Difference between revisions of "Projects:2018s1-181 BMW Autonomous Vehicle"
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'''Project Description:''' | '''Project Description:''' | ||
| − | In 2016, we have received a research vehicle from BMW and started to develop automated driving algorithms in 2017. This year we will focus on integration of automated driving functions. A test bench to validate and develop a hardware in the loop system for electric steering was also developed. This year, the setup requires improvements to withstand the high steering forces from the EPS (Electric Power Steering) rack. The test bench will also be used to test and validate various sensors, and they will be implemented, tested and validated in the test vehicle. The primary research focus will be given to enhancement of the vehicle control algorithm, including Model Predictive Control (MPC). An existing vehicle model will be used for offline implementation to test the performance of the controller and compare the performance. The three major steps involved in this project are: | + | In 2016, we have received a research vehicle from BMW and started to develop automated driving algorithms in 2017. This year we will focus on integration of automated driving functions. A test bench to validate and develop a hardware in the loop system for electric steering was also developed. This year, the setup requires improvements to withstand the high steering forces from the EPS (Electric Power Steering) rack. The test bench will also be used to test and validate various sensors, and they will be implemented, tested and validated in the test vehicle. The primary research focus will be given to enhancement of the vehicle control algorithm, including Model Predictive Control (MPC). An existing vehicle model will be used for offline implementation to test the performance of the controller and compare the performance. The three major steps involved in this project are: |
| − | • Introduction to the already existing control and integration of Hardware in the loop test bench with existing control algorithms. A validated vehicle model will be used to simulate driving behaviour. | + | |
| − | • Integration of a position determination algorithm and integration of sensors in the vehicle and testing the algorithm in the real vehicle. The the algorithm will be enhanced using additional vehicle information | + | • Introduction to the already existing control and integration of Hardware in the loop test bench with existing control algorithms. A validated vehicle model will be used to simulate driving behaviour. |
| + | |||
| + | • Integration of a position determination algorithm and integration of sensors in the vehicle and testing the algorithm in the real vehicle. The the algorithm will be enhanced using additional vehicle information | ||
| + | |||
• Development of a MPC controller for vehicle control with integration inside the vehicle. o Analysis of the performance of the controller o Comparison to PID controller | • Development of a MPC controller for vehicle control with integration inside the vehicle. o Analysis of the performance of the controller o Comparison to PID controller | ||
Revision as of 11:23, 9 April 2018
Students: Corey Miller Kaifeng Ren Muhammad Sufyaan Bin Mohd Faiz Ovini Amaya Perera Yiduo Yin
Supervisors:
Assosciate Professor Nesimi Ertugral
Mr Robert Dollinger
Project Description:
In 2016, we have received a research vehicle from BMW and started to develop automated driving algorithms in 2017. This year we will focus on integration of automated driving functions. A test bench to validate and develop a hardware in the loop system for electric steering was also developed. This year, the setup requires improvements to withstand the high steering forces from the EPS (Electric Power Steering) rack. The test bench will also be used to test and validate various sensors, and they will be implemented, tested and validated in the test vehicle. The primary research focus will be given to enhancement of the vehicle control algorithm, including Model Predictive Control (MPC). An existing vehicle model will be used for offline implementation to test the performance of the controller and compare the performance. The three major steps involved in this project are:
• Introduction to the already existing control and integration of Hardware in the loop test bench with existing control algorithms. A validated vehicle model will be used to simulate driving behaviour.
• Integration of a position determination algorithm and integration of sensors in the vehicle and testing the algorithm in the real vehicle. The the algorithm will be enhanced using additional vehicle information
• Development of a MPC controller for vehicle control with integration inside the vehicle. o Analysis of the performance of the controller o Comparison to PID controller
