Title :
Parameter estimation of induction motor based on chaotic ant swarm algorithm
Author :
Zhu, Hong-yu ; Cheng, Wan-sheng ; Jia, Zhu-zhi ; Hou, Wei-Gang
Author_Institution :
School of Electronic and Information Engineering, Liaoning University of Science and Technology, Anshan, China
Abstract :
Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. This paper proposes a new parameter estimation method for induction motor based on chaotic ant swarm algorithm. The problem of induction motor parameter estimation is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. A numerical simulation on the test motor is conducted. Simulation results show that the proposed method is effective in parameter estimation of the induction motor.
Keywords :
Capacitance; Gas detectors; Materials; Metals; Temperature measurement; Temperature sensors; Chaotic Ant Swarm Algorithm; Induction Motor; Parameter Estimation;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690640