Adaptive Vaccine Extraction Immune Particle Swarm Optimization Algorithm

Man, Chuntao; Sheng, Guimin; Zhang, Tao

doi:10.1109/bmei.2009.5302919

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2014

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“…Particle swarm optimization algorithm is a stochastic global optimization algorithm based on swarm intelligence. According to the disadvantages of classical PSO algorithm [2,3] , such as easy to fall into local optimum and dimension disasters, etc, proposed a new algorithm, KIPSO by literature [4] is for PID controller tuning. And simulating test is proceeded by mat lab.…”

Section: Introductionmentioning

confidence: 99%

Application of the K-Means Immune Particle Swarm Optimization Algorithm in the Steam Generator Water Level Control

Sheng

Xue

Zhang

2014

AMR

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The Stability of SG water level plays an important role in the safety of nuclear power plants, but tuned the parameter of water level PID controller is hard. Proposed a novel algorithm, KIPSO, which tuning PID controller parameters. Determine the cluster centre through K-means value cluster algorithm, and take the cluster territory as the characteristic value of vaccine set, enhance the vaccine multiplicity. Updated vaccine extraction by self-adaptive method, improved the convergence and adaptability. Analyzed the algorithm robustness in detail, and gave the rule which the immunity selection parameter. The simulation results shows: compares with the PID controller whose parameters are tuned by ZN method, KIPSO have a smaller overshoot, a better stability, and a shorter adjustment time. The simulation results show that the proposed method is effective for tuning PID parameters.

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Section: Introductionmentioning

confidence: 99%