NOVEL APPROACH ON ADAPTIVE CONTROL OF NONLINEAR SYSTEMS USING PSO & FFA

Abstract

With the help of evolutionary concepts and behaviour of biotic components of nature, many optimization algorithms were developed. Optimization techniques like Particle Swarm Optimization and Firefly Algorithms are among the latest research topics. Several advancements have also been made in these algorithms. A large amount of research has been done to solve large scale nonlinear optimization problems. An effective solution in this regard could be the use of Particle Swarm Optimization (PSO) and Firefly Algorithm (FFA). This dissertation presents application of PSO and FFA on indirect adaptive control of nonlinear systems for liquid level control in surge tank system and inverted pendulum system. The model of the systems has been derived and indirect adaptive control technique has also been explained in detail with a tilt towards its implementation using PSO and FFA techniques. A comparative analysis has been made on both the systems separately using both PSO and FFA adaptive control and the simulation results have been discussed extensively.