摘要:热工过程往往表现出非线性、大迟延和大惯性等特点,难以建立精确的数学模型。针对这一问题,应用LMS自适应滤波器对火电厂过热汽温对象进行建模。该方法以过热器的入口和出口汽温作为滤波器的激励信号和期望信号,根据最小梯度算法调整滤波器抽头权值,获得过热汽温的FIR模型。文中建模方法计算复杂度低,仿真结果和某电厂运行数据验证了这种方法的有效性。
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