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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。
The performance comparison and parameter optimization of proportional-integral-derivative (PID) control system for thermal engineering with parameters changing in a bounded area are studied. According to the characteristics of thermal process, based on the Monte-Carlo experimental principle and the transition process quality as an indicator, a comparative research method of robustness and performance of PID control system is proposed. For some typical thermal objects, some typical PID tuning methods are Ziegler-Nichols, Chien-Hrones-Reswick, Cohen-Coon, IMC, IST2E, pole placement, The designed PID control system is compared with the transitional process performance. The simulation example of cascade control of superheated steam temperature in thermal power plant boiler proves the practicability and effectiveness of the method.