paper-with-me

홈 › Papers

Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives

2021-05-18 · Saket Adhau, Siddesh Dani, Deepak Ingole, Dayaram Sonawane

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.

📄 PDF Abstract BibTeX arXiv:2105.08623

Code (0)

등록된 구현이 없습니다.

Tasks

C++ code

Similar Papers 제목 키워드 기반

Quantized Deep Path-following Control on a Microcontroller

2023-01-27 · Pablo Zometa, Timm Faulwasser

Model predictive Path-Following Control (MPFC) is a viable option for motion systems in many application domains. However, despite considerable progress on tailored numerical methods for predictive control, the real-time…

Quantization

A 28 nm AI microcontroller with tightly coupled zero-standby power weight memory featuring standard logic compatible 4 Mb 4-bits/cell embedded flash technology

2025-02-13 · Daewung Kim, Seong Hwan Jeon, Young Hee Jeon, Kyung-Bae Kwon 외

This study introduces a novel AI microcontroller optimized for cost-effective, battery-powered edge AI applications. Unlike traditional single bit/cell memory configurations, the proposed microcontroller integrates zero-…

Embedded Neural Networks for Robot Autonomy

2019-11-10 · Sarah Aguasvivas Manzano, Dana Hughes, Cooper Simpson, Radhen Patel 외

We present a library to automatically embed signal processing and neural network predictions into the material robots are made of. Deep and shallow neural network models are first trained offline using state-of-the-art m…

General Classification

AUTOMATIC ROOM LIGHT CONTROLLER MANAGEMENT SYSTEM.

2025-06-25 · Zenodo 2025 6 · Kamal Acharya

The AT89S51 is a low-power, high- performance CMOS 8-bit microcontroller with 4K bytes of In-System Programmable Flash memory. The device is manufactured using Atmel’s high-density non-volatile memory technology and is c…

4kCPUManagement

Quantization and Deployment of Deep Neural Networks on Microcontrollers

2021-05-27 · Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond 외

Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed o…

Activity RecognitionHuman Activity Recognitionobject-detectionObject Detection+3