摘要
Tracking control is a very challenging problem in the networked control system(NCS), especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system(NTCS). The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling(FCM)technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller(FSMC) to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.
Tracking control is a very challenging problem in the networked control system(NCS), especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system(NTCS). The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling(FCM)technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller(FSMC) to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.
基金
supported by the National Natural Science Foundation of China(51205025,51775048,61602041)
the Science and Technology Program of Beijing Municipal Education Commission(KM201611417009,KM201811417001)
the Premium Funding Project(BPHR2017CZ08)for Academic Human Resources Development in Beijing Union University(BUU)
the Beijing Natural Science FoundationBeijing Municipal Education Commission Joint Fund(KZ201811417048)
the Project of 2018-2019 Basic Research Fund of BUU
the Beijing Advanced Innovation Center for Intelligent Robots and Systems Open Fund(2018I RS17)
the 2016 Beijing High Level Personnel Cross Training Program “Practical Training Plan”
the Project of Beijing Municipal Natural Science Foundation(4142018)
the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions(CIT&TCD20150314)
