摘要
文中对非线性系统的渐近稳定性问题进行了研究。量化器的编码器和解码器参数会出现不匹配的情况,且不匹配的量化参数进一步增加了控制器设计的复杂性和难度。通过建立量化参数的时变比例模型,结合基于观测器技术和滑模控制技术,设计出自适应滑膜控制的方法。该方法充分消除了不匹配量化参数、非线性和外部干扰的影响,实现了闭环系统的渐近稳定性并将系统的状态轨迹驱动到滑模面上。最后,运用仿真实验验证了控制策略的有效性。
This study aims to investigate the asymptotic stability problem of nonlinear systems.The encoder and decoder parameters of the quantizer may be mismatched,and the unmatched quantization parameters may further increase the complexity and difficulty of the controller design.In this paper,an adaptive sliding film control method is designed by establishing a time-varying proportional model of quantitative parameters,combining observer-based techniques and sliding mode control techniques.The proposed method completely eliminates the influence of mismatched quantization parameters,nonlinearity and external disturbance,and realizes the asymptotic stability of the closed-loop system and drives the state trajectory of systems to the sliding mode surface.Finally,the effectiveness of the control strategy is verified by simulation experiments.
作者
张乐乐
苏前敏
ZHANG Lele;SU Qianmin(College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《电子科技》
2020年第12期38-43,共6页
Electronic Science and Technology
基金
上海市2017年度“科技创新行动计划”(17401970900)。
关键词
渐近稳定性
非线性系统
不匹配量化参数
观测器
滑模控制
滑模面
asymptotic stability
nonlinear systems
mismatched quantization parameters
observer
sliding mode control
sliding mode surface
