Research on SVM Parameter Optimization Mechanism Based on Particle Swarm Optimization

2021 ◽  
pp. 328-337
Author(s):  
Ning Cao ◽  
Wenli Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Parameter Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Optimization Mechanism

Parameter Optimization of PID Controller Based on an Improved Particle Swarm Optimization for the Induction Motor

2011 ◽  
Vol 130-134 ◽  
pp. 1938-1942
Author(s):  
Xia Bo Shi ◽  
Wei Xing Lin
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Parameter Optimization ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Motor Speed ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Ipso Algorithm

This paper presents a new approach of PID parameter optimization for the induction motor speed system by using an improved particle swarm optimization (IPSO). The induction motor speed is changed by the stator voltage controlled with PID controller. The performance of PID controller based on IPSO is compared to Linearly Decreasing Inertia Weight (LIWPSO). Simulation results demonstrate that the IPSO algorithm has better dynamic performance, higher accuracy and faster convergence and good performance for the PID controller.

Control parameter optimization for AP1000 reactor using Particle Swarm Optimization

2016 ◽  
Vol 87 ◽  
pp. 687-695 ◽  
Author(s):  
Pengfei Wang ◽  
Jiashuang Wan ◽  
Run Luo ◽  
Fuyu Zhao ◽  
Xinyu Wei
Keyword(s):  
Particle Swarm Optimization ◽  
Parameter Optimization ◽  
Control Parameter ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Ap1000 Reactor
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