State compensating control of tank stablizator

A state compensating controller for tank stabilizator was designed. Genetic algorithms was used to optimize the controlled parameters. Monte-Carlo method was used to evaluate the robustness of the control system. Simulation results show that in the condition of high frequency disturbance and effect of inherently nonlinear, this method comparing with PI controller shows that method has more accurate and less override; comparing with sliding mode controller that the method has stronger ability of disturbance rejection; conquers the effect of inherently nonlinear, and has high speed performance, no static error and robustness.