FPGA fuzzy controller design for magnetic ball levitation

this paper presents a fuzzy controller design for nonlinear system using FPGA. A magnetic levitation system is considered as a case study and the fuzzy controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Fuzzy controller will be implemented using FPGA chip. The design will use a high-level programming language HDL for implementing the fuzzy logic controller using the Xfuzzy tools to implement the fuzzy logic controller into HDL code. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system by using FPGA

Design of Optimized Fuzzy logic Controller for Magnetic Levitation Using Genetic Algorithms

This paper presents an optimum approach for designing of fuzzy controller for nonlinear system using Genetic Algorithms (GA). In this paper, a magnetic levitation system is considered as a case study and the controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Genetic Algorithm (GA) is used in this paper as optimization method that optimizes the membership, output gain and inputs gains of the fuzzy controllers. The proposed algorithms are implemented using Matlab and Simulin

Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

The design of controllers for non- linear systems in industry is a complex and difficult task. The development of non-linear control techniques has been approached in many different ways with varied results. One approach, which has shown promise for solving nonlinear control problems, is the use of fuzzy logic control. This Thesis will discuss the Magnetic Levitation (Maglev) models as an example of non linear systems. It will also show the design of fuzzy logic controllers for this model to prove that the fuzzy controller can work properly with nonlinear system. Genetic Algorithm (GA) is used in this thesis as optimization method that optimize the membership, output gain and inputs gain of the fuzzy controllers. The result of fuzzy controller with GA optimization will be compared with H2 controllerwhich is one of optimal control techniques, and will try to prove that fuzzy controller with GA optimization can gives better performance over H2 controller. Finally fuzzy controller will be implemented using FPGA chip. The design will use a high-level programming language HDL for implementing the fuzzy logic controller using the Xfuzzy CAD tools to implement the fuzzy logic controller into HDL code

FPGA Optimized Fuzzy Controller Design for Magnetic Ball Levitation Using Genetic Algorithms

This paper presents an optimum approach for designing of fuzzy controller for nonlinear system using FPGA technology with Genetic Algorithms (GA) optimization tool. A magnetic levitation system is considered as a case study and the fuzzy controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Fuzzy controller will be implemented using FPGA chip. Genetic Algorithm (GA) is used in this paper as optimization method that optimizes the membership, output gain and inputs gains of the fuzzy controllers. The design will use a highlevel programming language HDL for implementing the fuzzy logic controller using the Xfuzzy tools to implement the fuzzy logic controller into HDL code. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system by using FPGA with GA