摘要
针对液压系统普遍存在严重非线性和不确定因素,难以建立精确数学模型实现满意控制效果的现实,提出一种采用模糊逆模预测补偿与常规PI控制器相结合的控制策略。用快速模糊聚类算法根据系统的输入输出数据关系进行建模,用常规控制器结合逆模预测补偿环节来进行控制。为了提升控制品质,利用当前数据对已建立的模糊模型进行在线学习调整。实验结果表明了该控制方案的可行性和有效性。
Since hydraulic elements contain nonlinearities and uncertainties factors, it is difficult to build an accurate mathematical model to meet the desired performance. A new control method by combining fuzzy modeling and inverse predictable compensation with PI controller was proposed to solve this problem. Fuzzy model was built with fast fuzzy clustering, taking into account the information provided by input-output samples. A new control mechanism was developed, which incorporated conventional controller with inverse predictable compensation. In order to improve the control effect, the fuzzy model was adjusted online by the learning method using current data. The experimental results show the control mechanism is feasible and effective.
出处
《机床与液压》
北大核心
2011年第5期40-43,共4页
Machine Tool & Hydraulics
关键词
电液伺服系统
模糊建模
逆模补偿
在线学习
Electro-hydraulic servo system
Fuzzy modeling
Inverse model compensation
Online learning
