摘要
采用递推最小二乘法对主蒸汽温度控制系统进行闭环辨识,依据串级控制结构的特点,通过双线性变换法转换辨识模型及划分辨识环节,从而推导得出辨识参数方程;基于时间乘绝对误差的积分准则(ITAE)实现PID参数的离线优化,并在仿真模型上验证了上述方法的有效性。将该辨识模型用于某电厂600 MW机组主蒸汽温度控制系统PID参数的优化,结果表明主蒸汽温度控制系统动态调节性能显著提高,同时可达到离线优化控制系统的目的。
By adopting the recursive least square method,a close-loop identification of the main steam temperature control system has been carried out.Based on features of the cascade control structure,and through double linearity transformation model,the identification model has been converted,and the identification links being divided,thereby,the identification parameter equation being deducted and obtained.Based on the integration criterion of time multiplying absolute error,the off-line optimization of PID parameters has been realized,and the effectiveness of above-mentioned method being verified on the emulation model.The said identification model has been used for optimization of PID parameters in the main steam temperature control system of one 600 MW unit,results show that the dynamic regulation performance of the main steam temperature control system has been remarkably enhanced,at the same time,the target of off-line optimization for the control system can be reached.
出处
《热力发电》
CAS
北大核心
2011年第6期29-33,共5页
Thermal Power Generation
关键词
递推最小二乘法
闭环辨识
模型
主蒸汽温度
控制系统
PID参数
recursive least square method
close-loop identification
model
main steam temperature
control system
PID parameter
