|
|
论文:2014,Vol:32,Issue(3):394-399 |
|
|
引用本文： |
|
|
雷金莉, 窦满峰. 基于RBF网络补偿的近空间用BLDCM自适应模糊控制[J]. 西北工业大学 |
|
|
Lei Jinli, Dou Manfeng. Adaptive Fuzzy Control for BLDCM in Near Space Based on RBF Neural Network Compensation[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 基于RBF网络补偿的近空间用BLDCM自适应模糊控制 |
|
| 雷金莉1,2, 窦满峰2 |
|
1. 宝鸡文理学院 电子电气工程系, 陕西 宝鸡 721007;
2. 西北工业大学 自动化学院, 陕西 西安 710072 |
| 摘要: |
| 近空间用无刷直流电机(BLDCM)受环境参数影响出现不确定性参数摄动和负载扰动,系统的控制性能降低。为消除不确定性因素的影响,提出了一种基于RBF网络补偿的自适应模糊控制算法。该控制算法是在自适应模糊控制的基础上,引入RBF网络补偿控制器,对参数摄动和负载转矩突变引起的转速误差进行在线辨识和动态补偿,以达到快速鲁棒自适应控制目的。对比具有RBF网络补偿的自适应模糊控制和自适应模糊控制的模拟仿真实验结果表明:在转速变化、负载转矩突变和转动惯量改变条件下,有RBF网络补偿控制的响应时间缩短了10 ms以上,响应过程中,电磁转矩的瞬时峰值减少了20%左右,对近空间BLDCM系统的不确定性鲁棒性强。 |
| 关键词:
近空间
无刷直流电机
径向基神经网络
自适应控制
模糊控制
控制系统稳定性
|
|
| Adaptive Fuzzy Control for BLDCM in Near Space Based on RBF Neural Network Compensation |
|
| Lei Jinli1,2, Dou Manfeng2 |
|
1. Department of Electronics & Electric Engineering, Baoji University of Arts & Science, Baoji 721007, China;
2. Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| Because of the environmental parameters transformation, the parameters perturbation and load torque disturbances of the brushless direct current motor (BLDCM) in near space will appear, and the response speed and stability of control system will be bad. To solve this problem, we propose an adaptive fuzzy control algorithm based on RBF(radial basis function) neural network compensation. The adaptive fuzzy controller is deduced to ensure the BLDCM system has good dynamic performance, the RBF neural network is adopted to do online identification and compensate for the speed error when the parameters perturbation and load torque disturbance appear in order to a-chieve the purposes of fast response speed and good robustness. Comparing the simulation results of adaptive fuzzy control with those of RBF neural network compensation and adaptive fuzzy control, we show preliminarily that:(1) the adaptive fuzzy control Based on RBF neural network has a strong robustness against the uncertainties of the BLDCM;(2) its response time is shorten by adaptive fuzzy control over 10ms;(3) its peak electromagnetic torque is decreased about 20% during the response process. |
| Key words:
near space
brushless DC motor
radial basis function networks
adaptive control
fuzzy control
control system stability
|
|
| 收稿日期: 2013-10-22
修回日期:
|
| DOI: |
| 基金项目: 国家自然科学基金面上项目(90716026)资助 |
| 通讯作者:
Email： |
| 作者简介: 雷金莉(1979-),女,宝鸡文理学院讲师、博士,主要从事无刷直流电机智能控制技术研究。
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] 罗玲, 刘卫国, 窦满峰, 杨旭东. 高空飞艇螺旋桨驱动电机分析[J]. 宇航学报, 2009, 30 (6): 2140-2144 Luo Ling, Liu Weiguo, Dou Manfeng, Yang Xudong. Analysis of the Motor Driving a Propeller of High Altitude Airship[J]. Journal of Astronautics, 2009, 30(6): 2140-2144 (in Chinese)
