Adaptive synchronization control based on prescribed performance for dual-motor drive system

Gear wear, backlash, and parameter uncertainties in dual-motor drive systems cause dead-zone nonlinearity and model mismatches, leading to torque discontinuities and degraded tracking. To address these issues, a novel prescribed-performance adaptive synchronization control strategy is proposed. The dead-zone nonlinearity is handled by a continuous function approximation to simplify controller design, while an improved prescribed performance function is introduced to transform constrained dynamics into an unconstrained form, which guaranteeing transient performance. The backstepping framework, incorporating a novel differentiator, circumvents the differential explosion problem. Furthermore, adaptive laws are developed to online estimate uncertain transmission parameters, effectively compensating for bias torque disturbances caused by backlash. Lyapunov analysis proves the asymptotic stability of the closed-loop system. Experimental results demonstrate that the proposed method significantly enhances position tracking performance and suppresses torque oscillations.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Published
2026-06-09
DOI
https://doi.org/10.1177/09596518261455945
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Adaptive synchronization control based on prescribed performance for dual-motor drive system

Zhikai Wang, Bo Fan, Ke Wang, Guoxing Huang
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Iterative Learning Control Systems
article

Adaptive synchronization control based on prescribed performance for dual-motor drive system

Zhikai Wang, Bo Fan, Ke Wang, Guoxing Huang
article en

Abstract

Gear wear, backlash, and parameter uncertainties in dual-motor drive systems cause dead-zone nonlinearity and model mismatches, leading to torque discontinuities and degraded tracking. To address these issues, a novel prescribed-performance adaptive synchronization control strategy is proposed. The dead-zone nonlinearity is handled by a continuous function approximation to simplify controller design, while an improved prescribed performance function is introduced to transform constrained dynamics into an unconstrained form, which guaranteeing transient performance. The backstepping framework, incorporating a novel differentiator, circumvents the differential explosion problem. Furthermore, adaptive laws are developed to online estimate uncertain transmission parameters, effectively compensating for bias torque disturbances caused by backlash. Lyapunov analysis proves the asymptotic stability of the closed-loop system. Experimental results demonstrate that the proposed method significantly enhances position tracking performance and suppresses torque oscillations.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Shandong University of Technology (CN), Henan University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Iterative Learning Control Systems
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Adaptive synchronization control based on prescribed performance for dual-motor drive system — Zhikai Wang, Bo Fan, et al. · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering (2026) | TGRS Research Map | TGRS