TY - GEN
T1 - Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit
AU - Yin, Qiaoyu
AU - Li, Weili
AU - Zhang, Xiaochen
AU - Huo, Feiyang
PY - 2010
Y1 - 2010
N2 - In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.
AB - In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.
KW - Beam pumping unit
KW - Continuous quantum particle swarm optimization
KW - Optimal design
KW - Paswarm optimization
UR - http://www.scopus.com/inward/record.url?scp=78650628931&partnerID=8YFLogxK
U2 - 10.1109/BICTA.2010.5645153
DO - 10.1109/BICTA.2010.5645153
M3 - Conference contribution
AN - SCOPUS:78650628931
SN - 9781424464388
T3 - Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
SP - 1231
EP - 1235
BT - Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing
T2 - 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Y2 - 23 September 2010 through 26 September 2010
ER -
