Optimal design of fractional-order digital integrators:An evolutionary approach

Document Type: Article

Authors

1 Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India

2 Department of Electronics and Telecomm Engineering, National Institute of Technology, Raipur, Chhattisgarh, India

Abstract

This paper presents an optimal approach to design Fractional-Order Digital Integrators (FODIs) using a metaheuristic technique, called Hybrid Flower Pollination Algorithm (HFPA). HFPA is a hybrid approach which combines the exploitation and exploration capabilities of two di erent evolutionary optimization algorithms, namely, Particle Swarm Optimization (PSO) and Flower Pollination Algorithm (FPA). The proposed HFPA based designs are compared with the designs based on Real Coded Genetic Algorithm (RGA), PSO, Di erential Evolution (DE), and FPA. Simulation results demonstrate that HFPA based FODIs of all the di erent orders consistently achieve the best magnitude responses. The proposed technique yields FODIs which surpass all the designs based on both classical and evolutionary optimization approaches reported in recent literature.

Keywords

Main Subjects



Volume 25, Issue 6
Transactions on Computer Science & Engineering and Electrical Engineering (D)
November and December 2018
Pages 3604-3627