Study on PID Control of Aquatic Product Dryer based on Support Vector Machine Optimized by Improved Particle Swarm Algorithm

In order to obtain the aquatic product with good quality, the fuzzy PID controller through training depended on support vector machine optimized by improved particle swarm algorithm is used to carry out the performance parameter controlling of aquatic product dryer. Firstly, the support vector machine is constructed. Secondly, the improved particle swarm algorithm through combining with bacterial foraging algorithm is put forward, and its algorithm steps of improved particle swarm algorithm is designed. Thirdly, the basic theory of PID control based on support vector machine of aquatic product dryer is analyzed. Finally, temperature controlling simulation of sea cucumber dryer is implemented, results show that the new type PID controller can obtain better controlling effect.