基于粒子群算法的H_∞混合灵敏度控制研究

针对步进电机存在负载摄动和失步超步问题,提出了一种基于粒子群优化算法的混合灵敏度设计方法。在H∞混合灵敏度约束下,采用粒子群算法寻找能够反映系统特性的适应度函数最优值,在搜索到合适的加权阵基础上,利用Matlab得到了H∞最优控制器,并利用优化控制器对步进电机进行控制仿真实验。实验结果表明：该系统具有响应快速平稳、抗负载扰动强等特点。

Research on Applications of Morphological Filtering in Geomagnetic Orientation

Considering the problems of load perturbation and the step control error,a robust controller adopting H∞ mixed sensitivity was designed.The design procedure of the control system could be expressed as a multi-objective optimization problem when the weighting functions were considered as design parameters and the optimal solution would satisfy a set of inequality constraints.A particle swarm optimization algorithm was adopted to solve this problem.Based on the suitable weighting matrices,an H∞ optimal controller is obtained by using the Matlab robust control toolbox.The results show that the systems has quick response and high anti-disturbance ability by the optimal controller.