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亏损系统模态优化控制Riccati方程的求解方法
引用本文:陈宇东,陈塑寰,连华东.亏损系统模态优化控制Riccati方程的求解方法[J].力学学报,2001,33(5):714-720.
作者姓名:陈宇东  陈塑寰  连华东
作者单位:吉林大学力学系,
基金项目:国家自然科学基金资助项目(19872028)
摘    要:讨论亏损重复特征值的Riccati方程的模态控制算法.由于亏损特征值的Jordan块矩阵的阶数m小于状态方程的阶数n,即m<<n;所提出的模态控制算法可极大地减少计算工作量.其中的数值例子说明了该方法的有效性.

关 键 词:模态优化控制算法  Riccati方程  亏损系统  振动控制
修稿时间:2000年5月18日

MODAL OPTIMAL CONTROL ALGORITHM OF THE RICCATI EQUATIONS FOR DEFECTIVE SYSTEMS
Chen Yudong,Chen Suhuan,Lian Huadong.MODAL OPTIMAL CONTROL ALGORITHM OF THE RICCATI EQUATIONS FOR DEFECTIVE SYSTEMS[J].chinese journal of theoretical and applied mechanics,2001,33(5):714-720.
Authors:Chen Yudong  Chen Suhuan  Lian Huadong
Abstract:This study presents a modal optimal control algorithm for solving the Riccati equations in the generalized modal subspace corresponding to defective repeated eigenvalues. The discussions on vibration optimal control mainly involve the eigenvectors to span the eigenspace. However, in engineering problems, such as general damping systems, flutter analysis of aeroelasticcity, the sys- tem which is called defective system has not a set of complete eigenvectors to span the eigenspace. This paper focuses on the case of defective systems with repeated eigenvalues. By using modal transformation, the state control equation can be transferred into two sets of modal control equa- nons. The first is in the subspace corresponding to defective repeated eigenvalues. The second is in the subspace corresponding to distinct eigenvalues.The solution based on the modal control equations is simpler than that of the original stage control equations. The Potter's algorithm is extended to deal with the optimal control baized on the modal control equations corresponding to defective repeated eigenvalues. A numerical example is given to illustrate the application of the present procedure. The numerical results show that the present procedure is effective for dealing with the optimal control problem of defective systems.
Keywords:modal optimal control algorithm  Riccati equation  deffective systems  
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