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Central Non-Linear Model-Based Predictive Vehicle Dynamics Control
| Content Provider | MDPI |
|---|---|
| Author | Sieberg, Philipp Schramm, Dieter |
| Copyright Year | 2021 |
| Description | Considering automated driving, vehicle dynamics control systems are also a crucial aspect. Vehicle dynamics control systems serve as an important influence factor on safety and ride comfort. By reducing the driver’s responsibility through partially or fully automated driving functions, the occupants’ perception of safety and ride comfort changes. Both aspects are focused even more and have to be enhanced. In general, research on vehicle dynamics control systems is a field that has already been well researched. With regard to the mentioned aspects, however, a central control structure features sufficient potential by exploiting synergies. Furthermore, a predictive mode of operation can contribute to achieve these objectives, since the vehicle can act in a predictive manner instead of merely reacting. Consequently, this contribution presents a central predictive control system by means of a non-linear model-based predictive control algorithm. In this context, roll, self-steering and pitch behavior are considered as control objectives. The active roll stabilization demonstrates an excellent control quality with a root mean squared error of |
| Starting Page | 4687 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app11104687 |
| Journal | Applied Sciences |
| Issue Number | 10 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-05-20 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Transportation Science and Technology Central Control Non-linear Model-based Predictive Control Pitch Behavior Predictive Control Roll Behavior Self-steering Behavior Vehicle Dynamics |
| Content Type | Text |
| Resource Type | Article |
