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Adaptive Fuzzy Control of Nonlinear Systems with Unknown Dead Zones Based on Command Filtering
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2018-02-01 , DOI: 10.1109/tfuzz.2016.2634162
Jinpeng Yu , Peng Shi , Wenjie Dong , Chong Lin

Adaptive fuzzy control via command filtering is proposed for uncertain strict-feedback nonlinear systems with unknown nonsymmetric dead-zone input signals in this paper. The command filtering is utilized to cope with the inherent explosion of the complexity problem of the classical backstepping method, and the error compensation mechanism is introduced to overcome the drawback of the dynamics surface approach. In addition, by utilizing the bound information of dead-zone slopes, a new adaptive fuzzy method that does not need to establish the inverse of the dead zone is presented for the unknown nonlinear systems. Compared with existing results, the advantages of the developed scheme are that the compensating signals are designed to eliminate the filtering errors and only one adaptive parameter is required, which will make the proposed control scheme more effective for practical systems. An example of position tracking control for the electromechanical system is given to demonstrate the usefulness and potential of the new design scheme.

中文翻译:

基于命令滤波的未知死区非线性系统自适应模糊控制

针对具有未知非对称死区输入信号的不确定严格反馈非线性系统,提出了基于命令滤波的自适应模糊控制。利用命令过滤来应对经典反推方法复杂性问题的固有爆炸性,并引入误差补偿机制来克服动力学曲面方法的缺点。此外,利用死区斜率的边界信息,针对未知非线性系统,提出了一种无需建立死区倒数的自适应模糊新方法。与现有结果相比,所开发方案的优点是补偿信号的设计消除了滤波误差,并且只需要一个自适应参数,这将使所提出的控制方案对实际系统更有效。给出了机电系统位置跟踪控制的一个例子,以证明新设计方案的实用性和潜力。
更新日期:2018-02-01
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