摘要
在自动控制的发展历程中,PID参数优化一直是研究的重要问题,PID控制算法在工程上的应用极其广泛,其鲁棒性的应用研究也具有广泛的工程实用价值。基于粒子群算法,提出了一种优化热工被控对象模型PID参数的策略,通过仿真比较优化前后的输出,验证了算法的有效性。同时,针对被控对象在不同参数摄动情况下的鲁棒性进行了理论分析和仿真研究,并比较了不同算法整定下的单位阶跃响应曲线,进一步证明了算法的可行性。
In the development of automatic control,PID parameters optimization has always been an important research issue,PID control algorithm is widely used in engineering,the applied research of the robustness also has extensive engineering practical value.Based on particle swarm algorithm,this paper puts forward an optimization strategy of PID parameters in thermal controlled object model.By comparing the simulation output before and after optimization,the effectiveness of the algorithm is verified,at the same time,this paper carries on the theoretical analysis and simulation study in view of the robustness of the controlled object in case of different parameter perturbation,further proves the feasibility of the algorithm.
作者
可寅
Ke Yin(School of Control and Computer Engineering,North China Electric Power University,Beijing,102206,China)
出处
《仪器仪表用户》
2018年第9期61-64,共4页
Instrumentation
关键词
粒子群算法
PID参数整定
仿真
particle swarm algorithm
PID parameter tuning
simulation
