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Intelligent Control of pH in a Neutralization Process

机译:中和过程中pH值的智能控制

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In the present study, control of pH neutralization process using neural and fuzzy controller is proposed. Initially a conventional PI controller based on the Relay Feedback method is tried to control the pH at different linear regions. Control of pH by conventional PI controller based on the local linear model fails to provide satisfactory performance over the entire region. Hence to overcome this drawback a Neuro controller with inverse model anticipation and a fuzzy controller are used. In this study a novel fuzzy controller is used. Most fuzzy controllers use control error (e) and change in the control error ( e) as controller inputs and not able to differentiate the region in which process operates. This controller uses set point as third input to select the region in which the process is operating. An experimental study of the performance of the intelligent controllers designed is carried out on a pilot plant in the lab.
机译:在本研究中,提出了使用神经和模糊控制器控制pH中和过程的方法。最初,尝试使用基于继电器反馈方法的常规PI控制器来控制不同线性区域的pH。基于局部线性模型的常规PI控制器对pH的控制无法在整个区域内提供令人满意的性能。因此,为了克服该缺点,使用了具有逆模型预期的神经控制器和模糊控制器。在这项研究中,使用了一种新型的模糊控制器。大多数模糊控制器使用控制误差(e)并将控制误差(e)的变化作为控制器输入,并且无法区分过程运行的区域。该控制器将设定点用作第三输入,以选择过程在其中运行的区域。在实验室的试验工厂中对所设计的智能控制器的性能进行了实验研究。

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