Abstract

This thesis describes a research study on an electromechanical system with saturation, where fuzzy hybrid controllers and Linear Quadratic Regulator (LQR) with integral action and anti-windup are applied. The study focuses on the implementation of this Integral Fuzzy Logic Controller (IFLC) on a Field-Programmable Gate Array (FPGA) board. Fuzzy controllers, known for their effectiveness in handling disturbances and saturations, are used in a parallel structure. To optimize the performance of the controller, the Particle Swarm Optimization (PSO) technique is used to adjust the membership functions and feedback loop gains. Complex algebraic concepts and Type 1 fuzzy logic algorithms are transformed into mathematical equations suitable for the Very High-Speed Integrated Circuit Hardware Description Language (VHDL). The proposed controller is co-simulated using Vivado and Xilinx® System Generator (XSG) tools on both software and hardware platforms. The use of fixed-point data propagation in the controller\'s structure ensures optimized implementation methods. The performance index of our controller surpasses that of a conventional Proportional-Integral-Derivative (PID) controller, demonstrating superior efficacy in regulating the system dynamics. To verify the effectiveness of the proposed control strategy, a thorough comparison is conducted using control simulations between it and previous PID systems. The results show a 31% decrease in speed overshoot.


Keys Words: Hardware Implementation;Control Algorithms;Fuzzy Logic Controller; Linear Quadratic Regulator (LQR);Particle Swarm Optimization (PSO); Fixed Point Design;Field-Programmable Gate Array (FPGA). 

Information

Item Type:	Thesis
Divisions:	» Faculty of Science and Technology
ePrint ID:	4993
Date Deposited:	2024-06-20
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/4993

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