A Bioinspired Dynamics-Based Adaptive Tracking Control for Nonlinear Suspension Systems

This paper investigates the energy-efficiency design of adaptive control for active suspension systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear suspension systems. In many existing techniques, one importan...

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Vydáno v:IEEE transactions on control systems technology Ročník 26; číslo 3; s. 903 - 914
Hlavní autoři: Pan, Huihui, Jing, Xingjian, Sun, Weichao, Gao, Huijun
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Active control
Active suspension systems
Adaptive control
Adaptive systems
Automotive parts
bioinspired dynamics
Biological system modeling
Biomimetics
Dynamic stability
Dynamical systems
Energy consumption
energy efficiency
Nonlinear control
Nonlinear dynamical systems
Nonlinear dynamics
Nonlinear systems
Nonlinearity
Passenger comfort
Random excitation
Stability analysis
Stiffness
Suspension systems
Suspensions
Tracking control
Vehicle dynamics
Vibrations
ISSN:1063-6536, 1558-0865
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Shrnutí:This paper investigates the energy-efficiency design of adaptive control for active suspension systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear suspension systems. In many existing techniques, one important effort is used for canceling vibration energy transmitted by suspension inherent nonlinearity to improve ride comfort. Unlike existing methods, the proposed approach takes full advantage of beneficial nonlinear stiffness and damping characteristics inspired by the limb motion dynamics of biological systems to achieve advantageous nonlinear suspension properties with potentially less energy consumption. The stability analysis of the desired bioinspired nonlinear dynamics is conducted within the Lyapunov framework. Theoretical analysis and simulation results reveal that the proposed bioinspired nonlinear dynamics-based adaptive controller has a significant impact on the amount of energy consumption, considering the same basic control method and random excitation of road irregularity for a similar ride comfort performance.
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ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2017.2699158