负荷跟踪型主蒸汽温度智能控制系统研究

Research on Intelligent Control for Load Tracking System of Main Steam Temperature

针对传统PID控制对负荷波动下的主蒸汽温度控制系统实时性差、人工调参比较困难的问题,提出了负荷跟踪型模糊PID智能控制系统。采用负荷跟踪前馈控制,降低因负荷波动给整个系统带来的干扰。同时在系统反馈环节加入变步长灰色预测控制,提前得到系统输出,实现主蒸汽温度的超前控制,解决控制不及时的问题。60 min数据仿真结果表明,实时系统输出值与目标温度值的误差在0.5~1℃,超调量减小11.5%,调节时间缩短18%。整个系统具有较强的负荷跟踪能力,能实现快准稳的主蒸汽温度智能化过程控制。

In order to solve the problems of traditional PID control in the main steam temperature control system under load fluctuation,such as poor real-time performance and the difficulty of manual parameter adjustment,a load tracking fuzzy PID intelligent control system is proposed.Load tracking feedforward control is adopted to reduce the interference caused by load fluctuation to the whole system.At the same time,switching grey predictive control is added in the feedback link of the system to get the output of the system in advance.The advance control of the main steam temperature can be realized and the problem of not-in-time control can be solved.The 60-minute data simulation results show that the error between the output value of the real-time system and the target temperature value is 0.5~1℃,the overshoot is decreased by 11.5%,the adjustment time is shortened by 18%.The whole system has strong load tracking capability and can realize fast,accurate and stable intelligent process control of main steam temperature.