{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T23:07:44Z","timestamp":1782860864297,"version":"3.54.5"},"reference-count":40,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Technologies Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB0106200"],"award-info":[{"award-number":["2018YFB0106200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper proposes a model predictive control (MPC) scheme based on linear parameter variation to enhance the damping control of speed-dependent active suspensions. The controller is developed by introducing a speed-dependent term, specifically front- and rear-wheel time delays, to the half-car model using the Pad\u00e9 approximation. Subsequently, the model is augmented with time-varying parameter dependence. An adaptive Kalman filter based on variance matching is employed to estimate system states affected by imprecise sensor measurement noise. Finally, a set of explicit control laws incorporating road preview information and available vehicle speed are determined offline using multi-parameter linear programming (mp-LP), simplifying online implementation to searching for optimal solutions in a lookup table. Simulation results demonstrate a significant improvement in active suspension control under changing vehicle speeds compared to passive control.<\/jats:p>","DOI":"10.3390\/s24072255","type":"journal-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T05:42:43Z","timestamp":1711950163000},"page":"2255","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Model Predictive Control for Speed-Dependent Active Suspension System with Road Preview Information"],"prefix":"10.3390","volume":"24","author":[{"given":"Qiangqiang","family":"Li","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyong","family":"Chen","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haisheng","family":"Song","sequence":"additional","affiliation":[{"name":"The Vehicle and Traffic Engineering, Henan Institute of Technology School, Zhengzhou 453003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yahui","family":"Dong","sequence":"additional","affiliation":[{"name":"Shaanxi Heavy Duty Automobile, Xi\u2019an 710299, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.arcontrol.2021.03.010","article-title":"Preview-based techniques for vehicle suspension control: A state-of-the-art review","volume":"51","author":"Theunissen","year":"2021","journal-title":"Annu. 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