无人驾驶车辆模型预测控制(第2版)随书仿真程序及扩展学习资料.
This repo holds the Simulink/CarSim codes for examples of Self-driving Vehicles and Model Predictive Contorl (2ed edition).
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Chapter-2: Vehicle model validation, including 4 examples
- tire model validation
- kinematic model validation
- dynamic model validation
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Chapter-3: MPC for longitudinal control, including 4 examples
- a simple example using MPC toolbox for speed tracking demo
- MPC for speed tracking control with du as input
- Extended: MPC for speed tracking control with u as input
- Extended: MPC for Adaptive Cruise Control, involve multi-vehicle joint simulation
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Chapter-4: MPC use kinematic model for path tracking, including 4 examples
- Matlab code for given path tracking
- Simulink/CarSim for given path tracking
- Adaptive path fitting with 3rd-order Bezier curve
- MPC for general path tracking
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Chapter-5: MPC use dynamic model for Active Frontwheel Steering (AFS), including 2 examples
- Tire Cornering Stiffness Estimation use RLS method
- MPC for AFS
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Chapter-6: MPC for path tracking with local planning, including 1 examples
- MPC for obstacle avoidance in local planning, then MPC for tracking
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Chapter-7: MPC for handlig stability of high-speed self-driving Vehicles, including 3 examples
- Different qp-solver compare test
- MPC for high-speed self-driving vehicles, ignore handling stability
- MPC for high-speed self-driving vehicles consider handling stability
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Chapter-8:MPC for rollover prevention consider road terrain information, including 2 examples
- Zero-Moment-Point based Rollover criteria validation
- MPC for path tracking considering road terrain and rollover prevention
IVRC: Link for Inteligent Vehicle Research Center (IVRC) of BIT
qpOASES: Link for qpOASES
OSQP: Link for OSQP
Please report any issues via the Github issue tracker. All types of issues are welcome, including bug reports, documentation typos, feature requests and so on.
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Email: leoking1025@gmail.com
If you have any questions or suggestions, please don't hesitate to contact me. Any advices and comments would be highly appreciated.