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本文提出了一种解谐最小方差自校正前馈控制器。该控制器将自校正控制的最优策略与经典的极点配置策略结合起来,因而具有两者的优点。该控制器不仅可以完全消除可测干扰的影响,而且可以应用于多变量系统实现自适应解耦控制。文中讨论了该控制器在多变量电加热炉中的工程应用。实时控制结果表明,自校正前馈控制器不仅能适应电网电压波动等因素引起的模型参数的改变,控温效果优于常规PID调节器,而且可使被控变量之间的耦合作用大大减小。
In this paper, a novel self-tuning feedforward controller with minimum variance is proposed. The controller combines the optimal strategy of self-tuning control with the classic pole placement strategy, which has the advantages of both. The controller can not only eliminate the influence of measurable interference completely, but also can be applied to multivariable system to realize adaptive decoupling control. The article discusses the application of this controller in multivariable electric heating furnace. The results of real-time control show that the self-tuning feedforward controller can not only adapt to the changes of model parameters caused by factors such as voltage fluctuation in the power grid, but also control the temperature better than the conventional PID regulator, and can greatly reduce the coupling between the controlled variables .