Abstract
The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.
Highlights
The proportional-integral-derivative (PID) controller is one of the prevalent controllers that is widely used because of its simple structure and acceptable performance
A novel combined scheme of model predictive control (MPC) and PID controller implemented in a two-tier hierarchical structure is proposed
The MPC results in good performance, but its accuracy strongly depends on the model
Summary
Jafar Tavoosi 1,* , Mohammadamin Shirkhani 1 , Ali Abdali 2, Ardashir Mohammadzadeh 3,* , Mostafa Nazari 4, Saleh Mobayen 5,* , Jihad H.
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