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当前位置: 首页 > 文章 > 异步电动机调速系统自适应辨识的CMAC-ADRC算法 农业机械学报 2015,46 (3) 358-365
Position: Home > Articles > CMAC-ADRC Algorithm Based on Adaptive Parameter Identification for Asynchronous Motor Speed Control System Transactions of the Chinese Society for Agricultural Machinery 2015,46 (3) 358-365

异步电动机调速系统自适应辨识的CMAC-ADRC算法

作  者：
李慧;刘星桥;李景
单  位：
淮阴工学院电子与电气工程学院;机械工业设施农业测控技术与装备重点实验室;江苏大学电气信息工程学院
关键词：
异步电动机;小脑模型神经网络;自抗扰控制;前馈控制;自适应辨识
摘  要：
针对异步电动机调速系统快速响应时启动超调量大的问题,提出了一种基于自适应参数辨识的小脑模型神经网络复合自抗扰控制(CMAC-ADRC)的控制算法。将CMAC与ADRC各自的优点相结合,利用CMAC神经网络实现前馈控制,通过在线学习来抑制系统的超调量,增强系统的鲁棒性能,提高系统的快速性能,利用ADRC技术实现反馈控制,进一步增强系统的抗干扰能力。利用参考模型自适应参数辨识技术对转动惯量进行辨识,优化自抗扰补偿系数。以变频器结合异步电动机为控制对象,进行仿真,基于自适应参数辨识的CMAC-ADRC控制算法的干扰响应幅度是一阶优化自抗扰控制下干扰响应幅度的44.57%,是小脑模型神经网络复合比例-微分(CMACPD)控制下干扰响应幅度的17.69%,干扰恢复时间是一阶优化自抗扰控制下干扰恢复时间的50%,是CMAC-PD控制下恢复时间的60%。搭建MCU-CPLD-DSP控制平台进行了实验,基于自适应参数辨识的CMAC-ADRC控制算法的超调量是一阶优化自抗扰控制的45.49%,上升时间是一阶优化自抗扰控制的53.33%,干扰响应幅度是一阶优化自抗扰控制干扰响应幅度的71%,干扰恢复时间是一阶优化自抗扰控制干扰恢复时间的76.47%。
译  名：
CMAC-ADRC Algorithm Based on Adaptive Parameter Identification for Asynchronous Motor Speed Control System
作  者：
Li Hui;Liu Xingqiao;Li Jing;School of Electronic and Information Engineering,Jiangsu University;Faculty of Electronic and Electrical Engineering,Huaiyin Institute of Technology;Key Laboratory of Machinery Industry Agriculture Measure and Control Technology and Equipment;
关键词：
Asynchronous motor CMAC network Active disturbance rejection control Feedforward;;control Adaptive identification
摘  要：
According to the problem of asynchronous motor speed control system,this paper proposes a cerebellar model aritculation controller coupled with active disturbance rejection controller( CMACADRC) control algorithms based on adaptive parameter identification. The respective advantages of CMAC and ADRC were combined. And CMAC neural network was used for feedforward control. Its online learning was applied which suppressed overshoot system,enhanced the robustness and dynamic performance of the system. ADRC was used for feedback control which further enhanced the anti-jamming capability. The inertia was identified by using model reference adaptive parameter identification technique and ADRC compensation factors were optimized. Taking converter and asynchronous motor as control objects,the simulation was carried out. The simulation results showed that the response amplitude caused by disturbance of control system using CMAC-ADRC based on adaptive identification was 44. 57% of the one using first-order optimization ADRC,and 17. 69% of the one using CMAC-PD. Meanwhile,therecovery time of disturbance was 50% of the one using first-order optimization ADRC,and 60% of the one using CMAC-PD. Some experiments were finished on the experiment platform based on MCU-CPLDDSP. The experiment result showed that with CMAC-ADRC, the overshoot, rising time, response amplitude caused by disturbance,and recovery time of disturbance were 45. 49%,53. 33%,71% and76. 47% of the one using first-order optimization ADRC,respectively.

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