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Closed-form solutions for linear regulator design of mechanical systems including optimal weighting matrix selection

机译:机械系统线性调节器设计的封闭式解决方案,包括最佳加权矩阵选择

摘要

Vibration in modern structural and mechanical systems can be reduced in amplitude by increasing stiffness, redistributing stiffness and mass, and/or adding damping if design techniques are available to do so. Linear Quadratic Regulator (LQR) theory in modern multivariable control design, attacks the general dissipative elastic system design problem in a global formulation. The optimal design, however, allows electronic connections and phase relations which are not physically practical or possible in passive structural-mechanical devices. The restriction of LQR solutions (to the Algebraic Riccati Equation) to design spaces which can be implemented as passive structural members and/or dampers is addressed. A general closed-form solution to the optimal free-decay control problem is presented which is tailored for structural-mechanical system. The solution includes, as subsets, special cases such as the Rayleigh Dissipation Function and total energy. Weighting matrix selection is a constrained choice among several parameters to obtain desired physical relationships. The closed-form solution is also applicable to active control design for systems where perfect, collocated actuator-sensor pairs exist.
机译:可以通过增加刚度,重新分配刚度和质量和/或在设计技术可用的情况下增加阻尼来减小现代结构和机械系统中的振动。现代多变量控制设计中的线性二次调节器(LQR)理论以全局公式解决了一般的耗散弹性系统设计问题。然而,最佳设计允许在无源结构机械装置中物理上不可行或不可能的电子连接和相位关系。解决了LQR解(代数Riccati方程)对设计为可实现为被动结构构件和/或阻尼器的空间的限制。提出了一种针对最优自由衰减控制问题的通用闭式解法,该解法是针对结构-机械系统量身定制的。该解决方案包括一些特殊情况,例如子集瑞利耗散函数和总能量。加权矩阵选择是在几个参数中的受限选择,以获得所需的物理关系。封闭形式的解决方案也适用于主动控制设计,适用于存在完美,并置的执行器/传感器对的系统。

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