A particle swarm optimization approach for optimum design of PID controller in linear elevator

With the rapid development of permanent magnet linear synchronous motor (PMLSM) application in elevators, the design of PID controllers of these systems are very important. According to the ability of Particle Swarm Optimization (PSO) in solving nonlinear problems, in this paper a PSO algorithm has been used in the controller design of PMLSM. The PMLSM model has been developed in MATLAB/Simulink and the PSO algorithm has been applied to PID controller design. The algorithm has been tested on a case study and the results have been provided with a brief discussion at the end.

[1]  Jing Zhang,et al.  Linear elevator velocity control system based on correction factor fuzzy PID , 2008, 2008 Chinese Control and Decision Conference.

[2]  Xinyu Zhang,et al.  A novel fuzzy PID velocity control of linear elevator driven by the permanent magnet linear synchronous motor , 2008, 2008 International Conference on Electrical Machines and Systems.

[3]  Qing Hu,et al.  Application of NN-PID Control in Linear Elevator , 2009, 2009 Fifth International Conference on Natural Computation.

[4]  Jing Zhang,et al.  Velocity Control for Rope-less Elevator Using Permanent Magnet Linear Synchronous Motor with Adaptive Fuzzy PID , 2007, 2007 IEEE International Conference on Automation and Logistics.

[5]  Randy L. Haupt,et al.  Practical Genetic Algorithms with CD-ROM , 2004 .