Optimal PID controller tuning method for single-input/single-output processes

AIChE Journal ◽  
2002 ◽  
Vol 48 (6) ◽  
pp. 1358-1361 ◽  
Author(s):  
Su Whan Sung ◽  
Tai-yong Lee ◽  
Sunwon Park
1999 ◽  
Vol 7 (5) ◽  
pp. 623-633 ◽  
Author(s):  
Damir Vrančić ◽  
Youbin Peng ◽  
Stanko Strmčnik

In many Industries, the fault tolerant control scheme have been accepted and used from many decades. In this paper, the observer and the observer based Controller is designed for the three tank interacting system. Initially in this work, the three tank interacting system with Single Input Single Output configuration is modeled and conventional PID controller has been implemented, finally the performances are analyzed. Then the observer is designed for the three tank interacting system. Inorder to design the observer based controller, the control law and the feed forward gain value is calculated and described by Chakrabarti A et al.[4]. Finally the observer based controller performances are also analyzed. In this work, the sensor is replaced by the state observer. The observer based controller provides better performance than the conventional PID controller. This work may lead to design fault tolerant control for three tank interacting system in future.


1994 ◽  
Vol 116 (2) ◽  
pp. 293-304 ◽  
Author(s):  
A. Tornambe` ◽  
P. Valigi

This work deals with the problem of the robust stabilization of a class of multi-input multi-output (MIMO) dynamical systems. A simple decentralized controller is proposed, which reduces to the classical PID controller in case of single-input single-output dynamical systems. Such a controller includes integral actions for the compensation of the entire dynamics of the system. The paper is completed with an application to robotic systems.


Author(s):  
Bin He ◽  
Tengyu Li ◽  
Jinglong Xiao

Abstract The control performance of the control system directly affects the running performance of the product. In order to solve the problem that the dynamics characteristics of mechanical systems are affected by the performance degradation of the controller, a digital twin-driven proportion integration differentiation (PID) controller tuning method for dynamics is proposed. In this paper, first, the structure and operation mechanism of the digital twin model for PID controller tuning are described. Using the advantages of virtual real mapping and data fusion of the digital twin model, combined with the online identification of the controlled object model, the problems of real-time feedback of an actual control effect of the controller and the unreal virtual model of the control system caused by time-varying working conditions are effectively solved, and the closed-loop self-tuning of PID controller is realized. At the same time, intelligent optimization algorithm is integrated to improve the efficiency and accuracy of PID controller parameter tuning. Second, the modeling method of the digital twin model is described from three aspects of physical prototyping, twin service system, and virtual prototyping. Finally, the controller tuning for gear transmission stability is taken as an example to verify the practicability of the proposed method.


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