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LPV decoupling for multivariable control system design

机译:LPV解耦用于多变量控制系统设计

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The paper explores methods for decoupled linear parameter varying (LPV) control. The proposed approach seeks to benefit the multi-variable control of multi-input multi-output (MIMO) systems with variable operating conditions, variable parameters or nonlinear behavior. The method can improve the performance and reduce the variability of such MIMO systems with significant coupling in the system dynamics. We design MIMO decoupled feedback LPV controllers to address coupling effects. In particular, the method uses a parameter-dependent static inversion or SVD decomposition of the system to minimize the effects of the off-diagonal terms in the MIMO system transfer function matrix. The parameter-dependent decoupling matrices are selected along with the appropriate LPV controller design to guarantee the closed-loop performance specifications. A new parameter-dependent interaction measure is also introduced based on SVD decomposition and static inversion and is examined for the adaptive control design purposes to address the variability and coupling of the multivariable systems.
机译:本文探讨了解耦线性参数变化(LPV)控制的方法。所提出的方法试图受益于具有可变工作条件,可变参数或非线性行为的多输入多输出(MIMO)系统的多变量控制。该方法可以改善这种MIMO系统的性能并减小其在系统动力学上的显着耦合的可变性。我们设计了MIMO解耦反馈LPV控制器来解决耦合效应。特别地,该方法使用系统的依赖于参数的静态反演或SVD分解来最小化MIMO系统传递函数矩阵中的非对角项的影响。选择参数相关的解耦矩阵以及适当的LPV控制器设计,以确保达到闭环性能指标。还基于SVD分解和静态反演引入了一种新的依赖参数的交互措施,并针对自适应控制设计目的进行了研究,以解决多变量系统的可变性和耦合性。

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