Abstract
This paper proposed to design, implementation and simulation of Direct Torque Control of Induction Motor drive system is to minimize stator current distortion, electromagnetic torque and flux ripples. In this paper, Hybrid Neuro-Fuzzy Controller is proposed to replace the conventional PI torque and flux controller to achieve desired torque and flux with zero steady state error and also with good dynamic fast response. Neuro-Fuzzy based torque and flux controllers are designed to optimize the stator voltages in d-q reference frame that applied to Direct Torque Control. Simulation and the performance of the proposed Hybrid NFC are analyzed. Simulation results showed that a significant improvement in dynamic torque and speed response in both steady and transient states and also a considerable reduction in torque and flux minimization compared to the other AI techniques.
Highlights
Induction motor drives with cage type machines have been the workhorse in industry for variable speed applications in a wide power range that covers from fractional horsepower to multimegawatts
In last two decades the use of AC drives with Direct torque control (DTC) technique have gradually increased due to its advantages over the Field Oriented Control (FOC) techniques, good dynamic performance, precise and quick response of stator flux and electromagnetic torque, robust against machine parameter variations, no current control loop and simplicity of the algorithm [3].A classical or conventional DTC drive system, which is based on a fixed hysteresis bands for both torque and flux controllers, suffers from a varying switching frequency, which is a function of the motor speed; stator fluxes and stator voltage; it is not constant in steady state
In order to improve the dynamic performance of the classical DTC scheme, a new modified DTC based Neuro Fuzzy Controller (NFC) is proposed
Summary
Induction motor drives with cage type machines have been the workhorse in industry for variable speed applications in a wide power range that covers from fractional horsepower to multimegawatts. In order to improve the dynamic performance of the classical DTC scheme, a new modified DTC based Neuro Fuzzy Controller (NFC) is proposed In this technique is to ensure a constant switching frequency and the use of NFC is to obtain a decoupled between torque and flux. This present paper deals the development of a Neuro Fuzzy Direct Torque Control (NFDTC), expected to improve the dynamic performance compared to the Conventional DTC system. To overcome the disadvantages of the Classical DTC method such as, starting problems, distorted current waveform, Variable switching frequency, high torque and flux ripples and sluggish response This new proposed NFDTC system is designed, proved by means of simulation in MATLAB/SIMULINK.
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