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基于CGT(Command Generator Tracker)理论的模型输出跟踪控制可实现对低阶理想参考模型的性能跟踪。然而,当被控对象会随环境变化而改变时,控制系统的跟踪性能会有所下降。为了进一步提高控制系统的适应性,提出了一种基于CGT的自适应模型输出跟踪控制方法。该方法通过在线辨识系统参数,自动调整前馈输入,从而提高控制系统的跟踪性能。随后,针对网络化铝板温度系统应用了提出的基于CGT的自适应模型输出跟随控制器。实验验证了控制方法的有效性,实现了对铝板温度的网络化跟踪控制。
Model output tracking control based on CGT (Command Generator Tracker) theory can track the performance of low-order ideal reference model. However, when the controlled object changes with the environment, the tracking performance of the control system will decrease. In order to further improve the adaptability of the control system, a CGT-based adaptive model output tracking control method is proposed. The method can automatically adjust the feedforward input by identifying the system parameters online to improve the tracking performance of the control system. Subsequently, the proposed CGT-based adaptive model output follow-up controller was applied to the networked aluminum temperature system. Experiments verify the effectiveness of the control method and realize the networked tracking control of aluminum temperature.