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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Suman Kandel
Pashchimanchal Campus, Institute of Engineering, Tribhuvan University, Nepal
Electrical & Electronics Engineering

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Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization Sumit Babu Rijal; Prasiddha Chaulagain; Suman Kandel; Tul Bahadur Saru; Srijana Pariyar; Yubraj Bajgain; Kiran Giri
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1315

Abstract

This paper presents a low-cost adaptive suspension system designed to stabilize a mobile robotic platform operating on uneven terrain. Unlike many existing low-cost servo-based suspension approaches that depend on software-intensive filtering, threshold logic, or extensive tuning, the proposed system adopts a simplified control strategy using hardware-level sensor fusion from the digital motion processor (DMP) of an MPU6050 IMU combined with direct angle-to-actuation mapping. The mechanical design is based on a four-bar linkage suspension architecture actuated by servo motors and controlled using an ESP32 microcontroller, enabling real-time compensation of pitch and roll disturbances. Developed as a proof-of-concept platform with modular 3D-printed components, the system emphasizes accessibility, ease of fabrication, and reduced control complexity. Experimental evaluation under controlled, quasi-static conditions demonstrates effective chassis stabilization with limited angular deviation and consistently lower noise compared to a Kalman filter-based implementation, particularly during post-calibration operation. By balancing mechanical simplicity and additive manufacturing with reliable orientation feedback, the proposed design provides an accessible framework for teaching laboratories, low-budget research, and early-stage adaptive suspension development in resource-constrained environments.
Co-Authors Kiran Giri Prasiddha Chaulagain Srijana Pariyar Sumit Babu Rijal Tul Bahadur Saru Yubraj Bajgain