Fuzzy and adaptive fuzzy control for the automobiles’ active suspension system

Sharkawy, Abdel Badie

doi:10.1080/00423110500097783

Cited by 68 publications

(37 citation statements)

References 9 publications

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“…Besides combining the advantages of control approaches has a great interest in recent years and several studies have been conducted for both vehicle suspension systems and different engineering applications [27][28][29][30]. Furthermore, one of the most popular aims of control stated in the literature is improving the ride comfort [1,8,13,17,23,25,26,30,31]. In this context, a nonlinear half-vehicle model is presented, and an HFPIDCR approach is chosen as a controller for improving the ride quality.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

2011

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Modeling and control of vehicle suspension system are high noteworthy from safety to comfort. In this paper, an analytical nonlinear half-vehicle model which is included quadratic tire stiffness, cubic suspension stiffness, and coulomb friction is derived based on fundamental physics. A hybrid fuzzy logic approach which combines fuzzy logic and PID controllers is designed for reducing the vibration levels of passenger seat and vehicle body. Performances of designed controllers have been evaluated by numerical simulations. Comparisons with classical PID control, Fuzzy Logic Control (FLC) and Hybrid Fuzzy-PID control (HFPID) have also been provided. Results of numerical simulations are evaluated in terms of time histories of displacement and acceleration responses and ride index comparison. A good performance for the Hybrid Fuzzy-PID controller with coupled rules (HFPIDCR) is achieved in simulation studies despite the nonlinearities.

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Section: Introductionmentioning

confidence: 99%

“…Optimization of a vehicle fuzzy active suspension system is presented to improve ride comfort. Sharkawy [26] applied fuzzy and adaptive fuzzy control for the active suspension system. The design objective of the controllers are providing good road handling and increasing the passenger comfort.…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

2011

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“…The primary requirements of a good vehicle suspension design are possession of good ride comfort, road handling and road holding characteristics within an acceptable suspension travel range [1], [2], [3], [4]. The conflicting nature of these design objectives makes obtaining a trade-off between them necessary.…”

Section: Introductionmentioning

confidence: 99%

Direct adaptive neural control of a quarter-car active suspension system

2011

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This paper presents the design and implementation of a direct adaptive neural network (DANN) based feedback linearization controller for a two degree of freedom (2DOF), quarter-car active vehicle suspension system (AVSS). The main objective is to improve ride comfort and handling quality. The constant gain PID controller (based on Ziegler-Nichols tuning method) is used to benchmark the DANN controller during a suspension travel sinusoidal set point tracking in the presence of deterministic road disturbance. The maximum sprung mass acceleration of the DANN controller was about 2.723ms-2, for the PID, it was 2.676ms-2• The tire deflection was approximately 5mm and 4mm for the DANN and the PID controllers. The per formance of the DANN controller was achieved at a marginally higher cost of the control input.

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“…Kuo and Li [8] proposed genetic-algorithm optimized fuzzy proportional-plus-integral/proportionalplus-derivative controller in automotive active suspension system. Sharkawy [9] implemented a fuzzy and adaptive fuzzy control in active suspension system to achieve two different criteria related to road holding and vehicle ride comfort. Mouleeswaran [10] showed the improved performance of PID controller in active quarter car model related to the passenger ride comfort and vehicle handling issues compared to passive one through simulation results.…”

Section: Related Workmentioning

confidence: 99%

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

Faridabad¹,

Haryana²

2018

IJISA

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Abstract-The objective of this paper is to improve the passenger ride comfort and safety in an active quarter car model. For this purpose, a quarter car model with passenger body and seat is considered to capture the dynamic behaviour of a real complete car system. To achieve the desired target, two different controllers such as Adaptive Neuro Fuzzy (ANFIS) controller and Hybrid ANFIS PID controller (HANFISPID) are designed. The controllers selection and design was aimed to achieve good passenger ride comfort and health, taking passenger body acceleration and displacement response under random road excitations. The performance of designed controllers are evaluated using simulation work in time and frequency domain. Simulation results show that the proposed HANFISPID control scheme can succesfully achieve the desired ride comfort and safety of passenger compared to passive and ANFIS controlled cases in an active quarter car model.

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Fuzzy and adaptive fuzzy control for the automobiles’ active suspension system

Cited by 68 publications

References 9 publications

Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

Direct adaptive neural control of a quarter-car active suspension system

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

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