Control Strategies in the Design of Automotive Suspension Systems

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Control Strategies in the Design of Automotive Suspension Systems

Kashem, Saad / Nagarajah, Romesh / Ektesabi, Mehran

Abstract In the literature available, many robust and optimal control approaches or algorithms were found in the design of automotive suspension systems. In this chapter, some of these will be reviewed such as the linear time-invariant H-infinity control (LTIH), the linear parameter-varying control (LPV) and model-predictive controls (MPC). Five widely known control approaches, namely, the linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG), sliding mode control (SMC), fuzzy and neuro-fuzzy control, skyhook and groundhook approaches, are reviewed more deeply. Since the damper plays an important role in the semi-active suspension system design, different types of damper technologies are discussed in the second section. This includes the Quanser electromagnetic damper that was used in the experimental analysis in this manuscript. Another major objective of this manuscript is to tilt the standard passenger vehicle inward during cornering. So a brief literature review on automotive tilting technology is included in the last section.