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Fuzzy almost disturbance decoupling for MIMO nonlinear uncertain systems based on high-gain observer

机译:基于高增益观测器的MIMO非线性不确定系统的模糊几乎扰动解耦

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摘要

The problem of disturbance decoupling with internal stability is investigated for a class of multi-input-multi-output (MIMO) nonlinear systems in strict-feedback form. The considered nonlinear system contains unknown nonlinear uncertainties and unmeasured states. Fuzzy logic systems are first utilized to approximate the unknown nonlinear uncertainties, and then a high-gain state observer is established to estimate the unmeasured states. Based on the backstepping design approach and combining with dynamic surface control (DSC) technique, a new fuzzy adaptive output feedback control scheme is constructed. It is proved that the proposed control scheme can not only achieve internal stability of the closed-loop system, but also diminish the effect of the disturbance on output in the sense of L_2 gain. In addition, since DSC is introduced into the backstepping design, the proposed control scheme can overcome the problem of "explosion of complexity" inherent in the traditional backstepping design. Simulation results and comparisons with the previous methods are included to indicate that the proposed adaptive fuzzy control approach has a satisfactory control performance.
机译:针对严格反馈形式的一类多输入多输出(MIMO)非线性系统,研究了具有内部稳定性的干扰解耦问题。所考虑的非线性系统包含未知的非线性不确定性和不可测状态。首先利用模糊逻辑系统来近似未知的非线性不确定性,然后建立一个高增益状态观测器来估计未测状态。基于反推设计方法,结合动态表面控制技术,构造了一种新的模糊自适应输出反馈控制方案。实践证明,所提出的控制方案不仅可以达到闭环系统的内部稳定性,而且可以从L_2增益的角度减小扰动对输出的影响。另外,由于将DSC引入到Backstepping设计中,因此所提出的控制方案可以克服传统Backstepping设计中固有的“复杂性爆炸”问题。仿真结果和与以前方法的比较表明所提出的自适应模糊控制方法具有令人满意的控制性能。

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