Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

被引:0
作者
Pankaj Mohindru
机构
[1] Punjabi University (A State Government University),Department of Electronics & Communication Engineering
来源
Artificial Intelligence Review | / 57卷
关键词
Liquid level; Controllers; Fuzzy logic; Temperature; Peak overshoot; Integral of the absolute error; Integral of the time-weighted absolute value of the error;
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摘要
The chemical production process is tedious due to the integration of different types of equipment and variables. Designing the controller is crucial in the chemical industry due to the interactive and non-linear system behaviour. An intelligent autonomous controller can improve the operating efficiency of the industry. Although several controllers have been developed, different system failures are frequently reported. Hence, controllers such as proportional integral derivative (PID), fuzzy logic controller (FLC), and hybrid fuzzy PID (F-PID) applied in the chemical industries are critically reviewed in the paper. Initially, the PID controller-based approaches are reviewed for different purposes in the chemical industry. After that, the FLC-based controllers-based papers are reviewed. In order to satisfy the issues in both controllers, the H-PID controllers have been reviewed. This review paper will provide an effective solution for operation control in the chemical industry under different operating conditions.
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