A comparative study of DC servo motor parameter estimation using various techniques. (3rd April 2022)

• Record Type: Journal Article
• Authors: Batool, Ashna; Ain, Noor ul; Amin, Arslan Ahmed; Adnan, Muhammad; Shahbaz, Muhammad Hamza
• Is Part Of: Automatika. Volume 63:Number 2(2022)
• Page Start: 303
• Page End: 312
• Publication Date: 2022-04-03
• Subjects: DC servo motor -- Parameter estimation -- Design optimization toolbox -- Parameter estimation toolbox -- DC motor first-principle model -- Comparing coefficient method; Automatic control -- Periodicals; 629.805
• DOI: 10.1080/00051144.2022.2036935
• Languages: English
• ISSNs: 0005-1144

Abstract

Abstract : A lot of research is being carried out on the Direct Current (DC) servo motor systems due to their excessive applications in various industrial sectors owing to their superior control performance. Parameters of the DC servo motor systems to be used in the simulation software are usually unknown or change with time and have to be determined accurately for obtaining the precise simulation response. In this paper, three different estimation techniques for multi-domain DC servo motor model parameters are discussed namely the Compare Coefficient Method, MATLAB Parameter Estimation Toolbox, and System Identification Toolbox. The paper performs a comparison of these methods to identify the one that gives the most accurate results. Experimental data has been used for the comparison of the estimated response from the techniques. The results show that the parameters obtained from the parameter estimation method give the most accurate simulation results with the least error against the experimental results. The study is significant for guiding researchers to prefer this method for estimation purposes of DC servo motor simulation model parameters. The presented technique, i.e. parameter estimation technique, is relatively less complex and requires less computational cost as compared to other techniques found in the literature.