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| 1 | +# Vehicle_Controller_Design_Project |
| 2 | +In this project, I designed a LQR controller to control a car following a given trajectory. |
| 3 | +The goal of this project is to make the car finish the path as quickly as possible while still maintaining good accuracy. |
| 4 | + |
| 5 | +The tasks for this project include: |
| 6 | +1. Model the car using a bicycle model |
| 7 | +2. linearize the model and decouple them into lateral and longitudinal models |
| 8 | +3. Design a controller for both lateral and longitudinal models and tune the parameters to get the optimal peformance |
| 9 | + |
| 10 | +The detailed modeling of the car can be found in the reference. The liearization process can be found in the "Calculation and result" folder |
| 11 | + |
| 12 | +For this project, I designed 2 controllers. One is slow but accurate, the other is fast but barely satisfy the accuracy requirement. |
| 13 | +These two controllers can be found in controller_slow.py and controller_fast.py |
| 14 | + |
| 15 | +Here are some simulation results: |
| 16 | + |
| 17 | +### Fast Controller ### |
| 18 | +* Total time: 74.55 s |
| 19 | +* Maximun distance from reference: 5.7268493347214475 m |
| 20 | +* Average distance from referencet: 1.3019881974778402 m |
| 21 | + |
| 22 | + |
| 23 | + |
| 24 | +### Slow Controller ### |
| 25 | +* Total time: 157.45000000000002 s |
| 26 | +* Maximun distance from reference: 5.6915563863996335 m |
| 27 | +* Average distance from referencet: 0.7979645575292 m |
| 28 | + |
| 29 | + |
| 30 | + |
| 31 | + |
| 32 | +Reference |
| 33 | +1. Rajamani Rajesh. Vehicle dynamics and control. Springer Science & Business Media,2011. |
| 34 | +2. Kong Jason, et al. "Kinematic and dynamic vehicle models for autonomous driving |
| 35 | +control design." Intelligent Vehicles Symposium, 2015. |
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