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CLC number: TP273; TB535

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2014-09-17

Cited: 3

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2014 Vol.15 No.10 P.848-860

http://doi.org/10.1631/jzus.C14a0027


Advances in the control of mechatronic suspension systems


Author(s):  Wajdi S. Aboud, Sallehuddin Mohamed Haris, Yuzita Yaacob

Affiliation(s):  Centre for Automotive Research, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Malaysia; more

Corresponding email(s):   wajdisadik@gmail.com, salleh@eng.ukm.my, yy@ftsm.ukm.my

Key Words:  Mechatronics, Active suspensions, Semi-active suspensions, Multiple model adaptive control



Abstract: 
The suspension system is a key element in motor vehicles. Advancements in electronics and microprocessor technology have led to the realization of mechatronic suspensions. Since its introduction in some production motorcars in the 1980s, it has remained an area which sees active research and development, and this will likely continue for many years to come. With the aim of identifying current trends and future focus areas, this paper presents a review on the state-of-the-art of mechatronic suspensions. First, some commonly used classifications of mechatronic suspensions are presented. This is followed by a discussion on some of the actuating mechanisms used to provide control action. A survey is then reported on the many types of control approaches, including look-ahead preview, predictive, fuzzy logic, proportional–integral–derivative (PID), optimal, robust, adaptive, robust adaptive, and switching control. In conclusion, hydraulic actuators are most commonly used, but they impose high power requirements, limiting practical realizations of active suspensions. Electromagnetic actuators are seen to hold the promise of lower power requirements, and rigorous research and development should be conducted to make them commercially usable. Current focus on control methods that are robust to suspension parameter variations also seems to produce limited performance improvements, and future control approaches should be adaptive to the changeable driving conditions.

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