Asynchronous update based networked predictive control system using a novel proactive compensation strategy |
| |
| Affiliation: | 1. Department of Electrical and Computer Engineering, University of Waterloo, Canada;2. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong;3. School of Electrical and Information Engineering, The University of Sydney, NSW 2006, Australia;1. College of Electrical and Information Engineering, Hunan University, Changsha, China;2. Power China Huadong Engineering Corporation Limited, Hangzhou, China;3. Robert Bosch GmbH, Abstatt, Germany;4. Institute of Energy Systems, Energy Efficiency and Energy Economics, TU Dortmund University, Dortmund, Germany;1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), Ministry of Education of China, Tianjin, 300072, China;2. State Grid Tianjin Electric Power Company, Tianjin, 300010, China;3. China Electric Power Research Institute, Beijing, 100192, China;1. School of Automation, Chongqing University, Chongqing 400044, China;2. School of Chemical Science & Engineering, KTH Royal Institute of Technology, Teknikringen 42, Stockholm SE-10044, Sweden;1. College of Information Science and Engineering, Northeastern University, Shenyang, 110004, PR China;2. State Key Laboratory of Synthetical Automation for Process Industries, Center of Intelligent Control, Northeastern University, Shenyang, PR China |
| |
| Abstract: | Networked predictive control system (NPCS) has been proposed to address random delays and data dropouts in networked control systems (NCSs). A remaining challenge of this approach is that the controller has uncertain information about the actual control inputs, which leads to the predicted control input errors. The main contribution of this paper is to develop an explicit mechanism running in the distributed network nodes asynchronously, which enables the controller node to keep informed of the states of the actuator node without a priori knowledge about the network. Based on this mechanism, a novel proactive compensation strategy is proposed to develop asynchronous update based networked predictive control system (AUBNPCS). The stability criterion of AUBNPCS is derived analytically. A simulation experiment based on Truetime demonstrates the effectiveness of the scheme. |
| |
| Keywords: | Networked control systems (NCSs) Networked predictive control Random time delay Data dropout Stability |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
