Abstract:

With the improvement of overall system performance requirements, control problems in distribution process has already become the current research focus. The output of the object of microscopic distribution process are controlled by macro way, not can arbitrary shaped curves track with offset-free. This paper propose an offset-free model predictive control algorithm of controlling the distribution process. First, the method describe the distribution process with B-splines. Second, using composite trapezoidal rule for discretizing proposition of rolling optimization. Finally, using the quadratic programming method to calculate the offset-free target to achieve offset-free control. It proved well performed at simulation experiment.

Key words: distribution process, model-predictive control, offset-free control, optimization, mathematical modeling

摘要：

随着系统总体性能要求的提高,分布曲线对象的控制问题成为研究热点。分布曲线对象是通过宏观的操作手段控制微观的输出曲线,不是任意形状的目标曲线都是能无偏跟踪的。提出了一种分布曲线对象的无偏模型预测控制算法。该方法首先采用B样条模型进行分布曲线对象的描述,其次通过复合梯形方法对滚动优化命题进行离散化,最后采用二次规划方法进行无偏目标曲线计算,以实现无偏控制。仿真结果表明了算法的有效性。

关键词: 分布曲线对象, 模型预测控制, 无偏控制, 优化, 数学模拟