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State space based adaptive control with pole restriction

机译:基于状态空间的极点约束自适应控制

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摘要

A state space based self-tuning controller is proposed that incorporates a closed loop pole restriction principle. The plant matrices, Kalman gain and the states are estimated using a bootstrap method. The state feedback control design is based upon a modified LQ infinite-time control that restricts the closed loop poles within a user-specified disk in the z-plane to meet the maximum overshoot and the maximum settling time specifications. The control design is called only when the estimated closed loop poles with the fixed existing control rule move out of the specified disk. This approach reduces the computational requirement significantly and also increases the stability robustness by providing a piecewise time-invariant control.
机译:提出了一种基于状态空间的自整定控制器,该控制器结合了闭环极点限制原理。使用自举方法估算植物矩阵,卡尔曼增益和状态。状态反馈控制设计基于改进的LQ无限时间控制,该控制将z平面中用户指定的磁盘内的闭环极点限制为满足最大过冲和最大建立时间规格。仅当具有固定现有控制规​​则的估计闭环极点移出指定磁盘时,才调用控制设计。通过提供分段时不变控制,该方法显着降低了计算需求,并且还提高了稳定性。

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