Design of an Estimator-Based Predictive Functional Control for Ramp Disturbance Suppression
Design of an Estimator-Based Predictive Functional Control for Ramp Disturbance Suppression
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DOI：
10.1299/kikaic.79.4890
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
T. Satoh;Hiroki Hara;J. Nagase;N. Saito;N. Saga
中科院分区：
文献类型：
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作者：
T. Satoh;Hiroki Hara;J. Nagase;N. Saito;N. Saga
提出了一种基于状态估计器的预测函数控制斜坡扰动抑制方法。在既包含对象状态又包含扰动状态的增广系统的基础上，建立了增广模型的预测型估计器，该估计器既估计斜坡扰动又估计对象状态。状态估计器使我们能够计算最优的控制输入序列中存在的斜坡干扰。此外，分析所提出的PFC系统的结构和控制器的极点，我们证明了基于估计器的PFC系统实际上有两个积分行动。最后，通过数值仿真验证了该方法的有效性.
We propose a state estimator-based ramp disturbance suppression technique for the predictive functional control (PFC). On the basis of the augmented system including both the plant and disturbance states, we build a predictiontype estimator for the augmented model which estimates the ramp disturbance as well as the plant states. The state estimator enables us to compute the optimal control input sequence in the presence of ramp disturbances. Also, analyzing the structure of the proposed PFC system and controller poles, we prove that the estimator-based PFC system has actually two integral actions. Finally, numerical simulation tests are conducted to check the effectiveness of the proposed method.