Abstract
A real time simulator is utilized in control of hydraulic position servo systems, i.e. a non-linear real-time simulator in parallel with the real system is to be controlled. The method combines directed random search method and real-time simulator for developing robust, intelligent adaptive controllers for servo systems. By directed random search method the parameters of the controller can be optimized to achieve good control properties. In this study each generation of parameters is tested on-line by a real-time simulator before applying into the real process. A hydraulic position servo system is tested in developing novel intelligent control method. The simulator of the hydraulic system is built based on the result from utilizing Markov chain Monte Carlo Method. The parameters of intelligent controller are updated by utilizing particle swarm optimization algorithm.
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