摘要
量子粒子群(Quantum-Delta-Potential-Well-BasedParticleSwarmOptimization,QDPSO)算法是量子空间里的粒子群算法。基于QDPSO提出了一种新的PID参数整定算法,该算法具有操作简单、稳定收敛、寻优快速等优点。同时,引进了一种新的时域评价标准函数来评价QDPSO-PID控制器的性能。仿真结果表明了所提出算法的有效性和所设计控制器的优越性。
QDPS0 is the particle swarm optimization in quantum space.Based on QDPSO,a new algorithm is presented to tune PID controller parameters,which has superior features,including easy implementation,stable convergence,and quick computational efficiency.In the same time,a new time-domain performance criterion function is proposed for estimating the performance of the QDPSO-PID controller.Numerical simulations show that the proposed algorithm is effective and the controller designed in term of this algorithm is superior to others.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第3期61-63,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(60474030)。
