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本文导出了一类基于广义回归模型的大范围平均预测控制算法,讨论了当系统受非平稳扰动时控制器的修正方案。仿真结果表明,该控制器对非建模动态和时滞变化不敏感,对其它复杂过程的控制亦有效。
In this paper, we derive a kind of large-scale average predictive control algorithm based on generalized regression model, and discuss the controller’s correction scheme when the system is subjected to non-stationary disturbance. Simulation results show that the controller is insensitive to non-modeling dynamics and time-lag variation, and is also effective in controlling other complex processes.