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|Title||Fuzzy Logic Speed Controllers Using FPGA Technique for Three-Phase Induction Motor Drives|
The 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. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID) controller, which requires a mathematical model of the system. Fuzzy logic controller (FLC) provides an alternative to PID 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 programming. This method has many advantages over classical microprocessors. In this research, a novel Fuzzy-PID controller, which is fabricated on modern FPGA card (Spartan-3A, Xilinx Company, 2007) is proposed to implement a prototype of a speed controller for three-phase induction motor (squirrel cage type) as a an example for complex model systems. The proposed controller and the pulse width modulator PWM inverter algorithm which have been built in FPGA appeared fast speed response and good stability in controlling the three-phase induction motor. For comparison purpose, another two widely used controllers "PID and Fuzzy" have been implemented in the same FPGA card to examine the performance of the proposed system. These controllers have been tested using Matlab/Simulink program under speed and load variation conditions. The results show that the Fuzzy-PID is the best controller between them. In this thesis, the fuzzy logic control demonstrates good performance. Furthermore, fuzzy logic offers the advantage of faster design, and emulation of human control strategies. Also fuzzy control work well for high-order and nonlinear and shows the efficiency over the PID controller.
|Publisher||the islamic university|
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