Intelligent Scheduling Controller Design for Networked Control Systems Based on Estimation of Distribution Algorithm |
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Authors: | Hongbo Li ÚÎ Zengqi Sun Badong Chen ì Huaping Liu |
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Institution: | aDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China |
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Abstract: | The use of communication networks in control loops has gained increasing attention in recent years due to its advantages and flexible applications. The network quality-of-service (QoS) in those so-called networked control systems always fluctuates due to changes of the traffic load and available network resources. This paper presents an intelligent scheduling controller design approach for a class of NCSs to handle network QoS variations. The sampling period and control parameters in the controller are simultane-ously scheduled to compensate for the network QoS variations. The estimation of distribution algorithm is used to optimize the sampling period and control parameters for better performance. Compared with exist-ing networked control methods, the controller has better ability to compensate for the network QoS varia-tions and to balance network loads. Simulation results show that the plant setting time with the intelligent scheduling controller is reduced by about 64.0% for the medium network load and 49.1% for high network load and demonstrate the effectiveness of the proposed approaches. |
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Keywords: | networked control systems (NCSs) estimation of distribution algorithm (EDA) network-induced delay packet dropout network quality-of-service (QoS) variation |
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