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- W2350874645 abstract "The temperature control system of aircraft ground air conditioning carts is a complex system with model imprecise,nonlinear,time-varying and uncertain work environment.The traditional PID control has high overshoot,slow response,poor ability of anti-interference and so on.There is degenerate phenomenon based on the genetic algorithm PID parameters tuning,so stability is poor,and it is easy to fall into local optimum based on the particle swarm optimization,so accuracy is not high.This paper proposed a genetic-particle swarm optimization PID control method with good stability,high accuracy,strong anti-interference.It utilized traditional PID method,combined with their respective advantages of the genetic algorithm and the particle swarm optimization algorithm,and achieved the PID parameters online tuning.It has been proved by the Matlab simulation experimental results that this algorithm has small overshoot,fast response,high precision,strong anti-interference ability,and other advantages.Meanwhile,it has greatly improved the performance of the PID control.And it is very suitable for the aircraft air conditioning temperature control." @default.
- W2350874645 created "2016-06-24" @default.
- W2350874645 creator A5013420955 @default.
- W2350874645 date "2012-01-01" @default.
- W2350874645 modified "2023-09-24" @default.
- W2350874645 title "Simulation Research of Temperature Control in Aircraft Ground Air Conditioning Carts" @default.
- W2350874645 hasPublicationYear "2012" @default.
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