Research Area:  Metaheuristic Computing

Abstract:

In this work, fractional order proportional integral derivative controller (FOPIDC) is proposed and implemented for speed control of electric machines using nature-inspired metaheuristic optimization algorithm (MOA) named as flower pollination algorithm (FPA). Investigations are performed by considering the second-order transfer function of D.C Motor. FOPIDC constants , , , , and are optimized by considering FPA. The desired response of the electric machine is obtained by using tuned parameters of FOPIDC. After that, FOPIDC response using FPA is compared with PIDC response using FPA in the sense of time-domain specifications and performance indices (PI) like ‘integral of square error (ISE), integral of time-weighted square error (ITSE), integral of absolute error (IAE) and integral of time-weighted absolute error (ITAE)’. Finally, the desired response of electric machine using FPA based FOPIDC is compared with desired response of electric machine using firefly algorithm (FA) and particle swarm optimization (PSO) algorithm based FOPIDC.

Keywords:  
D. C Motor speed control
Firefly algorithm
Flower pollination algorithm
FOPID controller
performance indices
PSO

Author(s) Name:  Tirumalasetty Chiranjeevi , Naladi Ram Babu , Ankit Yadav , Vijay Kumar Das , Shyama Charan Prasad , Amardeep Sonkar , Sachin Kumar Verma

Publisher name:  Elsevier

DOI:  10.1016/j.gltp.2021.08.057

Volume Information:  Volume 2

Paper Link:   https://www.sciencedirect.com/science/article/pii/S2666285X21000856