Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning ...Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.展开更多
This paper proposes a new approach for multi-objective robust control. The approach extends the standard generalized l2 (Gl2) and generalized H2(GHz) conditions to a set of new linear matrix inequality (LMI) constrain...This paper proposes a new approach for multi-objective robust control. The approach extends the standard generalized l2 (Gl2) and generalized H2(GHz) conditions to a set of new linear matrix inequality (LMI) constraints based on a new stability condition. A technique for variable parameterization is introduced to the multi-objective control problem to preserve the linearity of the synthesis variables. Consequently, the multi-channel multi-objective mixed Gl2/GH2 control problem can be solved less conservatively using computationally tractable algorithms developed in the paper.展开更多
The full-bridge converters usually use transformer leakage inductance and parallel resonant capacitors to achieve smooth current commutation and soft switching functions,which can easily cause problems such as energy ...The full-bridge converters usually use transformer leakage inductance and parallel resonant capacitors to achieve smooth current commutation and soft switching functions,which can easily cause problems such as energy leakage and significant duty cycle loss.This paper designs a novel full-bridge zero-current(FB-ZCS)converter with series resonant capacitors and proposes a frequency and phase-shift synthesis modulation(FPSSM)control strategy based on this topology.Compared with the traditional parallel resonant capacitor circuit,the passive components used are significantly reduced,the structure is simple,and there is only a slight energy loss.By controlling the charging time of the capacitor,it can be achieved without additional switches or auxiliary circuits.The automatic control of capacitor energy based on input current addresses the low efficiency of the traditional control strategies.This paper introduces its principle in detail and verifies it through simulation.Finally,an experimental prototype was built further to demonstrate the feasibility of the theory through experiments.The module can be applied to a photovoltaic DC collection system using input parallel output series(IPOS)cascade to provide a new topology for large-scale,long-distance DC transmission.展开更多
为了提高开关电源变换器的建模精度和控制性能,提出了一种状态切换离散时间模型(State Switching Discrete time Model,SSDM).该模型在建模时考虑的是每个开关周期内的状态,而不是变换器的平均状态,故在高频下其精度比传统的状态平均模...为了提高开关电源变换器的建模精度和控制性能,提出了一种状态切换离散时间模型(State Switching Discrete time Model,SSDM).该模型在建模时考虑的是每个开关周期内的状态,而不是变换器的平均状态,故在高频下其精度比传统的状态平均模型更高.基于开关持续时间的全微分方程,精确计算一个周期内的电感电流和输出电压,从而推导出SSDM.此外,通过SSDM推导出极限电压响应(Limiting Voltage Response,LVR)控制策略.该策略通过电压预测计算出合适的占空比,以在最小开关周期内将输出电压调节为参考值.通过这种策略,变换器不仅实现了非常快的负载/线路瞬态响应和参考跟踪速度,而且在偏差电感下表现出很高的稳定性.最后,通过频率响应分析和实验验证了SSDM的准确性和系统的稳定性.实验结果表明,在不同工况下,LVR控制策略下的输出电压瞬态响应时间相比传统控制策略下的输出电压瞬态响应时间缩短了70%以上;当电感值偏离23%时,在LVR控制策略下的输出电压仍然保持稳定.展开更多
基金supported by the National Natural Science Foundation of China(U21A20166)in part by the Science and Technology Development Foundation of Jilin Province (20230508095RC)+1 种基金in part by the Development and Reform Commission Foundation of Jilin Province (2023C034-3)in part by the Exploration Foundation of State Key Laboratory of Automotive Simulation and Control。
文摘Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.
基金Project supported by the National Natural Science Foundation of
China (No. 60374028) and the Scientific Research Foundation for
Returned Overseas Chinese Scholars Ministry of Education (No.
[2004]176)
文摘This paper proposes a new approach for multi-objective robust control. The approach extends the standard generalized l2 (Gl2) and generalized H2(GHz) conditions to a set of new linear matrix inequality (LMI) constraints based on a new stability condition. A technique for variable parameterization is introduced to the multi-objective control problem to preserve the linearity of the synthesis variables. Consequently, the multi-channel multi-objective mixed Gl2/GH2 control problem can be solved less conservatively using computationally tractable algorithms developed in the paper.
基金This work was supported by the Key R&D Program of Tianjin(No.20YFYSGX00060).
文摘The full-bridge converters usually use transformer leakage inductance and parallel resonant capacitors to achieve smooth current commutation and soft switching functions,which can easily cause problems such as energy leakage and significant duty cycle loss.This paper designs a novel full-bridge zero-current(FB-ZCS)converter with series resonant capacitors and proposes a frequency and phase-shift synthesis modulation(FPSSM)control strategy based on this topology.Compared with the traditional parallel resonant capacitor circuit,the passive components used are significantly reduced,the structure is simple,and there is only a slight energy loss.By controlling the charging time of the capacitor,it can be achieved without additional switches or auxiliary circuits.The automatic control of capacitor energy based on input current addresses the low efficiency of the traditional control strategies.This paper introduces its principle in detail and verifies it through simulation.Finally,an experimental prototype was built further to demonstrate the feasibility of the theory through experiments.The module can be applied to a photovoltaic DC collection system using input parallel output series(IPOS)cascade to provide a new topology for large-scale,long-distance DC transmission.
文摘为了提高开关电源变换器的建模精度和控制性能,提出了一种状态切换离散时间模型(State Switching Discrete time Model,SSDM).该模型在建模时考虑的是每个开关周期内的状态,而不是变换器的平均状态,故在高频下其精度比传统的状态平均模型更高.基于开关持续时间的全微分方程,精确计算一个周期内的电感电流和输出电压,从而推导出SSDM.此外,通过SSDM推导出极限电压响应(Limiting Voltage Response,LVR)控制策略.该策略通过电压预测计算出合适的占空比,以在最小开关周期内将输出电压调节为参考值.通过这种策略,变换器不仅实现了非常快的负载/线路瞬态响应和参考跟踪速度,而且在偏差电感下表现出很高的稳定性.最后,通过频率响应分析和实验验证了SSDM的准确性和系统的稳定性.实验结果表明,在不同工况下,LVR控制策略下的输出电压瞬态响应时间相比传统控制策略下的输出电压瞬态响应时间缩短了70%以上;当电感值偏离23%时,在LVR控制策略下的输出电压仍然保持稳定.
