Haeri Mohammad, Aalam Nima
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
ISA Trans. 2006 Jul;45(3):393-405. doi: 10.1016/s0019-0578(07)60220-1.
Nonlinearity caused by actuator constraint plays a destructive role in the overall performance of a control system. A model predictive controller can handle the problem by implementing a constrained optimization algorithm. Due to the iterative nature of the solution, however, this requires high computation power. In the present work we propose a new method to approach the problem by separating the constraint handling from the predictive control job. The input constraint effects are dealt with in a newly defined component called a predictive directional compensator, which works based on the directionality and predictive concepts. Through implementation of the proposed method, the computational requirement is greatly reduced with the least degradation of the closed-loop performance. Meanwhile, a new characteristic matrix has been defined by which directionality of SISO as well as nonminimum phase systems can be determined.
执行器约束引起的非线性对控制系统的整体性能具有破坏性作用。模型预测控制器可以通过实施约束优化算法来处理该问题。然而，由于解的迭代性质，这需要高计算能力。在本工作中，我们提出了一种新方法来解决该问题，即将约束处理与预测控制任务分离。输入约束效应在一个新定义的称为预测方向补偿器的组件中处理，该组件基于方向性和预测概念工作。通过所提出方法的实施，计算需求在闭环性能最少降级的情况下大大降低。同时，定义了一个新的特征矩阵，通过它可以确定单输入单输出系统以及非最小相位系统的方向性。
