The Experts below are selected from a list of 126 Experts worldwide ranked by ideXlab platform

Kittipong Boonlong - One of the best experts on this subject based on the ideXlab platform.

  • road profile identification by genetic algorithm with multistage search using vibration response of a Quarter Vehicle Model
    International Journal of Integrated Engineering, 2019
    Co-Authors: Puttha Jeenkour, Kittipong Boonlong
    Abstract:

    Vehicle performance is affected by road profile since the road profile supplies vibration to the Vehicle. The road profile can be identified by vibration response of the Vehicle. By using the vibration response, road profile identification can be, in fact, formulated as a single-objective optimization in which an objective, a minimization criterion, is the numerical difference between Vehicle vibration response of actual road profile and that of predicted road profile. This paper present multistage search in genetic algorithm (GA), an optimization algorithm, in the road profile identification. In the multistage search, a solution is divided into a number of parts and each part is consequently evolved as GA process separately from other parts. A Quarter Vehicle Models with two test cases of double bump on road profiles are used. Simulation runs reveal that the multistage search can enhance performance of GA. In addition, the multistage search using the least number of decision variables in each solution part gives the best results of the optimized solutions.

Luc Dugard - One of the best experts on this subject based on the ideXlab platform.

  • An LPV Control Approach for Semi-active Suspension Control with Actuator Constraints
    2010
    Co-Authors: Olivier Sename, Luc Dugard
    Abstract:

    This paper presents a new solution for the semi-active suspension control problem. First, a Quarter Vehicle Model equipped with a semi-active damper is reformulated in the LPV framework using the nonlinear static semi-active damper Model. This formulation allows to turn the control problem with dissipativity constraint into that with input saturation. Then the damper force saturation is taken into account in an original LPV fashion. This leads to the definition of a new LPV Model with two parameters which is handled in a polytopic way. The $H_{\infty}$ control design for polytopic systems is then applied. The interest of the provided methodology is emphasized by simulations on a nonlinear Vehicle Model.

  • a self tuning suspension controller for multi body Quarter Vehicle Model
    IFAC Proceedings Volumes, 2008
    Co-Authors: Charles Poussotvassal, Olivier Sename, Luc Dugard, A Drivet, Ricardo A Ramirezmendoza
    Abstract:

    Abstract In this paper we derive both LTI (Linear Time Invariant) and LPV (Linear Parameter Varying) controllers according to the H ∞ methodology, based on a simple two degree-of-freedom Quarter Vehicle Model using an industrial criterion to handle the compromise between comfort and suspension deflection. As such a Model is very simplified, a validation of these control designs is performed on a multi-body dynamical Model of the Quarter Vehicle, much closer to a realistic car which makes the solution interesting for implementation issues.

  • a self tuning lpv hinf suspension controller for a multi body Quarter Vehicle Model
    20th Symposium of the International Association for Vehicle System Dynamics IAVSD 2007, 2007
    Co-Authors: Charles Poussotvassal, Olivier Sename, Luc Dugard, A Drivet, Ricardo A Ramirezmendoza
    Abstract:

    In this paper we derive LTI and LPV/Hinf controllers, based on a simple Quarter Vehicle Model using an industrial criterion to handle the compromise between comfort and suspension deflection. As such a Model is very simplified, a validation of these control designs is done on a Multi-body dynamical Model of the Quarter Vehicle, much closer to a realistic car.

Puttha Jeenkour - One of the best experts on this subject based on the ideXlab platform.

  • road profile identification by genetic algorithm with multistage search using vibration response of a Quarter Vehicle Model
    International Journal of Integrated Engineering, 2019
    Co-Authors: Puttha Jeenkour, Kittipong Boonlong
    Abstract:

    Vehicle performance is affected by road profile since the road profile supplies vibration to the Vehicle. The road profile can be identified by vibration response of the Vehicle. By using the vibration response, road profile identification can be, in fact, formulated as a single-objective optimization in which an objective, a minimization criterion, is the numerical difference between Vehicle vibration response of actual road profile and that of predicted road profile. This paper present multistage search in genetic algorithm (GA), an optimization algorithm, in the road profile identification. In the multistage search, a solution is divided into a number of parts and each part is consequently evolved as GA process separately from other parts. A Quarter Vehicle Models with two test cases of double bump on road profiles are used. Simulation runs reveal that the multistage search can enhance performance of GA. In addition, the multistage search using the least number of decision variables in each solution part gives the best results of the optimized solutions.

Ricardo A Ramirezmendoza - One of the best experts on this subject based on the ideXlab platform.

  • a self tuning suspension controller for multi body Quarter Vehicle Model
    IFAC Proceedings Volumes, 2008
    Co-Authors: Charles Poussotvassal, Olivier Sename, Luc Dugard, A Drivet, Ricardo A Ramirezmendoza
    Abstract:

    Abstract In this paper we derive both LTI (Linear Time Invariant) and LPV (Linear Parameter Varying) controllers according to the H ∞ methodology, based on a simple two degree-of-freedom Quarter Vehicle Model using an industrial criterion to handle the compromise between comfort and suspension deflection. As such a Model is very simplified, a validation of these control designs is performed on a multi-body dynamical Model of the Quarter Vehicle, much closer to a realistic car which makes the solution interesting for implementation issues.

  • a self tuning lpv hinf suspension controller for a multi body Quarter Vehicle Model
    20th Symposium of the International Association for Vehicle System Dynamics IAVSD 2007, 2007
    Co-Authors: Charles Poussotvassal, Olivier Sename, Luc Dugard, A Drivet, Ricardo A Ramirezmendoza
    Abstract:

    In this paper we derive LTI and LPV/Hinf controllers, based on a simple Quarter Vehicle Model using an industrial criterion to handle the compromise between comfort and suspension deflection. As such a Model is very simplified, a validation of these control designs is done on a Multi-body dynamical Model of the Quarter Vehicle, much closer to a realistic car.

Mert Sever - One of the best experts on this subject based on the ideXlab platform.