Control of incommensurate sinusoids using enhanced adaptive filtering algorithm based on sliding mode approach

• Published in: Journal of vibration and control Vol. 19; no. 8; pp. 1265 - 1280
• Main Authors: Kim, Byeongil, Washington, Gregory N, Singh, Rajendra
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01-06-2013; SAGE PUBLICATIONS, INC
• Subjects: Active control; Adaptive filters; Algorithms; Amplitudes; Control systems; Convergence; Feedback control systems; Sliding mode control; Vibration; experimental studies; least mean squares algorithm; sliding mode control; Active vibration suppression
• ISSN: 1077-5463; 1741-2986
• DOI: 10.1177/1077546312444659

This article focuses on the active control of a combination of incommensurate sinusoids and its subsets. Two sliding mode control (SMC) algorithms are proposed to enhance the conventional least mean squares (LMS) algorithm maintaining its inherent advantages. The SMC is utilized to update the filter coefficients, and a feedback loop with the SMC is introduced in the adaptive filtering system. The proposed methods are evaluated for several cases by comparing the results with the LMS algorithm. An experiment with an active strut is also constructed and longitudinal vibrations excited by an amplitude modulated type signal are measured before and after the control for each adaptive filtering algorithm. Overall, the proposed algorithms demonstrate faster convergence and reduce amplitudes at multiple peaks even when only one frequency is targeted.