摘要
针对交流位置伺服系统在较大负载转动惯量时影响系统控制性能的问题,提出了一种并行组合控制策略。设计了位置环滑模变结构控制器和RBF神经网络PID控制器的并行组合结构,滑模控制抑制系统参数变化和负载扰动,RBF神经网络PID控制可对传统PID控制器的比例、积分、微分系数进行在线整定,实现了系统的调整控制。仿真结果表明,所提出的并行组合控制策略能够保证系统的控制性能。
Aiming at the problem of AC position servo system at a larger moment of inertia of the load im- pact system performance, parallel combination control strategy is presented. Sliding mode controller and RBF neural network PID controller of position loop are designed. The sliding mode control can restrain effects of parameter uncertainties and external disturbance and the online parameter adjustments of the pro- portion, integral and differential of the conventional PID controller were realized by the RBF neural network PID, achieving the adjustment control of the system. Simulation results show that the designed parallel com- bination controller can guarantee control performances of system.
出处
《组合机床与自动化加工技术》
北大核心
2014年第2期87-89,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
高等学校博士学科点专项科研基金支持(200802880002)
