摘要
所有实际的运动机构中都包含一定的非线性,对其进行精确的建模和控制是运动控制中具有挑战性的难题。文中提出了基于粒子群优化算法的RLS-PSO系统辨识建模方法,所得伺服转台模型具有良好拟合效果;对该模型提出改进的两步法,应用基于预测函数控制(Predictive functional control,PFC)的全局优化预测控制;伺服转台的仿真运行结果表明跟踪效果良好。
There are nonlinearities almost in all of the kinematic mechanisms. The accurate modeling and precise control are both challenging problems in the field of kinematic control. An approach to RLS-PSO parameter identification based on particle swarm optimization is approved, which gets a great model of servo turntable. The global optimization predictive controller based on predictive functional control (PFC) is applied to the servo turntable through modified two-step method. And the simulation results show the effectiveness of modeling method and control algorithm of the servo system.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2014年第1期165-169,共5页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(51177001)资助项目
安徽大学青年骨干教师(33010026)资助项目
安徽大学青年科研基金(02300305-33050047)资助项目