广义预测控制设计中系统约束的在线求解

K. Belda
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引用次数: 6

摘要

给出了约束系统输出的一种有效解。该解决方案基于单个系统输出或输出组件的在线加权,实际上代表了加权控制参数组件的特定在线调谐/应用。因此,预测控制设计在不增加时间计算需求的情况下保持了灵活性。所提出的解仅表示约束的软解,即不完全保证约束的遵从性,但结果令人满意,与用二次规划等方法计算的硬约束解的结果相差不大。该解决方案预先确定了需要非常高采样率的快速动态系统的使用区域,如电力驱动等。本文给出的解是一种通用的解。通过简单的仿真算例和三相电驱动的实际控制实例进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-line solution of system constraints in generalized predictive control design
A specific efficient solution of constrained system outputs is presented. The solution is based on on-line weighting of individual system outputs or output components representing in fact a specific on-line tuning/applification of the components of weighting control parameters. Thus, the predictive control design retains flexibility without any increase of time-computational demands. The proposed solution represents only soft solution of the constraints, i.e. a compliance with the constraints is not fully guaranteed, but the result is satisfactory and not so far from results of hard-constraint solution computed e.g. by a quadratic programming. The solution predetermines the area of the use to the systems with fast dynamics requiring very high sampling rates as electric drives and the like. The solution is presented in the paper as a generalized solution for common use. It is demonstrated by simple simulative examples and one illustration from a real control of 3-phase electric drive.
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