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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Temperature Control via Affine Nonlinear Systems for Intermediate Point of Supercritical Once-Through Boiler Units
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Temperature Control via Affine Nonlinear Systems for Intermediate Point of Supercritical Once-Through Boiler Units

机译:通过仿射非线性系统对超临界直流锅炉机组中间点进行温度控制

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For the operation of the supercritical once-through boiler generation units, the control of the temperatureat intermediate point (IPT) is highly significant. IPT is the steam temperature at the outlet of the separator. Currently, PID control algorithms are widely adopted for the IPT control. However, PID cannot achieve the optimal performances as the units’ dynamic characteristic changes at different working points due to the severe nonlinearity. To address the problem, a new control algorithm using affine nonlinear system is adopted for a 600 MW unit in this paper. In order to establish the model of IPT via affine nonlinear system, the simplified mechanism equations on the evaporation zone and steam separator of the unit are established. Then, the feedback linearizing control law can be obtained. Full range simulations with the load varying from 100% to 30% are conducted. To verify the effectiveness of the proposed control algorithm, the performance of the new method is compared with the results ofthe PID control. The feed-water flow disturbances are considered in simulations of both of the two control methods. The comparison shows the new method has a better performance with a quicker response time and a smaller overshoot, which demonstrates the potential improvement for the supercritical once-through boiler generation unit control.
机译:对于超临界直流锅炉发电单元的运行,中间点温度(IPT)的控制非常重要。 IPT是分离器出口处的蒸汽温度。目前,PID控制算法已被广泛用于IPT控制。然而,由于严重的非线性,PID无法获得最佳性能,因为设备的动态特性会在不同的工作点发生变化。针对这一问题,本文针对600 MW机组采用了一种仿射非线性系统的控制算法。为了建立仿射非线性系统的IPT模型,建立了单元蒸发区和汽水分离器的简化机理方程。然后,可以获得反馈线性化控制律。进行了负载范围从100%到30%的全范围仿真。为了验证所提出的控制算法的有效性,将新方法的性能与PID控制的结果进行了比较。在两种控制方法的模拟中都考虑了给水流量扰动。比较表明,该新方法具有更快的响应时间和更小的过冲性能,性能更好,证明了超临界直流锅炉发电单元控制的潜在改进。

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