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| A Novel Current Tracking Control Method Based on Delay Compensation |
| Wu Jingbing1, 2, Luo An1, Yang Xiaofeng3, Fang Lu1, Ma Fujun1, Xu Xianyong4, Yang Cuicui1 |
| 1. Hunan University Changsha 410082 China2. Fuzhou Electric Power Industry Bureau Fuzhou 350009 China3. Baoji Electricity Supplying Subsidiary of Shanxi Regional Electric Power Group Co. Ltd.Baoji 721001 China 4. Hunan Electric Power Corporation Research Institute Changsha 410007 China |
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Abstract This paper proposes a novel current tracking control scheme, which is based on π compensation Smith predictor and neural network with a modified weight algorithm. The introduction of π compensation Smith predictor has some advantages, such as effectively eliminating system delay, improving system stability and response speed. The neural network is used for optimizing PI controller parameters and then improving control system precision. Meanwhile, obtaining the relation of π compensation Smith predictor parameters and PI controller parameters by ITAE criterion(Integrated Time Absolute Error criterion), which can be utilized to get parameters estimation of two controllers, that avoids the case of separately identifying two controller parameters, and reduces the sensitive dependence on the grid parameters of two controllers. When the loads change, the best parameters of controller can be obtained by improved weights algorithm of neural network. Simulation and experimental results verify the effectiveness of proposed method.
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Received: 25 October 2009
Published: 20 March 2014
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2012, Vol. 27 
