基于混合优化的前馈—反馈复合控制器最优设计

Optimal Design for the Feedforward-feedback Compound Controller Based on a Hybrid Optimization Algorithm

为了解决传统PID控制器在电动舵机系统设计中难以满足控制要求的问题,首先设计了一种规范化前馈—反馈控制系统,然后利用混沌优化算法和共轭梯度方法相结合的混合优化算法对前馈—反馈控制器参数进行了优化。仿真结果表明:基于混合优化算法的前馈—反馈控制器具有很好的动态和静态性能,增强了系统的稳定性和鲁棒性,降低了学习参数选择的盲目性和对经验的高度依赖性。

Considering the fact that it is difficult for the conventional PID controller to meet control request in the aircraft control process, we designed a normalized feedforward-feedbaek controller system. Furthermore, the hybrid optimization algorithm that combined the chaos optimization algorithm and the conjugate gradient method was used to search for the optimum parameters of the feedforwardfeedback controller system. Simulation experimental results and experimental analysis proved the superiority of the hybrid optimum feedforward-feedbaek controller, which showed better dynamleal and steady behavior, strengthened the fitness and robustness of the system, and weakened the blindness to selection of learning factors and high dependency on experience.