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-bas...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.展开更多
This article addresses the finite-time boundedness(FTB)problem for nonlinear descriptor systems.Firstly,the nonlinear descriptor system is represented by the Takagi-Sugeno(T-S)model,where fuzzy representation is assum...This article addresses the finite-time boundedness(FTB)problem for nonlinear descriptor systems.Firstly,the nonlinear descriptor system is represented by the Takagi-Sugeno(T-S)model,where fuzzy representation is assumed to be appearing not only in both the state and input matrices but also in the derivative matrix.By using a descriptor redundancy approach,the fuzzy representation in the derivative matrix is reformulated into a linear one.Then,we introduce a fuzzy sliding mode control(FSMC)law,which ensures the finite-time boundedness(FTB)of closed-loop fuzzy control systems over the reaching phase and sliding motion phase.Moreover,by further employing the descriptor redundancy representation,the sufficient condition for designing FSMC law,which ensures the FTB of the closed-loop control systems over the entire finite-time interval,is derived in terms of linear matrix inequalities(LMIs).Finally,a simulation study with control of a photovoltaic(PV)nonlinear system is given to show the effectiveness of the proposed method.展开更多
将自适应遗传算法(A daptive G enetic A lgorithm简称AGA)搜寻最佳化的模糊滑模控制器(Fuzzy S lid ingM ode Con tro ller,简称FSM C)参数,应用于无刷直流电机系统。传统计算仿真的最佳控制器通常经手调才能应用于实际系统。本文用DS...将自适应遗传算法(A daptive G enetic A lgorithm简称AGA)搜寻最佳化的模糊滑模控制器(Fuzzy S lid ingM ode Con tro ller,简称FSM C)参数,应用于无刷直流电机系统。传统计算仿真的最佳控制器通常经手调才能应用于实际系统。本文用DSP建立计算机与无刷直流电机之间的数据传输机构,根据实际响应进行控制器的设计,并讨论其性能。展开更多
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)+6 种基金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 BUUthe 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)
文摘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This work was supported in part by the Central Government Drects Special Funds for Scientific and Technological Development of China(2019L3009)Natural Science Foundation of Fujian Province of China(2020J02045).
文摘This article addresses the finite-time boundedness(FTB)problem for nonlinear descriptor systems.Firstly,the nonlinear descriptor system is represented by the Takagi-Sugeno(T-S)model,where fuzzy representation is assumed to be appearing not only in both the state and input matrices but also in the derivative matrix.By using a descriptor redundancy approach,the fuzzy representation in the derivative matrix is reformulated into a linear one.Then,we introduce a fuzzy sliding mode control(FSMC)law,which ensures the finite-time boundedness(FTB)of closed-loop fuzzy control systems over the reaching phase and sliding motion phase.Moreover,by further employing the descriptor redundancy representation,the sufficient condition for designing FSMC law,which ensures the FTB of the closed-loop control systems over the entire finite-time interval,is derived in terms of linear matrix inequalities(LMIs).Finally,a simulation study with control of a photovoltaic(PV)nonlinear system is given to show the effectiveness of the proposed method.
文摘将自适应遗传算法(A daptive G enetic A lgorithm简称AGA)搜寻最佳化的模糊滑模控制器(Fuzzy S lid ingM ode Con tro ller,简称FSM C)参数,应用于无刷直流电机系统。传统计算仿真的最佳控制器通常经手调才能应用于实际系统。本文用DSP建立计算机与无刷直流电机之间的数据传输机构,根据实际响应进行控制器的设计,并讨论其性能。
