The invention belongs to the technical field of PID (
Proportion Integration Differentiation) control optimization, and particularly relates to a pure fresh meat kitten immune dry food
dehydration control method for optimizing PID based on an improved
particle swarm optimization algorithm. Firstly, multi-parameter data in the
dehydration process are collected, then
PID controller parameters are optimized by using an improved
particle swarm optimization algorithm, and according to the
algorithm, through a specific objective function, particle initialization,
fitness function selection, iterative updating of particle speed and position, introduction of local search enhancement factors, dynamic adjustment of
inertia weight, updating of step length based on particle historical information and the like are carried out. And when the
fitness function reaches a threshold error, optimization is stopped, and finally, optimized parameters are applied to
dehydration control, and the precision is improved in combination with improvement of a dehydration
delay compensation item. The defects of an existing control method are overcome, the dehydration
process control precision is effectively improved, the
system stability and the response speed are improved, and a better technical scheme is provided for dehydration control of the pure fresh meat kitten immune dry food.