Optimum Study of Auto-disturbance-rejection Controller for High-order Systems

An approach to design optimal auto-disturbance- rejection controller was presented for a class of observable high-order nonlinear plant. The controller parameters were optimized under the universal frame of genetic algorithms, and the desired dynamical equations were obtained according to the specified performance indices at the same time. A high-order plant was simulated using the method. Results were compared with the PID and exact feedback linearization control system. The results demonstrate that the method performs powerful functions for improving the dynamic characteristics. Simulation results also show that the method has good robustness against disturbances, noises and modeling uncertainties.