坦克稳定器状态补偿控制研究

基于状态观测、补偿理论，设计坦克稳定器控制系统。通过遗传算法优化控制器参数，结合Monte-Carlo随机试验方法，进行系统的性能鲁棒分析。动态仿真试验表明在考虑系统的本质非线性环节、高频低幅外扰的情况下，所设计的控制器比PI控制具有更高的精度，更小的超调量，比滑模控制具有更强的扰动抑制能力，并且克服了本质非线性环节的影响，具有快速随动、稳态无静差、扰动不敏感的性能。

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.