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基于动态线性逼近的非线性系统预测控制
The generalized predictive control for a class of nonlinear systems based on dynamic approximate linearization
【摘要】 对于一类常见多重时滞非线性离散时间系统,提出了基于动态线性逼近的增量型简化递推预测模型、广义预测控制律、噪声估计器以及带有参数限定时域长度的参数自适应递推预报算法,实现了对存在较大滞后的时滞非线性系统的广义预测控制。通过仿真表明,该算法对于一类非线性系统实现预测控制是正确和有效的。
【Abstract】 The generalized predictive control algorithm, its parameter adaptive recursive pre- dicting with parameter control length and noise estimator, are presented for a class of nonlinear discrete time systems with multiple time delays based on dynamic approximate linearization increment minimized recursive predicting model method. Generalized predictive control is em- ployed for nonlinear systems with heavy multiple time delays. Simulation results for several typical nonlinear systems are given to demonstrate the correctness and effectiveness of the method.
- 【文献出处】 电机与控制学报 ,Electric Machines and Control , 编辑部邮箱 ,2001年03期
- 【分类号】TP13
- 【被引频次】24
- 【下载频次】204