OPTIMAL CONTROL OF A HEAT PUMP SYSTEM USING FUZZY CONTROL AND GENETIC ALGORITHM

摘要：

The capacity control of a variable speed vapor compression system using superheat information at the compressor discharge was investigated. Fuzzy controller was selected for the modulation of the discharge superheat. System identification based on predefined inputs and outputs was carried out to complete the state-space system model. The type of input signals was pseudo-random binary sequences (PRBS) and the order of system was assumed as 7. To find the optimal fuzzy rule table, genetic algorithm was used as a searching tool. The experiment results showed that the optimized fuzzy controller alleviated undershoot and overshoot in the discharge superheat, outlet temperature of secondary fluid and refrigerant mass flow rate compared to PI controller.

作者: Gilbong LEE Il Hwan LEE Jongwon Choi Min Soo KIM

作者单位: School of Mechanical and Aerospace Engineering, Seoul National University, Seoul 151-744, Korea

会议类型: 国际会议

会议名称: The 22nd International Congress of Refrigeration(第22届国际制冷大会)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-21（万方平台首次上网日期，不代表论文的发表时间）