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Sliding Mode Control for Uncertain Discrete-Time Systems Using an Adaptive Reaching Law

机译:使用自适应达到法律的不确定离散系统的滑模控制

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摘要

This brief presents the design, analysis, and validation of a new adaptive reaching law and the corresponding sliding mode controller, which are dedicated to robust control of disturbed discrete-time systems with parameter uncertainties. In state-of-the-art discrete-time reaching law schemes, a priori boundedness assumption on the generalized uncertainty, consisting of the parameter uncertainties and the external disturbances, is required to guarantee the boundedness of the controlled system. However, a priori bounded generalized uncertainty imposes a priori boundedness assumption on the system state before designing the controller. Different from existing similar works, an adaptive law is integrated into the proposed reaching law to estimate the unknown system parameters and external disturbances in Lyapunov sense, which ensures robust control of uncertain discrete-time systems without requiring a priori bounded system state. The controlled system stability in the presence of parameter uncertainties and external disturbances is analyzed in theory. The feasibility of the reported method is verified and compared by conducting simulation studies.
机译:本简要介绍了新的自适应达到法和相应的滑模控制器的设计,分析和验证,该控制器专用于具有参数不确定性的受干扰的离散时间系统的鲁棒控制。在最先进的离散时间到达法律方案中,需要对广义不确定性的先验限制,包括参数不确定性和外部干扰,以保证受控系统的界限。然而,在设计控制器之前,先验的界限广义不确定性在系统状态上施加了先验的定义假设。与现有类似的作品不同,自适应法则纳入建议的达成法,以估算Lyapunov Sense中未知的系统参数和外部干扰,这确保了不确定的离散时间系统的鲁棒控制而不需要先验的系统状态。在理论上分析了参数不确定性和外部干扰存在下的受控系统稳定性。通过进行仿真研究,验证了报告方法的可行性。

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