Active Vibration Control of Motorcycle Handlebars Using Microcontroller-Based Feedback System

Yoo, Houng (2026) Active Vibration Control of Motorcycle Handlebars Using Microcontroller-Based Feedback System. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Motorcycle handlebars often experience excessive vibrations from engine operation, leading to rider discomfort, fatigue, and potential health issues such as Hand Arm Vibration Syndrome (HAVS). While traditional passive methods were limited by their inability to adapt to varying engine speeds, this research developed and validated an adaptive Active Vibration Control (AVC) system specifically for motorcycle handlebars. The methodology utilized a microcontroller based architecture to manage a dynamic mass-slider mechanism. The system was programmed with an adaptive control strategy that translated real time vibration intensity measurements from an ADXL345 accelerometer into discrete positioning levels for the slider mass. A weighted low pass digital filter was implemented to stabilize sensor data, and a non-blocking timing routine ensured consistent data acquisition and motor actuation. Experimental testing was conducted on a Keeway 152x motorcycle across an engine speed range of 500 to 5000 RPM, utilizing a modified spring-mass setup tuned with rubber bands (