Chen Yang
Adaptive integrate control in traction control.
Rel. Aldo Sorniotti. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2025
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Abstract
In this thesis, Three different automotive suspension systems are compared and analyzed, including a passive system and two adaptive suspensions which are using Nonlinear Model Predictive Control (NMPC) architecture. Due to the effect of the Road irregularities, vehicles generate vertical and longitudinal acceleration oscillations. The vehicle suspension system need to respond the road profile to optimize the driving comfort and safety. In the absence of electrification in conventional internal combustion engine vehicles, the passive suspension system is the main solution. However, with the development of electric vehicles, NMPC is an important and mature control solution strategy to solve linear and nonlinear control problems and predict future states while satisfying constraints.
The objective of this study to develop an NMPC architecture with preview function for adaptive suspension system
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