| 伺服系统中PID控制器参数整定的研究 |
| |
| 引用本文： | 陈家俊,贺云波.伺服系统中PID控制器参数整定的研究[J].机床与液压,2021,49(1):13-16. |
| |
| 作者姓名： | 陈家俊 贺云波 |
| |
| 作者单位： | 广东工业大学省部共建精密电子制造技术与装备国家重点实验室 |
| |
| 基金项目： | 国家自然科学基金面上项目(51675106)；国家自然科学基金联合基金项目（U1601202)；广东省自然科学基金(2016A030308016；2015A030312008)；广东省R&D重点项目(2015B010133005；2015B010104006；2015B0101040088)；广东省重大研发专项（2018B090906002） |
| |
| 摘 要： | 针对伺服系统中常用的比例-积分-微分(PID)控制器的参数手动整定不方便的问题,对机器学习算法和模糊控制进行研究,重点分析反向传播(BP)算法和模糊控制器的设计方法,提出一种基于机器学习和模糊控制的PID参数整定方法。利用BP神经网络的学习能力得到系统模型,结合模糊控制进行预测得到PID参数,并在实验平台上进行验证。研究结果表明:通过机器学习和模糊控制得到的PID参数具有较好的控制效果,该方法能够避免手动整定PID参数,节省大量时间。
|
| 关 键 词： | 机器学习 模糊控制 BP算法 PID参数整定 |
Study on Parameter Tuning for PID Controller in Servo System |
| |
| CHEN Jiajun,HE Yunbo.Study on Parameter Tuning for PID Controller in Servo System[J].Machine Tool & Hydraulics,2021,49(1):13-16. |
| |
| Authors: | CHEN Jiajun HE Yunbo |
| |
| Affiliation: | (Key Laboratory of Precision Microelectronic Manufacturing Technology & Equipment of Ministry of Education,Guangdong University of Technology,Guangzhou Guangdong 510006,China) |
| |
| Abstract: | Aimed at the inconvenience of manual tuning parameters of PID controller commonly used in servo system, machine learning algorithm and fuzzy control were researched. The back propagation (BP) algorithm and design methods of fuzzy controller were emphatically analyzed. A PID parameter tuning method based on machine learning algorithm and fuzzy control was proposed. The learning ability of BP neural network was used to get the system model, and the PID parameters were predicted by combining with the fuzzy control, which were verified on the experimental platform. The results indicate that the PID parameters obtained by using machine learning and fuzzy control have better control effect. By using this method, it can avoid manual tuning of PID parameters and save a lot of time. |
| |
| Keywords: | Machine learning Fuzzy control BP algorithm PID parameters tuning |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《机床与液压》浏览原始摘要信息 |
|
点击此处可从《机床与液压》下载全文 |
|
