J Shanghai Jiaotong Univ Sci ›› 2021, Vol. 26 ›› Issue (2): 186-192.doi: 10.1007/s12204-020-2245-5

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Auto-Tuning Parameters of Fractional PID Controller Design for Air-Conditioning Fan Coil Unit

LI Shaoyong (李绍勇), WANG Duo (王铎), HAN Xilian (韩喜莲), CHENG Kang (程康), ZHAO Chunrun (赵春润)   

  1. (School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China)
  • 出版日期:2021-04-28 发布日期:2021-03-24
  • 通讯作者: LI Shaoyong (李绍勇) E-mail:lishaoyong99@163.com

Auto-Tuning Parameters of Fractional PID Controller Design for Air-Conditioning Fan Coil Unit

LI Shaoyong (李绍勇), WANG Duo (王铎), HAN Xilian (韩喜莲), CHENG Kang (程康), ZHAO Chunrun (赵春润)   

  1. (School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China)
  • Online:2021-04-28 Published:2021-03-24
  • Contact: LI Shaoyong (李绍勇) E-mail:lishaoyong99@163.com

摘要:  The traditional integer order PID controller manipulates the air-conditioning fan coil unit (FCU) that offers cooling and heating loads to each air-conditioning room in summer and winter, respectively. In order to maintain a steady indoor temperature in summer and winter, the control quality cannot meet the related requirements of air-conditioning automation, such as large overshoot, large steady state error, long regulating time, etc. In view of these factors, this paper develops a fractional order PID controller to deal with such problem associated with FCU. Then, by varying mutation factor and crossover rate of basic differential evolution algorithm adaptively, a modified differential evolution algorithm (MDEA) is designed to tune the satisfactory values of five parameters of indoor temperature fractional order PID controller. This fractional order PID control system is configured and the corresponding numerical simulation is conducted by means of MATLAB software. The results indicate that the proposed fractional order PID control system and MDEA are reliable and the related control performance indexes meet with the related requirements of comfortable air-conditioning design and control criteria.


关键词: air-conditioning fan coil unit (FCU), fractional order PID control, modified differential evolution
algorithm (MDEA),
auto-tuning parameters of controller

Abstract:  The traditional integer order PID controller manipulates the air-conditioning fan coil unit (FCU) that offers cooling and heating loads to each air-conditioning room in summer and winter, respectively. In order to maintain a steady indoor temperature in summer and winter, the control quality cannot meet the related requirements of air-conditioning automation, such as large overshoot, large steady state error, long regulating time, etc. In view of these factors, this paper develops a fractional order PID controller to deal with such problem associated with FCU. Then, by varying mutation factor and crossover rate of basic differential evolution algorithm adaptively, a modified differential evolution algorithm (MDEA) is designed to tune the satisfactory values of five parameters of indoor temperature fractional order PID controller. This fractional order PID control system is configured and the corresponding numerical simulation is conducted by means of MATLAB software. The results indicate that the proposed fractional order PID control system and MDEA are reliable and the related control performance indexes meet with the related requirements of comfortable air-conditioning design and control criteria.


Key words: air-conditioning fan coil unit (FCU), fractional order PID control, modified differential evolution
algorithm (MDEA),
auto-tuning parameters of controller

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