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In this paper, multivariable predictive control algorithm and its application to the control of the environmental test device are introduced particularly. The temperature and humidity control system of the environmental test device is characterized as long time delay and severe coupling. Therefore, the routine PID control effect is unsatisfactory. In this case, the simulation of the temperature and humidity control of the environmental test device based on multivariable predictive control algorithm is made.
Predictive control algorithm is one of control algorithm based on description of system’s input-output. Its three basic principles are predictive model, rolling optimization and feedback correction. It chooses unit step response as its predictive model, so that the modeling process is simplified. In addition, good control and decoupling effects could be possessed by means of selection suitable parameters.
In this paper, the environmental test device is introduced briefly and the existing problems are showed. Then multivariable predictive control algorithm is presented particularly, including multivariable auto-balance system predictive control algorithm and multivariable auto-unbalance system predictive control algorithm. Next, system modeling process and corresponding system model are proposed. Further, the multivariable predictive control algorithm is applied to the temperature and humidity control system of the environmental test device. Finally, the simulation results are compared.
Results of the simulation show that multivariable predictive control algorithm could be used in those multivariable system like the temperature and humidity control system of the environmental test device and the control result would be more satisfactory than that of the routine PID control.
Keyword: Multivariable system, Predictive control, Environmental test device
英文摘要和关键词应该是中文摘要和关键词的翻译 英文摘要和关键词占一页
附录
附录C
目录范例
目 录
摘要 Ⅰ Abstract Ⅱ
第一章 绪论 1 1.1 预测控制概述 1 1.2 环境试验设备简介 2 1.3 主要研究工作 2 1.4 本文安排 3
第二章 基础知识介绍 4 2.1 预测控制的基本原理 4 2.1.1 预测控制的三项基本原理 4 2.1.2 预测控制的几种算法 5 2.2 动态矩阵控制算法 5 2.2.1 概述 5 2.2.2 动态矩阵控制算法 6 2.3 本章小结 10
第三章 环境试验设备介绍及建模研究 11 3.1 环境试验设备介绍 11 3.1.1 简介 11 3.1.2 环境试验设备的结构及硬件 11 3.1.3 环境试验设备控制的难点 12 3.2 环境试验设备的建模研究 12 3.2.1 环境实验设备的模型概述 12 3.2.2 飞升曲线法辨识环境试验设备的数学模型 14 3.3 本章小结 19
第四章 多变量预测控制算法的研究与推导 20 4.1 多变量预测控制算法的推导 20 4.2 仿真研究 24 4.3 本章小节 25
第五章 多变量非自衡系统预测控制算法的研究与推导 26 5.1 多变量非自衡系统预测控制算法 26 5.1.1 单变量非自衡系统预测控制算法 26 5.1.2 多变量非自衡系统预测控制算法 29 5.2 仿真研究 33 5.3 本章小结 34
第六章 环境试验设备的预测控制研究 35 6.1 脉冲响应系数模型的获得及对象特性分析 35 6.1.1 脉冲响应系数模型的获得 35 6.1.2 对象特性分析 36 6.2 仿真控制实验 37 6.2.1 参数选择 37 6.2.2 仿真控制结果 43 6.3 本章小结 45
结束语 46 参考文献 47 附录 48