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Model Based Optimum Pid Gain Design of Adaptive Front Lighting System

机译:基于模型的自适应前照明系统的最佳PID增益设计

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摘要

Adaptive Front-Lighting System (AFLS) is a system which assists driver's field of vision by automatically controlling its brightness and illumination angle to adapt various driving conditions such as climate, traffic, road changes and so forth. This paper aims to propose novel model-based PID gain design method to improve the performances of Dynamic Bending Light (DBL) module that change horizontal angle of a system by applying Brent-Dekker algorithm that finds the root of nonlinear function and implementing Nelder-Mead simplex algorithm to the system reduction process. Along with the linear system model-based control theory, motor dynamics were modeled with frequency response. Validation of the prototype resulted in having less than 3 % error from the simulation, where position initialization and the real-time status monitoring function is available due to the closed loop control which enables over 3 times faster response than the conventional open-loop system.
机译:自适应前照明系统(AFL)是一种系统,它通过自动控制其亮度和照明角度来帮助驾驶员视野,以适应各种驾驶条件,例如气候,交通,道路变化等。 本文旨在提出基于模型的PID增益设计方法,提高动态弯光(DBL)模块的性能,通过应用发现非线性函数的根源和实现Nelder-Mead的Brent-Dekker算法来改变系统的水平角度 Simplex算法到系统还原过程。 随着基于线性系统模型的控制理论,电动机动态采用频率响应进行建模。 原型的验证导致仿真中的误差小于3%,其中位置初始化和实时状态监控功能由于闭环控制而可用,这使得比传统的开环系统快3倍超过3倍。

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