Parameter estimation of Pendubot model using modified differential evolution algorithm. (3rd July 2019)

• Record Type: Journal Article
• Authors: Nguyen, Ngoc Son; Nguyen, Duy Khanh
• Is Part Of: International journal of modelling & simulation. Volume 39:Number 3(2019)
• Page Start: 157
• Page End: 165
• Publication Date: 2019-07-03
• Subjects: Differential evolution -- improved differential evolution -- pendubot system -- parameter estimation; Mathematical models -- Periodicals; Simulation methods -- Periodicals; Mathematical models; Simulation methods; Periodicals; 003.3
• DOI: 10.1080/02286203.2018.1525938
• Languages: English
• ISSNs: 0228-6203

Abstract

ABSTRACT: Parameter estimation plays a critical role in accurately describing system behavior through mathematical models such as a parametric dynamic model. In this paper, a modified differential evolution (MDE) algorithm is proposed to identify the parametric dynamic model of a Pendubot system with friction. In the MDE algorithm, the improvement is to focus on the mutation phase with a new mutation scheme in which multi-mutation operators are used, including rand/1 and best/1 for selecting target vectors in population. The performance of the MDE algorithm is tested on a set of fourth benchmark functions, and it is compared with the other algorithms such as a traditional differential evolution (DE), a hybrid DE (HDE) algorithm and a particle swarm optimization (PSO). The MDE algorithm is then used to identify the Pendubot' parameters accurately. Experimental results demonstrate the high performance of the proposed method regarding robustness and accuracy.