摘要
PID控制器作为反馈控制系统设计的重要部分,在工业生产中得到广泛的应用。PID控制器中K_(p),K_(i),K_(d)三个参数的设定直接影响控制器的性能。传统PID参数整定周期长、稳定性差,无法满足当代工业控制需求。针对此类问题,提出一种改进的哈里斯鹰算法用于PID参数整定,通过种群迭代寻找限定范围内的最优参数。通过曲线递归和Logistic混沌映射,改善原算法收敛速度慢、低维度时搜索性能差、易陷入局部最优解的缺点。选用ITAE指标对改进后的曲线递归哈里斯鹰算法与哈里斯鹰算法、粒子群算法对PID控制器参数整定的效果进行了对比,仿真实验结果表明,改进后的曲线递归哈里斯鹰算法收敛速度快、超调量小、稳态误差小,更加适应当代工业控制需求。
As a crucial component in feedback control system design,the PID controller has been widely applied in industrial production.The tuning of three parameters Kp,Ki,Kd in the PID controller directly affects the controller’s performance.Traditional PID parameter tuning methods suffer from long tuning cycles and poor stability,unable to meet the demands of contemporary industrial control.To address these issues,an improved Harris Hawks Optimization(HHO)algorithm is proposed for PID parameter tuning,which searches for optimal parameters within a defined range through population iteration.By incorporating curve recursion and Logistic chaotic mapping,the proposed method overcomes the original algorithm′s drawbacks of slow convergence speed,poor search performance in low-dimensional spaces,and tendency to fall into local optima.The ITAE(Integral of Time-weighted Absolute Error)performance index is used to compare the effectiveness of the improved Curve-Recursive Harris Hawks Optimization(CRHHO)algorithm with the original HHO and Particle Swarm Optimization(PSO)algorithms in tuning PID controller parameters.Simulation results demonstrate that the improved CRHHO algorithm exhibits faster convergence,smaller overshoot,and reduced steady-state error,making it better suited to meet the requirements of contemporary industrial control.
作者
林俊豪
李莉
LIN Junhao;LI Li(Beijing Electronic Science and Technology Institute,Beijing 100070,P.R.China)
出处
《北京电子科技学院学报》
2025年第3期125-131,共7页
Journal of Beijing Electronic Science And Technology Institute
基金
北京市高等教育“本科教学改革创新项目”2023-81
多学科交叉的电子信息工程创新人才培养模式的研究与实践(iy202202)
“电子信息工程”国家级一流本科专业建设点(gjylzy2021001)
北京市高等教育学会课题:数智化赋能电子信息类课程教学的研究与实践(MS2023114)。
