工业过程多变量时滞系统的预测函数控制

Predictive Functional Control for Multivariable Systems with Time-delay in Industrial Process

为提高工业过程中多变量、时滞和强耦合系统的动态特性和耦合能力,文章将预测函数控制与解耦控制相结合,给出了一种新的多变量时滞系统预测函数控制算法。该法首先给出了解耦控制算法,通过对解耦后的对象幅频和相频特性分析,获得对象的一阶加纯滞后模型;然后根据预测函数控制原理对解耦后的多个单变量时滞对象设计控制器;最后仿真结果表明,该控制方法具有在线计算量小、跟踪快速和精度高等特点,能够实现复杂多变量系统的更有效控制。

To improve the dynamic characteristics and the coupling capability, a new predictive function- al control algorithm is proposed for strong coupling multivariable systems with time-delay in industrial process, which combines predictive functional control and decoupling control. Firstly, a decoupling con- trol algorithm is proposed, in which first-order models with time-delay are established by analyzing the amplitude-frequency and phase-frequency characteristics of the decoupled subject. Then a controller is designed for the single-variable subjects after decoupling based on the principles of predictive functional control. The simulation results show that this proposed algorithm has less online computation time, faster tracking, and higher control accuracy. It can provide a more effective control for complex multivariable systems.