Design of H-inf Controller with Tuning of Weights Using Particle Swarm Optimization Method

In this paper a new method based on a particle swarm optimization (PSO) algorithm for tuning the weighing functions parameters to design an  H controller is presented. The PSO algorithm is used to minimize the infinity norm of the transfer function of the nominal closed loop system to obtain the optimal parameters of the weighting function. This method is applied to a typical industrial pneumatic servo actuator with system uncertainty and wide range of load variation to illustrate the design procedure of the proposed method. It is shown that the proposed method can simplify the design procedure of  H control to obtain optimal robust controller

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