Optimization and Control of Agile Eye Mechanism to Stabilize Car Vibrations and Target Tracking

Document Type : Research Article

Authors

1 Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran

2 تربیت مدرس-مهندسی مکانیک

Abstract

In this research, an Agile Eye mechanism mounted on a moving car aims to maintain focus in the desired direction despite road disturbances and vibrations. The study investigates the system's performance on hilly and mountainous roads, considering two PID tuning methods: trial and error, and Ziegler-Nichols. To mitigate vibrations, a vibration absorber is employed, and its spring-damper coefficients are optimized using a genetic algorithm, ensuring improved response and cost efficiency. The optimized coefficients significantly reduce disturbances transmitted from the vehicle to the mechanism, enhancing system control and preventing damage. The error's root mean square value was reduced to 0.02-0.04 with the vibration absorber, demonstrating its effectiveness in minimizing disturbances and improving overall control performance.

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References

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Amirkabir Journal of Mechanical Engineering
Volume 56, Issue 6
September 2024
Pages 885-908

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