Journal of Scientific and Industrial Research

Open Access Open Access  Restricted Access Subscription Access

A Comparative Performance Assessment of Evolutionary Fractional Order PID Controllers for Magnetic Levitation Plant with Time Delay


Affiliations
1 Dept. of EEE, Birla Institute of Technology Mesra, Off-Campus Deoghar, Deoghar, Jharkhand 814 142, India
2 Dept. of EEE, Birla Institute of Technology Mesra, Ranchi, Jharkhand 835 215, India
3 C.V. Raman Global University, Bidyanagar, Bhubaneswar, Odisha 752 054, India

Fractional Order controllers have been extensively applied to various fields of science and engineering, since several decades, because of the ability to control more parameters and consequent better control. However, to achieve this advantage, proper tuning of the associated parameters plays an important role. To achieve this objective, this paper employs a multi-agent symbiotic organisms search (MASOS) algorithm for appropriately tuning the parameters of fractional order proportional-integral-derivative (FOPID) controller for stabilizing a magnetic levitation plant (MLP) with time delay. Three different FOPID controllers have been precisely tuned and their performance has been evaluated and compared in this paper. The results demonstrate that the I-PD configuration produces the best performance in terms of time domain as well as frequency domain specifications, when compared with the other configurations.
User
Notifications
Font Size

Abstract Views: 113




  • A Comparative Performance Assessment of Evolutionary Fractional Order PID Controllers for Magnetic Levitation Plant with Time Delay

Abstract Views: 113  | 

Authors

Deep Shekhar Acharya
Dept. of EEE, Birla Institute of Technology Mesra, Off-Campus Deoghar, Deoghar, Jharkhand 814 142, India
Sudhansu Kumar Mishra
Dept. of EEE, Birla Institute of Technology Mesra, Ranchi, Jharkhand 835 215, India
Ganapati Panda
C.V. Raman Global University, Bidyanagar, Bhubaneswar, Odisha 752 054, India

Abstract


Fractional Order controllers have been extensively applied to various fields of science and engineering, since several decades, because of the ability to control more parameters and consequent better control. However, to achieve this advantage, proper tuning of the associated parameters plays an important role. To achieve this objective, this paper employs a multi-agent symbiotic organisms search (MASOS) algorithm for appropriately tuning the parameters of fractional order proportional-integral-derivative (FOPID) controller for stabilizing a magnetic levitation plant (MLP) with time delay. Three different FOPID controllers have been precisely tuned and their performance has been evaluated and compared in this paper. The results demonstrate that the I-PD configuration produces the best performance in terms of time domain as well as frequency domain specifications, when compared with the other configurations.