一类非线性系统的广义预测控制研究

The generalized predictive control study of a class of nonlinear systems

提出一种针对双线性Hamm erste in模型的预测控制策略。该策略将双线性Hamm erste in模型中的无记忆非线性静态增益环节,改进成易于由中间变量求取控制量的环节,避免求解高阶方程根的困难,又对双线性环节采用双线性系统的广义预测控制。避免解非线性优化问题,使得到的中间变量的表达式具有解析形式。由于引入广义预测控制中多步预测的思想,抗噪声的能力显著提高。仿真结果验证了该策略的有效性。

A generalized predictive control strategy aimed at a kind of bilinear Hammerstein model is proposed. The strategy avoid to solve the high level equation with improve the static nonlinearity portion in the bilinear Hammerstein model and adopted the generalized predictive control algorithm in the bilinear portion to avoid the heavy computation of generic nonlinear optimization, the middle variable has analytical form. The power to resist disturbance is enhanced due to introduce multi-step predictions idea from generalized predictive control. The simulation examples demonstrate the effectiveness of the strategy