The Optimization Calculation and Analysis of Energy-saving Motor Used in Beam Pumping Unit Based on Continuous Quantum Particle Swarm Optimization

摘要

In this paper, a new kind of quantum particleswarm algorithm for continuous space optimization is proposed,in which quantum computation is introduced into PSO. Theparticles can be described as superposition of multiple states.Quantum bits are updated by quantum rotation gates, andmutated by quantum non-gates. The numerical simulation resultsshow that the new algorithm has better stability, global searchcapability and faster convergence rate than classical PSO andGA. Furthermore, the new algorithm is applied to the structureoptimization of 37kW energy-saving motor used in beampumping unit successfully. The main structure parameters ofmotor are selected as optimal variables. And the performance ofmotor is chosen as constraint conditions. Motor efficiency isselected as optimization goal. The optimized energy-saving motor,which is more energy efficient and materials saving, meets therequirements of periodic pulsating variable load, low load andenergy saving in oil field.