quick torque response. But in order to achieve expected performance from FOC, exact identification of parameters is required. A new torque and flux control scheme called the direct torque control (DTC) has been introduced for induction motors. In DTC the torque and flux of an induction motor can be controlled directly by applying a suitable voltage vector to the stator of an induction motor. However, convectional DTC result in large torque and flux ripples. In this paper, a controller based on fuzzy logic is designed to improve the performance of DTC and reduce the torque and flux ripple.