Abstract
This paper proposes a new automotive driving control for vehicle to track the specified multi-objectives. By considering the nonlinear and coupling vehicle dynamics and relative motions with respect to the road, the corresponding T-S fuzzy model of vehicle can be obtained with a suitable input decoupled technique. The controller based on the optimal fuzzy tracking design is then developed and it pushes the outputs of vehicle systems close to any desired targets without excessive control-energy consumption. The desired speed and lateral offset in double lane-change maneuver are given as tracking targets in this work, and simulation results show that the effectiveness of proposed tracking scheme.
| Original language | English |
|---|---|
| Pages (from-to) | 3319-3324 |
| Number of pages | 6 |
| Journal | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| State | Published - 2005 |
| Event | IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States Duration: 10 Oct 2005 → 12 Oct 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Automotive driving
- Multi-outputs tracking
- Optimal fuzzy tracking
- T-S fuzzy models
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