Heating, ventilation, and air conditioning (HVAC) system is significant to the energy efficiency in buildings. In this paper, temperature control of HVAC system is studied in winter operation season. The physical model of the zone, the fan, the heating coil and sensor are built. HVAC is a non-linear, strong disturbance and coupling system. Linear active-rejection-disturbance-control is an appreciate control algorithm which can adapt to less information, strong-disturbance influence, and has relative-fixed structure and simple tuning process of the controller parameters. Active-rejection-disturbance-control of the HVAC system is proposed. Simulation in Matlab/Simulink was done. Simulation results show that linear active-rejection-disturbance-control was prior to PID and integral-fuzzy controllers in rising time, overshoot and response time of step disturbance. The study can provide fundamental basis for the control of the air-condition system with strong-disturbance and high-precision needed.
References
[1]
Afram, A. and Janabi-Sharifi, F. (2014) Review of Modeling Methods for HVAC Systems. Applied Thermal Engineering, 67, 507-519.
https://doi.org/10.1016/j.applthermaleng.2014.03.055
[2]
Bai, X.L. and Yang, W.H. (2010) Evaluation Method and Application of Integrated Operation Energy Efficiency of Air-Conditioning System. Building Science, 26, 46-49. (In Chinese)
[3]
Shen, G.M., Shu, G. and Wang, C.X. (2009) Simulation of Fuzzy Self-Tuning PID Control in AHU System. AV & CA, 39, 138-140. (In Chinese)
[4]
Lin, X.Y., Shen, G.M. and Xie, J.L. (2007) Applications of Fuzzy Controller in Central Air-Conditioning Controlling System. Refrigeration and Air-Conditioning, 1, 47-50. (In Chinese)
[5]
Rafael, A., et al. (2003) Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Applied Intelligence, 18, 155-177.
https://doi.org/10.1023/A:1021986309149
[6]
Han, J.Q. (1998) Active-Disturbance-Rejection Controller and Its Applications. Control and Decision, 13, 19-23. (In Chinese)
[7]
Gao, Z.Q. (2013) On the Foundation of Active Disturbance Rejection Control. Control Theory & Applications, 30, 1499-1509. (In Chinese)
[8]
Miklosovic, R. and Gao, Z. (2005) A Dynamic Decoupling Method for Controlling High Performance Turbo Fan Engine Shot. Process of the 16th IFAC World Congress, 38, 532-537.
[9]
Zheng, Q., Chen, Z.Z. and Gao, Z.Q. (2009) A Practical Approach to Disturbance Decoupling Control. Control Engineering Practice, 17, 1016-1025.
https://doi.org/10.1016/j.conengprac.2009.03.005
[10]
Huang, C.-E, Li, D.H. and Xue, Y.L. (2013) Active Disturbance Rejection Control for the ALSTOM Gasifier Benchmark Problem. Control Engineering Practice, 21, 556-564. https://doi.org/10.1016/j.conengprac.2012.11.014
[11]
Huang, Y. and Xue, W.C. (2011) Active-Disturbance-Rejection-Control: Methodology and Theoretical Analysis. Journal of System Science & Mathematic Sciences, 31, 1111-1129. (In Chinese)
[12]
Gao, Z. (2014) On the Centrality of Disturbance Rejection in Automatic Control. ISA Transactions, 53, 850-857. https://doi.org/10.1016/j.isatra.2013.09.012
[13]
Gao, Z. (2003) Scaling and Bandwidth Parametrization Based Controller Tuning. Proceedings of the 2003 American Control Conference, Denver, CO, 4-6 June 2003, 4989-4996.
[14]
Gu, K., Fu, D.X. and Wang, Y.G. (2014) Decoupling of the ADRC in Variable Air Volume Air Conditioning. Information Technology, 1, 24-27. (In Chinese)
[15]
Shi, Y.C., Li, Z.J. and Lv, C. (2015) Temperature of Air Conditioning Spaces Based on Active Disturbance Rejection Control. Transactions of China Electrotechnical Society, 30, 439-444.
[16]
Tashtoush, B., Molhim, M. and Al-Rousan, M. (2005) Dynamic Model of an HVAC System for Control Analysis. Energy, 30, 1729-1745.
https://doi.org/10.1016/j.energy.2004.10.004
[17]
Zhu, J. (1995) The Theory and Applications of the Fuzzy Control. Mechanic Industry, Beijing. (In Chinese)
