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    Model Predictive Control of a Multi-Mode Suspension System Using Preview Information and Weight Optimization

    Source: Journal of Dynamic Systems, Measurement, and Control:;2023:;volume( 145 ):;issue: 006::page 65001-1
    Author:
    Batta, Nathan A.
    ,
    Doscher, Daniel P.
    DOI: 10.1115/1.4062286
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study examines the effectiveness of a model predictive controller (MPC) on the multimode active suspension concept to reduce driver absorbed power. A multimode suspension uses additional degrees-of-freedom beyond a traditional active suspension. This allows the suspension to address disturbances with multiple frequencies when coupled with a noncausal control scheme such as MPC. A half-car model is developed by placing both active and passive components in series to mitigate high and low frequency disturbances at the tire-road interface. A stepwise MPC with preview information is applied to the model to measure an incoming disturbance. The model includes noise in state feedback and preview information. A Kalman filter addresses process and measurement noise while the preview information is filtered using an exponential moving average. Process and Measurement noise are considered to be known. Four disturbance profiles are examined: step, two-mode, three-mode, and an ISO8608 Class D profile. Weights used for the MPC process are optimized for each profile according to an objective function based on driver absorbed power. For each profile the response for uncontrolled, controlled, and controlled with preview is examined to assess effectiveness of the multimode suspension. Results demonstrate the utility of the multimode suspension supplemented with MPC for each profile. Driver absorbed power decreases by 68%, 99%, 73%, and 89% for the step, two-mode, three-mode, and ISO8608 Class D profile, respectively. Examination of the natural, disturbance, and forcing frequencies suggests that the MPC accounts for the damped natural frequencies of the system in response to incoming disturbances. The system shows potential to improve performance of vehicles traversing extreme terrain or maintaining a stable chassis for a variety of applications. Future work includes examination of the relationship between the damped natural frequencies, the disturbance, and the resulting control law.
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      Model Predictive Control of a Multi-Mode Suspension System Using Preview Information and Weight Optimization

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    contributor authorBatta, Nathan A.
    contributor authorDoscher, Daniel P.
    date accessioned2023-11-29T19:51:12Z
    date available2023-11-29T19:51:12Z
    date copyright4/24/2023 12:00:00 AM
    date issued4/24/2023 12:00:00 AM
    date issued2023-04-24
    identifier issn0022-0434
    identifier otherds_145_06_065001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295071
    description abstractThis study examines the effectiveness of a model predictive controller (MPC) on the multimode active suspension concept to reduce driver absorbed power. A multimode suspension uses additional degrees-of-freedom beyond a traditional active suspension. This allows the suspension to address disturbances with multiple frequencies when coupled with a noncausal control scheme such as MPC. A half-car model is developed by placing both active and passive components in series to mitigate high and low frequency disturbances at the tire-road interface. A stepwise MPC with preview information is applied to the model to measure an incoming disturbance. The model includes noise in state feedback and preview information. A Kalman filter addresses process and measurement noise while the preview information is filtered using an exponential moving average. Process and Measurement noise are considered to be known. Four disturbance profiles are examined: step, two-mode, three-mode, and an ISO8608 Class D profile. Weights used for the MPC process are optimized for each profile according to an objective function based on driver absorbed power. For each profile the response for uncontrolled, controlled, and controlled with preview is examined to assess effectiveness of the multimode suspension. Results demonstrate the utility of the multimode suspension supplemented with MPC for each profile. Driver absorbed power decreases by 68%, 99%, 73%, and 89% for the step, two-mode, three-mode, and ISO8608 Class D profile, respectively. Examination of the natural, disturbance, and forcing frequencies suggests that the MPC accounts for the damped natural frequencies of the system in response to incoming disturbances. The system shows potential to improve performance of vehicles traversing extreme terrain or maintaining a stable chassis for a variety of applications. Future work includes examination of the relationship between the damped natural frequencies, the disturbance, and the resulting control law.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModel Predictive Control of a Multi-Mode Suspension System Using Preview Information and Weight Optimization
    typeJournal Paper
    journal volume145
    journal issue6
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4062286
    journal fristpage65001-1
    journal lastpage65001-10
    page10
    treeJournal of Dynamic Systems, Measurement, and Control:;2023:;volume( 145 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian