基于Kp的LDU分解的多变量系统分数阶复合MRAC

Songsong Cheng, Yiheng Wei, Yanan Xiao, Yuquan Chen, Yong Wang
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引用次数: 1

摘要

利用高频增益Kp的LDU分解,研究了一类分数阶多变量系统的分数阶复合模型参考自适应控制方法。首先,该方法消除了与植物高频增益矩阵相关的严格对称性假设。利用分数阶跟踪微分器获取参数估计误差,构造分数阶参数更新规律,提高了跟踪性能,降低了控制成本。此外,利用间接李雅普诺夫方法,证明了闭环控制系统的收敛性和参数估计。最后,为了证明所提方法的有效性,给出了一个数值算例。
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A fractional order composite MRAC for multi variable systems based on LDU factorization of Kp
By utilizing LDU factorization of high frequency gain (HFG) Kp, a novel fractional order composite model reference adaptive control (MRAC) is investigated for a class of fractional order multi variable systems. Firstly, in the proposed method, the stringent symmetry assumption related with the plant high frequency gain matrix is removed. Besides, by means of fractional order tracking differentiator, the parameter estimation errors is obtained to construct the fractional order parameter updating laws, which can improve the tracking performance and reduce the control cost. In addition, by utilizing indirect Lyapunov approach, the convergence of closed-loop control systems and parameters estimation are proved. Finally, for the purpose of showing the effectiveness of the proposed method, a numerical example are developed.
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