This paper presents a multirotor control architecture, where Model Predictive Path Integral Control (MPPI) and L1 adaptive control are combined to achieve both fast model predictive trajectory planning and robust trajectory tracking. MPPI provides a framework to solve nonlinear MPC with complex cost functions in real-time. However, it often lacks robustness, especially when the simulated dynamics are different from the true dynamics. We show that the L1 adaptive controller robustifies the architecture, allowing the overall system to behave similar to the nominal system simulated with MPPI. The architecture is validated in a simulated multirotor racing environment.
@article{arxiv.2004.00152,
title = {L1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors},
author = {Jintasit Pravitra and Kasey A. Ackerman and Chengyu Cao and Naira Hovakimyan and Evangelos A. Theodorou},
journal= {arXiv preprint arXiv:2004.00152},
year = {2020}
}
Comments
Submitted to 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems