“Motorcycle Steering Oscillation Measurements to Detect Instability Behaviour during Tyre Testing on Straight Road at Constant Speed Using IMU and Steering Angle Sensor through 2D Data Recording System”
Mr. Sharad D. Mugale1, Mr. Mahesh H Khude 2, Mr. Kishor D. Satpute3 , Prof. Swapnil R. Dumbre4
1Mechanical Department & Sharadchandra Pawar college of Engg, Otur
2Mechanical Department & Sharadchandra Pawar college of Engg, Otur
3Mechanical Department & Sharadchandra Pawar college of Engg, Otur
4Mechanical Department & Sharadchandra Pawar college of Engg, Otur
Abstract - Motorcycle stability is crucial for rider safety, especially at high speeds where issues such as weaving oscillations may occur. Traditional evaluations that depend on rider perception are subjective and inconsistent. This project aims to create an objective method for detecting and analyzing motorcycle stability during tire testing on straight roads at constant speeds. The approach employs an Inertial Measurement Unit (IMU) along with a steering angle sensor, integrated into a 2D data recording system to simultaneously capture steering oscillations and vehicle dynamics. Tests will be conducted at various steady speeds without rider input or external steering influences, addressing a gap found in current research. The collected data will be filtered and analyzed in both frequency and time domains to measure the amplitude, frequency, and timing of weave oscillations. The results will establish quantitative instability thresholds and will be compared with riders' subjective feedback regarding tire performance. The expected outcome is a validated measurement technique for evaluating motorcycle stability that aids in tire development, safety evaluations, and aligns objective metrics with rider experiences. This project, sponsored by industry, guarantees the practical relevance and application of the research findings.
Key Words: Motorcycle stability, weaving oscillations, Traditional evaluations, Inertial Measurement Unit (IMU), steering oscillations, vehicle dynamics, amplitude, frequency.