摘要
研究了参数在有界区域内变动的热工过程比例微分积分(PID)控制系统的性能比较和参数选优问题。针对热工过程的特点,基于Monte-Carlo实验原理,以过渡过程品质为指标,提出了一种PID控制系统鲁棒性及性能的比较研究方法。针对若干典型热工对象,对一些典型的PID整定方法:Ziegler-Nichols方法、Chien-Hrones-Reswick方法、Cohen-Coon方法、IMC方法、IST2E最优方法、极点配置方法、幅值相位裕量方法所设计的PID控制系统的过渡过程性能进行了比较。通过火电厂锅炉过热蒸汽温度串级控制的仿真实例,证明了该方法的实用性和有效性。
This paper studies parameter optimization for a proportionalintegraldifferential (PID) control system of thermal processes whose parameters vary over a region. A MonteCarlo simulation was developed using the characteristics of thermal processes to compare the performance and robustness of various PID control systems for timedependent processes. The PID control systems were tuned using wellknown PID tuning methods, such as ZieglerNichols, ChienHronesReswick, CohenCoon, IMC, Opt, Pole Assignment, and Gain Phase Margin, for several classical thermal models. The simulation results for a boiler superheated steam temperature control system substantiate the validity of this method.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2002年第12期1651-1654,共4页
Journal of Tsinghua University(Science and Technology)
