Title :
Implementation of a PSO based online design of an optimal excitation controller
Author :
Yan, Chuan ; Venayagamoorthy, Ganesh K. ; Corzine, Keith A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
The Navypsilas future electric ships will contain a number of pulsed power loads for high-energy applications such as radar, railguns, and advanced weapons. This pulse energy demand has to be provided by the ship energy sources, while not impacting the operation of the rest of the system. It is clear from studies carried out earlier that disturbances are created at the generator ac bus. This paper describes an online design and laboratory hardware implementation of an optimal excitation controller using particle swarm optimization (PSO) to minimize the effects of pulsed loads. The PSO algorithm has been implemented on a digital signal processor. Laboratory results show that the PSO designed excitation controller provides an effective control of a generatorpsilas terminal voltage during pulsed loads, restoring and stabilizing it quickly.
Keywords :
control system synthesis; digital signal processing chips; electric generators; electric vehicles; optimal control; particle swarm optimisation; pulsed power supplies; ships; Navy future electric ships; PSO based online design; digital signal processor; generator ac bus; high-energy applications; optimal excitation controller; pulsed power loads; ship energy sources; AC generators; Hardware; Laboratories; Marine vehicles; Optimal control; Particle swarm optimization; Radar applications; Railguns; Voltage control; Weapons;
Conference_Titel :
Swarm Intelligence Symposium, 2008. SIS 2008. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-2704-8
Electronic_ISBN :
978-1-4244-2705-5
DOI :
10.1109/SIS.2008.4668330