Design of a Robust Sliding Mode Fuzzy Controller for Nonlinear HVAC Systems

Heating, Ventilating and Air Conditioning (HVAC) plant, is a multivariable, nonlinear and non minimum phase system, that its control is very difficult. In this paper, we apply a robust sliding mode fuzzy controller to HVAC system. Our proposed method can achieve very robust and satisfactory performance and could be used to get the desired performance levels. The response time is also very fast despite the fact that the control strategy is based on bounded rationality. To evaluate the usefulness of the proposed method, we compare the response of this method with PID controller. The simulation results show that proposed method has the better control performance than PID controller.

[1]  M. Zaheer-Uddin.  Optimal control of a single zone environmental space , 1992 .

[2]  John Y. Hung,et al.  Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[3]  Jacob S. Glower,et al.  Designing fuzzy controllers from a variable structures standpoint , 1997, IEEE Trans. Fuzzy Syst..

[4]  J. J. Slotine,et al.  Tracking control of non-linear systems using sliding surfaces with application to robot manipulators , 1983, 1983 American Control Conference.

[5]  Max Donath,et al.  American Control Conference , 1993 .

[6]  Wu Jian,et al.  Development of an adaptive neuro-fuzzy method for supply air pressure control in HVAC system , 2000 .

[7]  Guang Geng,et al.  On performance and tuning of PID controllers in HVAC systems , 1993, Proceedings of IEEE International Conference on Control and Applications.

[8]  Chris Underwood,et al.  Robust control of HVAC plant II: controller design , 2000 .

[9]  Miguel Velez-Reyes,et al.  Nonlinear control of a heating, ventilating, and air conditioning system with thermal load estimation , 1999, IEEE Trans. Control. Syst. Technol..

[10]  Mohammad Javad Yazdanpanah,et al.  Nonlinear control and disturbance decoupling of an HVAC system via feedback linearization and back-stepping , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

[11]  J. F. Kreider,et al.  Local and global control of commercial building HVAC systems using artificial neural networks , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[12]  Soura Dasgupta,et al.  NONLINEAR OPTIMAL CONTROL OF HVAC SYSTEMS , 2002 .