Road-frequency adaptive control for semi-active suspension systems

Nguyen, Le Hoa; Hong, Keum–Shik; Park, Seonghun

doi:10.1007/s12555-010-0512-1

Cited by 42 publications

(20 citation statements)

References 27 publications

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“…Based on disturbance velocity, the zero-crossing method can be applied to estimate the main frequency of the disturbance signals [24]. The firstorder main frequency of a system can be estimated by detecting three consecutive zero-crossings.…”

Section: Disturbance Frequencymentioning

confidence: 99%

A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

Han¹,

Chao²,

Liu³

2017

Shock and Vibration

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The riding conditions for a high-speed tracked vehicle are quite complex. To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. A mathematical model of the semiactive, self-adaptive hybrid suspension control system, along with a performance evaluation function, was established. Based on a two-degree-of-freedom (DOF) suspension system, the kinematic relations and frequency zero-crossing detection method were defined, and expressions for the disturbance velocity and disturbance frequency of the road were obtained. Optimal scheduling of the semiactive hybrid damping control gain ( sky , ground , hybrid ) and selfadaptive control gain ( V ) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. An experimental study using a carefully designed test rig was performed under a number of typical riding conditions of tracked vehicles, and the results showed that the proposed control strategy is capable of accurately recognizing different disturbances, shifting between control modes (semiactive/self-adaptive), and scheduling the damping control gain according to the disturbance identification outcomes; hence, the proposed strategy could achieve a good trade-off between ride comfort and ride safety and efficiently increase the overall performance of the suspension under various riding conditions.

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Section: Disturbance Frequencymentioning

confidence: 99%

A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

Han¹,

Chao²,

Liu³

2017

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…The suspension is the most important part of the multi-function stylus profiling instrument, as it affects both the static and dynamic behavior of the measurement system [11][12][13][14][15][16] . Among the designs of the suspensions, cross-shaped 11,17 and crab-legged 18-21 flexure structures have been widely utilized to support the stylus.…”

Section: Development Of a Novel 3-dof Suspension Mechanism For Multi-mentioning

confidence: 99%

Development of a novel 3-DOF suspension mechanism for multi-function stylus profiling systems

Tian

Guo

et al. 2016

Int. J. Precis. Eng. Manuf.

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“…The dynamic equations of the model shown in Figure 1 Taking Laplace transforms for (10), transfer functions for the acceleration of sprung mass, displacement of unsprung mass, tyre force, and rattle space with respect to road input can be expressed as follows:…”

Section: System Model and Response To Road Excitationmentioning

confidence: 99%

“…Since the first semiactive suspension control strategy, skyhook control, which was proposed in the 1970s, a large number of innovative control strategies have been proposed to improve the criterions mentioned above. Prominent examples of such strategies include the groundhook [9,10], robust control [11], and MPC (Model Predictive Control) [12,13]. To evaluate the performance of a vehicle suspension system, three criterions are widely used [6,[14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation

Qin

Dong

Langari

et al. 2015

Shock and Vibration

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A new road estimation based suspension hybrid control strategy is proposed. Its aim is to adaptively change control gains to improve both ride comfort and road handling with the constraint of rattle space. To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem) and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II). A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System) and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. The results of simulations conducted with random road excitation show that the efficiency of the proposed control strategy compares favourably to that of a passive system.

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Road-frequency adaptive control for semi-active suspension systems

Cited by 42 publications

References 27 publications

A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

Development of a novel 3-DOF suspension mechanism for multi-function stylus profiling systems

Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation

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