Intelligent Control of Active Suspension Systems

Lin, Jeen; Lian, Ruey-Jing

doi:10.1109/tie.2010.2046581

Cited by 109 publications

(46 citation statements)

References 27 publications

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“…Figures (4)(5) show the comparison between the outputs response of full vehicle active suspension system with PID controller and the passive suspension system, where the road profile is selected as square inputs. …”

Section: Number Of Food Sources(fs) 50mentioning

confidence: 99%

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Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Aldair¹,

Abdalla²,

Alsaedee³

2017

IJCA

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This paper present a modeling and control of the nonlinear full vehicle active suspension system with passenger seat utilizing PID with artificial bee colony (ABC) algorithm technique. Five PID controllers are used . The main objective of designing the controller is to improve the performance of suspension system , while the aim of suspension system in automobiles is to isolate the road disturbance experienced by the tires from being transmitted to the passengers. The effects of the nonlinear forces which come from damper, spring , actuator and parametric uncertainty in the spring, damper and actuator has been considered, therefore robust control is utilized. The MATLAB environment is utilized to determine the performance of the proposed control scheme. A comparison is performed to illustrate the effectiveness of PID-ABC controller in terms of modifying the ride comfort and the safety of travelling passengers. KeywordsArtificial bee colony algorithm PID control tuning, eight degrees of freedom vehicle model, non linear active suspensions, Matlab/Simulink, simulation.

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Section: Number Of Food Sources(fs) 50mentioning

confidence: 99%

“…The intelligent or active suspension system includes control strategies, sensor technology and actuators . By using this arrangement, the significant achievements in vehicle response can be carried out [3,4].…”

Section: Introductionmentioning

confidence: 99%

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Aldair¹,

Abdalla²,

Alsaedee³

2017

IJCA

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show abstract

“…These control designs are all based on the solution of an optimization problem, in which the choice of the optimization time horizon is crucial. Other control methods, such as sliding mode [6], [7], [8], machine learning [9], [10] and fuzzy logics [11], [12], [13], have also been explored and implemented. In addition, [14] has proposed a navigation algorithm based on 9 subsystems generated from step responses in various operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Shared-Control for a Rear-Wheel Drive Car: Dynamic Environments and Disturbance Rejection

Jiang

Astolfi

2017

IEEE Trans. Human-Mach. Syst.

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Abstract-This paper studies the shared-control problem for the kinematic model of a group of rear-wheel drive cars in a (possibly) dynamic (i.e. time-varying) environment. The design of the shared-controller is based on measurements of distances to obstacles, angle differences and the human input. The sharedcontroller is used to guarantee the safety of the car when the driver behaves "dangerously". Formal properties of the closedloop-system with the shared-controller are presented through a Lyapunov-like analysis. In addition, we consider uncertainties in the dynamics and prove that the shared-controller is able to help the driver drive the car safely even in the presence of disturbances. Finally, the effectiveness of the controller is verified by two case studies: traffic at a junction and at a roundabout.

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“…Some of the works also combine fuzzy logic control with other algorithms, for example, sliding-mode controls [9], adaptive rules [10], PID controls [11], machine learning [12] or neural networks [13]. However, controllers designed for linearized models are suitable locally and fuzzy logic controls suffer from safety issues since no theoretical proof is given for system stability.…”

Section: Introductionmentioning

confidence: 99%

Shared-control for the kinematic model of a rear-wheel drive car

Jiang

Astolfi

2015

2015 American Control Conference (ACC)

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Abstract-This paper presents a shared-control algorithm for the kinematic model of a rear-wheel drive car, for which the set of feasible Cartesian positions is defined by a group of linear inequalities. The shared-control scheme is based on a hysteresis switch and its properties are established by a Lyapunov-like analysis. Simple numerical examples demonstrate the effectiveness of the shared-control law.

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Intelligent Control of Active Suspension Systems

Cited by 109 publications

References 27 publications

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Shared-Control for a Rear-Wheel Drive Car: Dynamic Environments and Disturbance Rejection

Shared-control for the kinematic model of a rear-wheel drive car

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