Design for beam-balanced system controller based on chaos genetic algorithm

A class of effective and general hybrid optimization strategy is proposed which reasonably combines the parallel structure of genetic algorithm with the high searching chaos, which can solve the invalidation problem of genetic falling into a local optimization. Using this method, an optimized controller for beam-balanced system is designed. Simulation results show that its performance is better than conventional controller and the beam-balanced control system has good robustness.

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