Smart structural design and adaptive control of composite active anti-roll bars: A review

The Active Anti-Roll Bar (AARB) is evolving from hydraulic and electromechanical actuation toward lightweight, Carbon Fiber Reinforced Polymer (CFRP) smart structures. However, a fundamental theoretical conflict exists: the concealed, time-variant degradation of torsional stiffness in CFRP bars under cyclic loading contradicts the constant-parameter assumption in classical robust control. This degradation creates an unobservable parameter drift that jeopardizes long-term handling stability. To resolve this, this review proposes a “Material-Sensing-Control” integrated paradigm. We systematically review the feasibility of converting Structural Health Monitoring (SHM) data into observable state parameters via a probabilistic Digital Twin model. This transformation bridges the gap between material mechanics and control theory, driving the strategy from passive robust control to Adaptive Fault-Tolerant Control (FTC). Finally, a roadmap is outlined for achieving the “Material-Structure-Sensing-Control” integration, identifying core breakthroughs required for the reliability of next-generation intelligent chassis systems.