基于软约束方法的区间预测控制

Zone Model Predictive Control Algorithm Using Soft Constraint Method

本文对具有区间预测的控制算法进行了研究 ,提出了一种新的“软约束”实现方法 ,不需要判断输出变量是否违反区间控制要求 ,避免了近似设定值的选取问题。为进一步改善控制品质 ,提出了区间轨迹方法 ,通过调整轨迹参数可以在响应速度与模型准确性之间进行选择与平衡。仿真结果表明了该算法的有效性。

A zone model predictive control algorithm using soft constraint method was proposed and developed . The estimation on the zone constraint violation was avoided; as a consequence the selection of the approximate setpoint when the control variable violates its zone constraint was skipped. To further improve control performance, zone trajectory method was proposed and a parameter was provided to trade off the response performance and model accuracy. The effective performance was proved by the simulation results.