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A study of CMAC neural network generalized predictive control for generating unit

机译:CMAC神经网络通用预测控制对生成单元的研究

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Large thermal power unit is complex, nonlinear, big lag system. Using the traditional control method is difficult to get the best running effect. And in neural network modeling based on multivariable generalized predictive control strategy, has wide range, strong robustness etc, and can effectively make up for the deficiency. Based on the Cerebellar Model Articulation Controller neural network modeling, after the online rolling optimization and feedback correction, realize the predictive control. The simulation results show its validity.
机译:大型火电机是复杂的,非线性,大滞后系统。使用传统的控制方法很难获得最佳运行效果。在基于多变量广义预测控制策略的神经网络建模中,具有广泛,强大的鲁棒性等,可以有效地弥补缺陷。基于小脑模型关节控制器神经网络建模,在线滚动优化和反馈校正后,实现预测控制。仿真结果显示其有效性。

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