How to Design a Model Predictive Control Controller with Simulink | Understanding MPC, Part 6
Автор: MATLAB
Загружено: 2018-09-17
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Learn how to design an MPC controller for an autonomous vehicle steering system using Model Predictive Control Toolbox.
This video walks you through the design process of an MPC controller. Using the MPC Designer app that comes with Model Predictive Control Toolbox, you can specify MPC design parameters such as controller sample time, prediction and control horizons, and constraints and weights. You can then fine tune your controller and evaluate its performance.
For the autonomous steering vehicle example demonstrated in this video, a custom reference trajectory is created using the Driving Scenario Designer app, which is part of Automated Driving System Toolbox™.
Watch all of the videos in this series about Understanding Model Predictive Control: • Understanding Model Predictive Control
Download this hands-on MPC virtual lab to practice design of model predictive controllers for an autonomous vehicle steering system: https://bit.ly/MPC-virtual-lab
Related Resources:
Download model: http://bit.ly/2QcllZj
Free Technical paper on Adaptive Cruise Controller with Model Predictive Control: http://bit.ly/2JhmOYr
Additional resources:
Lane Keeping Assist System Documentation: http://bit.ly/2xh6lhR
Lane Keeping Assist System Using Model Predictive Control: http://bit.ly/2xhlRKK
Lane Keeping Assist with Lane Detection: http://bit.ly/2xgSatq
Developing Longitudinal Controls for a Self-Driving Taxi: http://bit.ly/2xjL9rF
Driving Scenario Designer: http://bit.ly/2xpx0JN
Autonomous Vehicle Steering Using Model Predictive Control: https://bit.ly/3ZIlEen
Adaptive MPC Design with Simulink and Model Predictive Control Toolbox: http://bit.ly/2GsL5Nu
Learn how model predictive control (MPC) works:
Learn more about Model Predictive Control Toolbox: http://bit.ly/2xgwWvN
Model Predictive Control Toolbox: http://bit.ly/2xfEe2M
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