Piecewise Model and Parameter Obtainment of Governor Actuator in Turbine
Piecewise Model and Parameter Obtainment of Governor Actuator in Turbine
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DOI：
10.1155/2015/709272
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
Jie Zhao;Li Wang;Dichen Liu;Jun Wang
中科院分区：
文献类型：
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作者：
Jie Zhao;Li Wang;Dichen Liu;Jun Wang
在某些火电厂中，调速器执行机构具有非线性阀门。阀门的这种非线性可能导致根据阀门的整段全开和全闭实验测试曲线计算的开启和关闭时间常数不准确。提出了一种改进的涡轮机调速器执行机构数学模型，以反映阀门的非线性，采用主、辅分段启闭时间常数代替固定的油动启闭时间常数来描述执行机构的特性。由全开全闭曲线的直线段求出主开闭时间常数。通过对该阀的小扰动试验，对比例积分微分（PID）控制器的参数进行了辨识。然后通过全启闭试验确定了辅助启闭时间常数和分段启闭阀点。选取几个测试函数，将遗传算法和粒子群优化算法（GA-PSO）与其他基本智能算法进行比较。通过实际电厂算例验证了分段线性模型及其参数的有效性。
The governor actuators in some heat-engine plants have nonlinear valves. This nonlinearity of valves may lead to the inaccuracy of the opening and closing time constants calculated based on the whole segment fully open and fully close experimental test curves of the valve. An improved mathematical model of the turbine governor actuator is proposed to reflect the nonlinearity of the valve, in which the main and auxiliary piecewise opening and closing time constants instead of the fixed oil motive opening and closing time constants are adopted to describe the characteristics of the actuator. The main opening and closing time constants are obtained from the linear segments of the whole fully open and close curves. The parameters of proportional integral derivative (PID) controller are identified based on the small disturbance experimental tests of the valve. Then the auxiliary opening and closing time constants and the piecewise opening and closing valve points are determined by the fully open/close experimental tests. Several testing functions are selected to compare genetic algorithm and particle swarm optimization algorithm (GA-PSO) with other basic intelligence algorithms. The effectiveness of the piecewise linear model and its parameters are validated by practical power plant case studies.