由于电网负荷指令变化频繁和煤质不稳定,火电机组更多处于变工况运行状态下,再热汽温控制品质难以满足要求。参考Smith预估器思想,利用被控制对象惰性区模型构造高阶导前微分环节,替换常规导前微分控制系统中的实际微分环节,构成高阶导前微分控制系统。系统达到最优的条件是,惰性区模型等于或接近实际对象,所以同时给出确定对象惰性区增益和惯性时间的方法。在此基础上,针对惰性区对象特性随机组负荷变化的问题,利用机组蒸汽流量信号在线调整模型参数,形成开环自适应系统以保证全负荷工况系统性能。工程实验证明,该方法具有控制品质好、物理意义明确、控制器参数整定简便的优点。
Because of frequently changing of grid load instruction and unstable coal quality, the thermal power plant is always under varying operating conditions, and the control performance of the reheated steam temperature cannot satisfy the field requests. Based on the Smith predictor idea, using the model of inertial area the high-order guidance differential element was constructed to replace the real differential element in traditional guidance differential control system. Then the high-order guidance differential control system was constructed. The optimum condition of the system was that the model of inertial area was equal or close to the real one. So the method to confirm the gain and the inertial time of the inertial area was given. On the basis of these, for the problem of inertial area characteristics changing with unit load change, the model parameters were adjusted on line by using steam flow signal of the unit, and the open loop self-adaptive control system was constructed to ensure the control system performance under full load conditions. Engineering practice shows that the method has finer control performance, explicit physical meanings, and easily adjusted parameters of control.