Research on Temperature Control System of Plant Factory Based on Particle Swarm Optimization
Abstract— In order to solve the problems of complex temperature control and inaccurate regulation in plant
factories, this paper starts from the actual model of plant factory, uses STM32 processor with embedded
Cortex-M3 as the core, and collects the plant factory through Modbus fieldbus technology. Temperature
information, using the MATLAB tool to derive the temperature control model of the plant growth cabinet.
Finally, the fuzzy control algorithm and particle swarm optimization (PSO) optimization algorithm are used
to control the temperature control model with two different PIDs. By establishing the MATLAB simulation
model, the optimal control method under the plant growth cabinet model is obtained. The results show that
compared with fuzzy PID, PID control based on PSO algorithm has good stability and regulation, and plants
based on this environment can get better growth.
Index Terms— plant growth cabinet, temperature control, modbus fieldbus, PSO algorithm, fuzzy PID control
Shigang Cui , Jiejie Chen, Xingli Wu , Lin He , Yongli Zhang
Tianjin University of Technology and Education, Tianjin Key Laboratory of Information Sensing & Intelligent Control, CHINA
Cite: Shigang Cui , Jiejie Chen, Xingli Wu , Lin He , Yongli Zhang, "Research on Temperature Control System of Plant Factory Based on Particle Swarm Optimization1," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 940-946, Hong Kong, 15-17 June, 2019.