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Study of Time-delay State Feedback Predictive Control Based on Time-delay T-S Fuzzy Model Inference

机译:基于时滞T-S模糊模型推断的时滞状态反馈预测控制研究

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摘要

The common control problem of multi-time delayed nonlinear systems in process control is studied. A new predictive control algorithm based on time-delay T-S model's fuzzy inference is presented for systems with both multi-time delayed states and multi-time delayed input. The predictive control is designed by using time-delay T-S fuzzy model as predictive model of the Time-delay State Feedback Predictive Control. The algorithm utilizes time-delay T-S fuzzy model to get the state and output estimated value, and corrects the output estimated value by using the measurable process variable. Then in terms of optimal control theory, the control movement, which is used to control the whole nonlinear system, is calculated by the corrected estimated value and set-point value. The truck-trailer time-delay system is also simulated with different cases. The simulation result shows the effectiveness and feasibility of the proposed method.
机译:研究了过程控制中多次延迟非线性系统的常见控制问题。一种新的基于时延T-S模型模糊推断的预测控制算法,用于具有多次延迟状态和多次延迟输入的系统。通过使用时延T-S模糊模型作为时间延迟状态反馈预测控制的预测模型来设计预测控制。该算法利用时间延迟T-S模糊模型来获得状态和输出估计值,并通过使用可测量的过程变量来校正输出估计值。然后,在最佳控制理论方面,通过校正的估计值和设定点值来计算用于控制整个非线性系统的控制运动。卡车拖车时滞系统也用不同的情况进行模拟。仿真结果表明了该方法的有效性和可行性。

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