Single Neuron PID Controller Based on Adaptive Smith Predictor for Networked Control Systems

摘要：

For networked control systems (NCS), the networkinduced time delay with uncertain nature may degrade the control performance and even destabilize the system. Therefore, it is necessary to study the strategies to compensate time delay. In order to effectively restrain the impact of network time delay, a single neuron PID controller combined with adaptive Smith predictor is proposed to achieve better compensation effect in the paper. The traditional Smith predictor is sensitive to parameter uncertainties, leading to compensation failure when the time delay is stochastic. Single neuron PID controller is adopted to improve the adaptability and the robustness of system with the ability of self-learning and the simple structure. New adaptive Smith predictor can ensure the model error converge to zero. Besides, it does not include the delay model, thus the network time delay does not need to be measured or estimated. Simulation results are given to illustrate the effectiveness and the robustness of the proposed method.

关键词： networked control systems time delay single neuron PID controller adaptive Smith predictor

作者: Xian Zhang Liman Yang Yunhua Li

作者单位: School of Automation Science and Electrical EngineeringBeihang UniversityBeijing, P. R. China School of Automation Science and Electrical Engineering Beihang University Beijing, P. R. China

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 1136-1141

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）