Fuzzy - Pid Speed Control Of Pmsm Drive For Ev (Qute Bajaj) Application

Abstract

This thesis explores speed control of PMSM drive using fuzzy - PID controller strategy which is used to drive and control the speed and torque of PMSM. These controllers will replace the conventional PID controller which have the disadvantage of convectional PID controller which may not accommodate the uncertainties and disturbances. In addition to this the controller is not really suited for nonlinear plants and not assure the desired performance for a changing environment/ operating points, and thus present low robustness. Thus fuzzy - PID improve the drawback for its proper performance. The conventional approach to these issues is to tune the proportional and integral gains manually by observing the response of the system. The tuning of the PID parameters must be made on-line and automatic in order to avoid tedious tasks in manual control. The well-known Ziegler-Nichols method to tune the coefficients of a PID controller is very simple to implement and tune, but cannot guarantee to be always effective. For this reason, this thesis proposed the design of an on-line selftuning PID controller scheme using fuzzy logic controller. PMSM have the potential to providing high torque-to-current ratio, high power-to-weight ratio, high efficiency and robustness. Due to the above favourable point PMSMs are commonly used in latest variable speed AC drives, particularly in city Electric Vehicle applications and PMSM became at the top of ac motors in high performance drive systems such as EV like QUTE BAJAJ which requires frequent start and stop. Electric vehicle is a best solution for reduction global warming and climate change science it is not providing harmful gases. This thesis also will describe the methodology and process of modelling the PMSM drive including data analysis using MATLAB-Simulink will implemented. This project will improve time domain specifications (Rise Time, Peak Time, Peak Value, Peak Overshoot, Settling Time and Steady State Error) of PMSM improved by using the fuzzy- PID speed controller over convectional controller. The obtained results for conventional and proposed approaches will compared.