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Vibration Damping System for Vehicles on Indian Rural Roads

Target year: BE Sem 7-8 (Major Project Phase-I/II) AICTE: 6 credits · ~150 hrs Bloom: Create / Evaluate MU CBCS: MEC801 / MEDLO8021 BE Project

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About this project

Design, simulate, and prototype an active or semi-active vibration damping system tuned for the pothole + speed-bump profile of Indian rural roads. Use a quarter-car model in MATLAB Simulink, design a controller (PID or LQR), build a 1/4-scale physical prototype, and characterize its ride-comfort improvement using ISO 2631-1 metrics.

Course Learning Outcomes (CLOs):
CLO1: Model a multi-body dynamic system (quarter-car) and validate against analytical results.
CLO2: Design and tune a feedback controller for a real plant.
CLO3: Build a physical prototype that demonstrates the controller in action.
CLO4: Characterize ride-comfort improvement using ISO-standard metrics.
CLO5: Defend design choices in an oral panel review.

Industry/societal relevance: Indian OEMs (Tata Motors, M&M, Ashok Leyland) and tier-1 suppliers (ZF, Faurecia) actively hire chassis + ride-and-handling engineers — this project is a strong differentiator.

Milestones

1. Literature Review + Road Profile

10 marks 14d

Survey academic papers on active suspension. Build a representative bump/pothole profile for Indian roads. 8-page lit review.

2. Simulink Quarter-Car Model

20 marks 18d

Implement quarter-car ODEs in Simulink, verify against analytical natural frequency. Tune passive suspension as baseline.

3. Controller Design (PID + LQR)

25 marks 21d

Design PID + LQR controllers, compare ride-comfort RMS acceleration vs passive baseline in simulation. Robustness check.

4. Physical 1/4 Prototype + DAQ

25 marks 21d

Build 1/4-scale rig with sprung + unsprung masses, MR damper, accelerometer. Capture data via Arduino at >100Hz.

5. Real Hardware Test + Final Defense

20 marks 26d

Drive prototype over a controlled bump course, log accelerometer, compute ISO 2631-1 weighted RMS. Compare passive vs controlled. 12-page report + oral defense.

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Skills you'll learn

Vehicle DynamicsMATLAB Simulink modelingControl Systems (PID/LQR)Sensor data acquisition (accelerometer)Signal processing (FFTRMS)Mechanical prototyping

Tools used

MATLAB R2024 + SimulinkADXL345 accelerometerMR damper (or solenoid-actuated equivalent)Arduino / STM323D printer for chassisANSYS / Adams Car (optional)

Prerequisites

Vehicle Dynamics; Control Systems; Signal Processing basics; MATLAB intermediate; access to a 3D printer / fabrication facility

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