Fpga Based Intelligent Control of Ac Motors

Abstract

ABSTRACT newlineThe design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. A promising direction in the design of intelligent systems involves the use of Fuzzy logic control to discover the abilities of intelligent control systems in utilizing experience via rule-based knowledge. newlineThe most commonly used controller in the industry field is the proportional-plus-integral (PI) controller, which requires a mathematical model of the system. Fuzzy logic controller (FLC) provides an alternative to conventional PI controller, especially when the available system models are inexact or unavailable. Also rapid advances in digital technologies have given designers the option of implementing controllers using Field Programmable Gate Array (FPGA) which depends on parallel computing. This platform has many advantages compared to classical microprocessors. In this research work, a Fuzzy Logic controller, which is fabricated on modern FPGA card (Spartan XC3s500e-5fg320) is proposed to implement a prototype of a speed controller for three-phase induction motor (squirrel cage type). newlineThe Fuzzy Logic Controller and the PWM strategies such as SPWM, RFPWM, THIPWM, sixty degrees and Hybrid RF-THIPWM which have been built in FPGA appeared fast speed response and good stability in controlling the three-phase induction motor. For comparison purpose, a conventional PI controller has been implemented in the same FPGA board to examine the performance of the Fuzzy Logic Controller. These controllers have been tested using Matlab/Simulink program under various reference speeds. The designed FPGA based closed loop Fuzzy Logic Controller s performance is weighed against with that of a conventional PI controller. Fuzzy Logic Controllers (FLCs) are advantageous over the conventional controllers since they are easy to develop and to cover wider range of operating