摘要
提出了一种新型智能PID控制器,并在电厂主汽温串级控制系统中进行仿真研究。智能PID控制器由模糊PD控制器和自调节积分环节并联组成,其特点是:模糊控制器的规则库由自适应神经元在线调节,积分器的增益由模糊推理机在线整定。因而该控制系统是无模型控制系统,无须被控对象的精确数学模型,系统可以实现参数的自整定,具有很强的自学习能力。对某超临界600MW直流锅炉主汽温控制的仿真结果表明,这种控制器可以实现多个工况点的控制,具有很强的自适应能力,并且在大范围的负荷变化和时变控制系统中仍具有稳定的控制效果、较强的鲁棒性和较好的抗扰动性能。
A novel intelligent PID controller is proposed and applied to the cascade feedback control system of boiler steam temperature in this paper. This intelligent PID controller is composed of fuzzy PD controller and an integral controller with self-tuning ability. The main characteristics of this controller are that the rules of fuzzy controller are adjusted through single-neuron self-learning on-line and the gain of integrator is tuned by fuzzy inference on-line. So the parameters of this controller are tuning on-line through intelligent algorithm completely, this controller is independent of the system model. After applied to the superheated steam temperature cascade control system of 600 MW coal-fired boiler, a great number of simulation results show that the controller not only has strong adaptive ability to control different working situations, but also has more stable controt performance and stronger robustness and better characteristics of overcoming disturbances during the large scale load change and real-time change controlled system.
出处
《浙江电力》
2007年第6期14-18,共5页
Zhejiang Electric Power
关键词
单神经元
自适应
智能PID
模糊控制
主汽温控制
single-neuron
adaptive
intelligent PID
fuzzy control
superheated steam temperature
