| 基于RBF神经网络整定PID的PMLSM控制研究 |
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| 引用本文： | 曹文霞,汪永华,钱多德. 基于RBF神经网络整定PID的PMLSM控制研究[J]. 安徽农业大学学报, 2012, 39(1): 154-158 |
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| 作者姓名： | 曹文霞 汪永华 钱多德 |
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| 作者单位： | 安徽水利水电职业技术学院机械工程系,合肥,231603;安徽江淮汽车股份有限公司技术中心,合肥,230601 |
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| 基金项目： | 农业部948项目（2012-S19）和安徽省茶叶产业技术体系项目共同资助。 |
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| 摘 要： | 介绍了直线永磁同步电机(permanent magnet linear synchronous motor,PMLSM)的数学模型。由于直线永磁同步电机具有非线性、耦合性和负载扰动等特性,常规PID控制器不能达到理想的控制效果,而径向基函数(radial basis function,RBF)神经网络具有学习速度快、无局部极小和良好的逼近能力,提出了将RBF网络与增量式PID控制结合在一起应用的方法。matlab仿真结果表明:该控制系统具有良好的逼近能力、较强的适应性和抗干扰能力。
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| 关 键 词： | 直线永磁同步电机 RBF神经网络 PID控制 matlab仿真 |
RBF neural network- based setting PID in controlling PMLSM |
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| CAO Wen-xi,WANG Yong-hua and QIAN Duo-de. RBF neural network- based setting PID in controlling PMLSM[J]. Journal of Anhui Agricultural University, 2012, 39(1): 154-158 |
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| Authors: | CAO Wen-xi WANG Yong-hua QIAN Duo-de |
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| Affiliation: | 1.Department of Mechanical Engineering,Anhui Technical College of Water Resources and Hydroelectric Power,Hefei 231603; 2.R&D center,Anhui Jianghuai Automobile Co.,Ltd,Hefei 230601) |
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| Abstract: | In this paper,a math model of permanent magnet linear synchronous motor(PMLSM) was intro-duced,Because PMLSM has characteristics of nonlinear,coupling and load disturbance,common PID controller can’t reach an ideal control effect,while radial basis function(RBF) neural network has the ability of studying quickly,without local minimums,and better approaching,so the RBF was combined with PID in controlling PMLSM.Matlab simulation results demonstrated that the control system has better approaching ability,better ad-aptation and preventing disturbance ability. |
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| Keywords: | PMLSM RBF neural network PID control matlab simulation |
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