中文摘要：

传统的模型预测控制算法是一自由度控制器，不具有使系统的目标跟踪特性和干扰抑制特性同时到达最佳的能力．本文提出一种基于多自由度性能指标的模型预测控制算法，对设定值跟踪、抗可测扰动、抗不可测扰动与模型失配等情况，允许设置不同的响应参数，提高了控制器品质．仿真结果表明了算法的有效性．

英文摘要：

Traditional model predictive control is a one-degree-of-freedom controller, so good dynamic response performance of both set-point tracking and disturbance rejection characteristics can＇ t be achieved simultaneously. An improved model predictive control algorithm based on multi-degree-of-freedom performance index is proposed for the industrial plant to achieve good dynamic response performance of set-point tracking and disturbance rejection and model mismatch. The simulated results are given to demonstrate the effectiveness of the designed controller.