摘要
针对一次性整定的控制参数很难确保伺服控制系统始终处于最佳状态,探讨了伺服控制系统的模糊优化及其参数自整定.分析了参数调整的模糊性,研究了控制参数的整定原则及其自整定机理,基于动态特征提出了评价函数,讨论了奖惩函数与奖惩自学习算法,设计了参数自整定的伺服控制系统结构.系统仿真实验与实际工程运行结果显示,提出的算法可将系统精度稳定地控制在期望的范围内.工程应用效果表明,该方法控制精度高,鲁棒性强,可满足高精度伺服控制系统的工况需要.
Aimed at the puzzle that it is very difficult to ensure the servo-control system to be in the best state all the time by means of disposable tuning control parameters, the paper has explored the fuzzy opti- mization and its parameter auto-tuning of servo-control system. In the paper, it has analyzed the fuzzifica- tion of fuzzy parameter adjustment, researched on the tuning principle of control parameters and its auto- tuning mechanism, proposed the evaluation function based on the dynamic characteristic model, and de- signed the servo-control system structure of auto-tuning parameter. The system simulation and actual op- erating result of servo-control system has demonstrated that the proposed control algorithm could stably make the system control precision within the expected range. The effect of engineering application shows that the proposed method has high control accuracy and strong robustness, and therefore it can meet the demand of high precision servo-system control.
出处
《西南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第6期78-83,共6页
Journal of Southwest China Normal University(Natural Science Edition)
基金
重庆市教委支持项目(2012-09-3-314)
关键词
伺服控制系统
模糊PID控制器
模糊优化
控制参数自整定
servo-control system； fuzzy PID controller； fuzzy optimization； control parameter auto-tuning