[2] Schmidt D K. Dynamic Modeling of Control and Station-Keeping Guidance of a Large High Altitude near Space Air-Ship[R]. AIAA Guidance, Navigation, and Control Conference and Exhibit, AIAA-2006-6781
[3] Bricstrol E H. On a New Measure of Interaction for Multivariable Process Control[J]. IEEE Trans on Autom Control, 1966, 30 (1): 133-134
[4] 纪志成, 沈艳霞, 薛花. 无刷直流电机自适应模糊控制的研究[J]. 中国电机工程学报, 2005, 25(5): 104-109 Ji Zhicheng, Shen Yanxia, Xue Hua. Study on the Adaptive Fuzzy Control for Brushless DC Motor[J]. Proceedings of the CSEE, 2005, 25(5): 104-109 (in Chinese)
[5] Awadallah M A, Morcos M M. Switch Fault Diagnosis of PM Brushless DC Motor Drive Using Adaptive Fuzzy Techniques[J]. IEEE Trans on Energy Conversion, 2004, 19(1): 226-227
[6] Wai Rongjong, Su Kuoho, Tu Chunyen. Implementation of Adaptive Enhanced Fuzzy Sliding-Mode Control for Indirect Field-Oriented Induction Motor Drive[C]//FUZZ'03: Fuzzy Systems, Missouri, USA, 2003
[7] Mir S, Islam M S, Sebastian T, et al. Fault-Tolerant Switched Reluctance Motor Drive Using Adaptive Fuzzy Logic Controller [J]. IEEE Trans on Power Electronics, 2004, 19(2): 289-295
[8] 陈振锋, 钟彦儒. 嵌入式永磁同步电机自适应在线参数辨识[J]. 电机与控制学报, 2010, 14(4): 9-13 Chen Zhenfeng, Zhong Yanru. Online Adaptive Parameter Identification for Interior Permanent Magnet Synchronous Motor Drive [J]. Electric Machines and Control, 2010, 14(4): 9-13 (in Chinese)
[9] Jie Xiu, Shiyu Wang, Yan Xiu. Fuzzy Adaptive Single Neuron NN Control of Brushless DC Motor[J]. Neural Comput & Applic, 2013, 22: 607-613
[10] Ganesh C, Patnaik S K. Artificial Neural Network Based Proportional Plus Integral Plus Derivative Controller for a Brushless DC Position Control System[J]. Journal of Vibration and Control, 2012, 18(14): 2164-2175
[11] 夏长亮, 文德, 范娟, 等. 基于 RBF 神经网络的无刷直流电机无位置传感器控制[J]. 电工技术学报, 2002, 17(3): 26-29 Xia Changliang, Wen De, Fan Juan, et al. Based on RBF Neural Network Position Sensorless Control for Brushless DC Motors [J]. Transactions of China Electrotechnical Society, 2002, 17(3): 26-29 (in Chinese)
[12] 孙宜标, 郭庆鼎. 基于 RBF 神经网络补偿的直线伺服系统滑模鲁棒跟踪 控制[J]. 控制理论与应用, 2004, 21 (2):252-256 Sun Yibiao, Guo Qingding. Sliding Mode Robust Tracking Control for Linear Servo System Based on RBF Neural Networks Compensation[J]. Control Theory and Applications, 2004, 21 (2): 252-256 (in Chinese)
[13] 文定都. 基于 RBF 神经网络辨识的无刷直流电动机控制实验研究[J]. 微电机, 2008, 41 (10): 94-97 Wen Dingdu. Research on Control of Brushless DC Motors Based on RBF Neural Network Identification[J]. Micromotors,2008, 41 (10): 94-97 (in Chinese)
[14] 夏长亮, 王娟, 史婷娜, 等. 基于自适应径向基函数神经网络的无刷直流电机直接电流控制[J]. 中国电机工程学报,2003, 23(6): 123-127 Xia Changliang, Wang Juan, Shi Tingna, et al. Direct Control of Currents Based on Adaptive RBF Neural Network for Brushless DC Motors[J]. Proceedings of the CSEE, 2003, 23(6): 123-127 (in Chinese)
[15] Wang L X. Fuzzy System Are Universal Approximators[C]//IEEE International Conf on Fuzzy System, San Diego, 1992:1163-1170 |
|
|
|
|
|
|
|
