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摘要: 针对广义预测控制 (Generalized predictive control, GPC) 计算量大的缺陷, 本文对参数未知非线性系统提出一种直接广义预测控制 (Direct generalized predictive control, DGPC) 方法. 该方法直接辨识广义预测控制器参数, 即基于广义误差估计值对控制器参数 θu 和广义误差估计值中的未知向量 θe 进行自适应辨识. 理论证明了该方法可使广义误差估值收敛到原点的一个小邻域内.Abstract: A kind of direct generalized predictive control (DGPC) method for a class of nonlinear systems with unknown parameters is proposed to overcome the shortcoming of large computation load of original GPC. This method directly recognizes the parameters of GPC controller, namely the controller parameters θu and the unknown vectors θe in the estimated generalized error are adjusted adaptively. It is proved that the method can make the estimated generalized error converge to a small neighborhood of the origin.
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Key words:
- Nonlinear systems /
- generalized predictive control /
- stability analysis
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