Abstract
The temperature control system of air conditioning is a kind of non-linear control system, which has the characteristics of complex system structure, more external environment interference, strong parameter coupling, and time-varying, which makes the temperature control system more complex. A simple Proportional–Integral–Derivative (PID) algorithm and derivative algorithm can not control it to a very good effect for such a nonlinear temperature control system. This paper combines PID control algorithm with fuzzy algorithm and Radial Basis Function (RBF) algorithm to form RBF Fuzzy PID control algorithm, which integrates the advantages of PID control algorithm, fuzzy algorithm, and RBF algorithm, including prediction, proportion, fuzzy, integral control and so on. By establishing the mathematical model of the air-conditioning room temperature rein system, the RBF Fuzzy PID rein system is built, and MATLAB simulates the scheme. The simulation experiment shows that the rein strategy has a small overshoot, short convergence time, accurate rein, and strong anti-interference ability. The simulation consequences show that it has a superior control effect, has certain feasibility, and can be used in intelligent air conditioning systems.
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Shang, Z., Xuhong, H., Shenping, T., Nan, Z., Ma, R., Chang, KC. (2022). Indoor Air Conditioning Temperature Control System Based on RBF Fuzzy PID Control Algorithm. In: Hassanien, A.E., Snášel, V., Chang, KC., Darwish, A., Gaber, T. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021. AISI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-030-89701-7_22
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DOI: https://doi.org/10.1007/978-3-030-89701-7_22
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