摘要
针对微电网SPWM双闭环逆变器控制过程中存在的参数整定复杂且系统自适应性差等问题,提出了一种基于粒子群优化(Particle Swarm Optimization,PSO)的PI控制方法。PSO具有全局搜索能力,利用粒子的运动轨迹对寻优空间进行并行随机搜,能够快速寻找最优解,实现PI控制参数的自整定和快速实时调节,有效地克服了传统PID参数调节方法的弊端。通过在MATLAB\Simulink中建立仿真模型进行实验,结果表明,基于PSO的PI控制策略应用于微网双闭环SPWM逆变电源控制过程,提高了系统的自适应性,能够显著改善系统的稳态和动态性能。
A new method of Proportional integral(PI)control based on particle swarm optimization(PSO)is proposed to solve the problems of complex parameter setting and poor system adaptability in the control process of Sinusoidal Pulse Width Modulation(SPWM)double closed-loop inverter in microgrid.By the ability of global search and the particle’s trajectory,PSO can can find the optimal solution quickly in the optimal space and realize the self-tuning and real-time adjustment of PI control parameters.The simulation model is built in the Matlab\simulink and experiments are carried out.The results show that the PI control strategy based on PSO is applied to the control process of double closed-loop SPWM inverter,which can significantly improve the steady-state and dynamic performance of the system.
作者
杜岗
张萍
骆汝九
李海东
DU Gang;ZHANG Ping;LUO Rujiu;LI Haidong(Lianyungang Technical College,Lianyungang Jiangsu 222000,China)
出处
《电子器件》
CAS
北大核心
2020年第4期815-819,共5页
Chinese Journal of Electron Devices
基金
江苏省高等学校自然科学研究面上项目(19KJD520004)
连云港职业技术学院校级科研项目(重点)(XZD201902)
江苏省高职院校教师专业带头人高端研修项目(2019GRFX066)。