摘要
研究空调风量优化控制问题,控制应有快速性,精度要满足要求。但由于系统存在非线性或具有不确定项的对象,难以进行有效的控制。常规PID控制算法简单,鲁棒预测控制在处理不确定性控制问题时显示出控制的快速性难以保证。结合鲁棒预测控制和常规PID的优势设计了鲁棒预测—PID复合控制器,使不确定对象的响应快速稳定。设计在上升时间段采用PID控制,当响应趋向设定值时切换为鲁棒预测控制。给出两种控制方式的平稳过渡方法。采用鲁棒预测-PID复合控制器对变风量空调系统的风压进行控制,给出变频风机控制的正确建模,并与鲁棒预测控制、常规PID控制的仿真进行比较,验证所提出控制方法的有效性。
Combined with the advantages of the robust predictive control and the conventional PID control, the paper designed the robust predictive - PID compound controller to ensure that the response of the object with uncer- tainties is rapid and stable. In the rise time, the PID control was adopted. When the response was close to the set value, the controller switched to the robust predictive control. A smooth transition method for two kinds of control modes was given. The robust predictive - PID compound controller was used to control the static pressure in the vari- able air volume air conditioning system and gave the correct modeling of the frequency conversion fan. By comparing the simulations with the robust predictive control and the conventional PID control, the results verify the effectiveness of the proposed compound control.
出处
《计算机仿真》
CSCD
北大核心
2013年第10期394-398,共5页
Computer Simulation
基金
住房和城乡建设部科学技术项目(2012-K1-35)
陕西省教育厅自然科学专项基金项目(11JK0906)
关键词
比例积分微分控制
模型预测控制
复合控制
变风量空调
建模
仿真
PID control
Robust predictive control
Compound control
Variable air volume air conditioning
Mod-eling
Simulation