Improved Particle Swarm Fuzzy PID Temperature Control for the Pellet Grills
Hansong Li, Guangjun Lu, Jiande Su, Tao Hou, Faguan Huang, Youshi Pan
Abstract
To improve the stability and accuracy of temperature control in pellet grill, this article proposes a method that applies a Fuzzy PID controller optimized with Improved Particle Swarm Optimization (IPSO). Techniques such as Circle mapping are introduced to enhance the convergence speed and efficacy of the particle swarm algorithm (PSO). The optimized particle swarm algorithm is used for the identification of the transfer function of the pellet grill, as well as for the optimization of the quantification factor and the proportional factor within the Fuzzy PID controller. The IPSO optimized Fuzzy PID control strategy was then experimentally applied to a prototype pellet grill. The results show that the control system limits the overshoot to 1.6% and temperature fluctuations to within 1.83°F, demonstrating good stability and anti-interference capability, and significantly improving the effectiveness of temperature control. Therefore, the research findings provide a feasible solution for the temperature regulation of pellet grill.