基于状态空间模型的多变量统一预测控制(UPC)算法

Chengjun Yue, Wang Qinglin
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摘要

作为一种预测控制方法,统一预测控制(UPC)的优点已经在一些出版物中得到了证明。使用UPC,可以在一个统一的框架下设计不同的控制器,克服了用通用方法设计控制器时控制结果比较困难的问题,大大降低了设计成本。然而,UPC也有它的缺点。当将其应用于解决多变量控制问题时,算法过于复杂,因此在实现和分析上存在很多困难。本文提出了一种基于状态空间模型的新算法。克服了原算法的局限性。它是统一预测控制的一种扩展。给出了仿真结果。
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A multivariable unified predictive control (UPC) algorithm based on the state-space model
As a kind of predictive control method, advantages of the unified predictive control (UPC) have been demonstrated in several publications. With UPC, different controllers can be designed under a unified frame, which overcomes the difficulty of comparing control results when the controllers are designed in general way, and the cost of design is reduced considerably. However, UPC also has its drawback. When it is applied to solve the problem of multivariable control, the algorithm is too complicated, therefore, there are many difficulties for it to be implemented and analyzed. A new kind of algorithm based on the state-space model is presented in this paper. The limitation of the original algorithm is overcome. It is an extension of the unified predictive control. Simulation results are given.
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