制冷系统NPID控制器优化设计研究  

Optimization Design Researchof Refrigeration system NPID Controller

作　　者：李庚[1] 吴爱国[1] 温海棠[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《计算机仿真》2016年第9期339-344,共6页Computer Simulation

摘　　要：在制冷效率优化中,由于制冷系统运行工况复杂,实际工程中普遍采用的单回路PID控制效果不佳,蒸发器过热度存在振荡现象,降低了系统能源利用效率。为了节约能源同时减少机组损害,设计了一种含有待定参数的NPID控制器,用于蒸发器过热度控制,使其保持在相应负荷下的最小过热度。针对控制器参数设计了混合粒子群算法,随负荷变化自动在线优化选择控制器参数。将NPID控制器经过简单对象仿真验证后用于压缩式空调系统仿真,结果表明,相较于传统PID控制器,NPID控制器加快了调节速度,减小了超调量,蒸发器过热度可稳定跟随设定值变化,提高了系统能源利用效率。Operating conditions of refrigeration system is complex. Control effect of single circuit PID controller is unsatisfactory. Degree of evaporator superheat oscillates under traditional PID control, which reduces energy use efficiency of refrigeration system. In order to save energy as well as protect the equipment, a nonlinear PID （NPID） controller with outstanding parameters is designed to control degree of evaporator superheat aiming to ensure which keeping the minimum value under relevant load. A hybrid particle swarm algorithm is designed for optimal selection of controller parameters which is optimized along the load change. The NPID controller is used for refrigeration system simulation after verification in simple system. Simulation results show that the NPID controller accelerates the adjusting speed and reduces the overshot. Degree of evaporator superheat follows the set point steadily which improves energy use efficiency of the refrigeration system.

关 键 词：控制器 非线性控制 粒子群算法 参数优化 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]