An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization
نویسندگان
چکیده
The design, operation and control of stabilization -tracking systems has been a challenging task for the scientists and engineers with the present day requirements of modern aged sophistication of these systems. The conventional control concepts have been outplayed by the optimal control techniques with the evolution of the modern control theory. Moreover, due to the problems associated with modern control techniques have motivated the engineers to apply intelligent technique to circumvent these difficulties. An attempt has been made to design and feasibility of an adaptive Particle Swarm Optimization (PSO) based fuzzy logic controller for stabilization-tracking system. The simulation results obtained in the study demonstrate the feasibility of the designed controllers.
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