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讨论了对象参数辨识与模型匹配控制(MMC)相结合的自适应控制方法。该方法是基于RIV 在线参数辨识求取时变对象参数,进而利用 MMC 方法不断修正反馈与前馈增益,使对象得到与预选模型相匹配的动态响应。实验室一模拟对象与一实际工业对象的数字仿真结果说明了该方法的可行性。该算法能被改进为一种实时在线的计算机控制策略而加以实施。
The adaptive control method based on object parameter identification and model matching control (MMC) is discussed. The method is based on RIV on-line parameter identification to obtain time-varying object parameters, and then use the MMC method to continuously modify the feedback and feedforward gain, so that the object gets the dynamic response matching the preselected model. The simulation results of a laboratory simulation object and an actual industrial object illustrate the feasibility of the method. The algorithm can be improved to implement a real-time online computer control strategy.