Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives
Abstract
It is very well-known that the implementation of Model Predictive Controller (MPC) on embedded platforms is challenging due to the computational complexities associated while solving an optimization problem. Although, there are many efficient embedded implementations existing by now, but for faster, more dynamic and non-linear control applications, there is no cost-effective and memory efficient embedded solutions. In this paper, we show the implementation of embedded explicit MPC for a motor speed control application on a lowcost 8 bit PIC 18 series microcontroller which costs only $5. The offset-free explicit MPC is designed for reference tracking, constraints handling, and disturbance rejection. The developed control law is exported to low-level C code and utilized in HIL co-simulations. We present the results of memory demand and control performance under various operating scenarios. The presented results show that the developed embedded MPC utilize about 40% of RAM and 92% of ROM for prediction horizon up to 3 samples. The performance of developed MPC is compared with the conventional PI controller. Overall results show that the presented approach is cost-effective, portable, and gives better performance than the PI controller.
Cite
@article{arxiv.2105.08623,
title = {Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives},
author = {Saket Adhau and Siddesh Dani and Deepak Ingole and Dayaram Sonawane},
journal= {arXiv preprint arXiv:2105.08623},
year = {2021}
}