Proceedings ArticleDOI
Design of Fuzzy Based IMC-PID Controller for IPD Process
Parikshit Kr Paul,Chanchal Dey,Rajani K. Mudi +2 more
- pp 111-114
Reads0
Chats0
TLDR
An IMC-PID tuning rule for the IPD process is developed using first-order Padé approximation for dead time and a second-order filter is added to make the controller structure proper.Abstract:
A fuzzy based IMC-PID controller is designed for pure integrating process with delay (IPD). Here, we develop an IMC-PID tuning rule for the IPD process using first-order Pade approximation for dead time and a second-order filter is added to make the controller structure proper. The value of the only tuning parameter i.e., closed-loop time constant is selected with the help of a simple fuzzy rule base. An overall improvement is observed in the performance of the proposed IMC-PID controller in comparison with existing IMC tuning relations.read more
Citations
More filters
Journal ArticleDOI
Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity
TL;DR: In this paper, a proportional integral derivative controller in series with a second-order lead/lag filter for pure integrating process with time delay based on internal model control principle to achieve efficient disturbance rejection and robustness.
Journal ArticleDOI
Fuzzy tuned model based control for level and temperature processes
TL;DR: An auto-tuning scheme for the conventional IMC-PID controller is proposed by varying its sole tuning parameter depending on the latest process operating conditions to achieve an overall acceptable process response.
Proceedings ArticleDOI
Comparative the performance of TITO systems for Distillation column
TL;DR: In this paper, the design of a PID controller to control TITO distillation columns and improve its performance is discussed, and the results acquired by different modified controlling methods used namely process perfect, mismatch with disturbance tuning the methods using First Order Pulse Time Delay (FOPTD) improved the performance of the system.
Proceedings ArticleDOI
Design of Fuzzy-IMC PID Controller for TITO Process with Time Delay
TL;DR: The performance improvement of the proposed fuzzy-IMC PID controller is observed due to the set point change as well as load disturbance and compared with other multi-loop PID controllers reported in leading literature.
Journal ArticleDOI
Polynomial-based Stability Analysis of Modified IMC-PID Controller for Piezoelectric Actuator System in Time Delay Environment
Sandip Jana,Sandip Jana,Saikat Kumar Shome,Saikat Kumar Shome,Arpita Mukherjee,Arpita Mukherjee +5 more
TL;DR: The positioning accuracy of this nonlinear actuator is severely limited by physi... as mentioned in this paper. But, the positioning accuracy can be improved by using a more accurate actuator, which is used in several industrial applications requiring precision positioning.
References
More filters
Journal ArticleDOI
Optimum Settings for Automatic Controllers
J. G. Ziegler,N. B. Nichols +1 more
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.
Optimum Settings for Automatic Controllers
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect.
Journal ArticleDOI
Simple analytic rules for model reduction and PID controller tuning
TL;DR: In this article, the authors present analytic rules for PID controller tuning that are simple and still result in good closed-loop behavior, including the half-rule for obtaining the effective time delay.
Journal Article
Consider IMC turning to improve controller performance
I-Lung Chien,Paul S. Fruehauf +1 more
Journal ArticleDOI
Optimal tuning of PID controllers for integral and unstable processes
TL;DR: In this paper, a tuning formula for PID controllers applied to integral and unstable processes is presented, in particular, the controller parameters are determined, based on the process model, to minimise integral squared error performance criteria.