In wet flue gas desulfurization (WFGD) process, the pH value of the absorption tower slurry is a crucial factor to the efficiency of desulfurization system. Aiming at the nonlinearity and large lag of the pH change in WFGD process, a predictive control strategy based on Hammerstein–Wiener inverse model compensation is proposed. During the calculation of optimal control, an anti-model of Wiener nonlinearity unit is adopted to transform the output setting values and sampling values. Similarly in the control process, the controller output is applied to the actual controlled object after inverse transformation of the static nonlinear Hammerstein model. Through the above two inverse transformations, the controller output is identical with the input of linear link in the closed-loop system. In this article, the inverse model compensation method is utilized to transform nonlinear process control into linear system control, avoiding the large computation of nonlinear model optimization. Finally, the feasibility and effectiveness of the proposed scheme are verified by simulation.

中文翻译：

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湿法烟气脱硫过程pH值的约束非线性模型预测控制

在湿法烟气脱硫 (WFGD) 工艺中，吸收塔浆液的 pH 值是影响脱硫系统效率的关键因素。针对WFGD过程中pH值变化的非线性和较大滞后性，提出了一种基于Hammerstein-Wiener逆模型补偿的预测控制策略。在最优控制计算中，采用维纳非线性单元的反模型对输出设定值和采样值进行变换。同样在控制过程中，控制器输出经过静态非线性Hammerstein模型逆变换后应用于实际控制对象。通过以上两个逆变换，控制器的输出与闭环系统中线性环节的输入相同。在本文中，利用逆模型补偿方法将非线性过程控制转化为线性系统控制，避免了非线性模型优化的大量计算。最后通过仿真验证了所提方案的可行性和有效性。