基於模糊控制理論之適路性照明系統控制器設計

隨著汽車工業的進步，汽車外觀造型設計、行車安全防護、動力性能等都有著大幅度的進化，然而汽車夜間照明效果的改善也已然成為行車安全中重要的一環。為了提高夜間行車的安全性，針對傳統汽車照明不足和會車時造成對向來車駕駛眩光等問題皆須加強改善，因而適路性照明系統(Adaptive Front-light System，AFS)便開始快速的發展起來。適路性照明系統是一種能提供駕駛在不同路況和駕駛條件下最佳且最有效的照明效果，依據車輛內部的感測器提供目前的車況參數，在經由行車電腦判斷分析應提供的光型和照明效果後進行調整頭燈狀態，以達到有效且增加駕駛視角範圍的照明效果。本論文乃是以模糊控制理論為基礎，研究設計一適路性照明系統之控制器，設計過程中以MATLAB程式設計環境撰寫一控制器程式並使用MATLAB進行模擬和判斷車燈調整結果之正確性。再經由現行車用頭燈中的轉向機構搭配模糊控制器所計算的結果進行車燈轉動調整之模擬。於模擬過程中更加入機械損耗等雜訊考量，故於程式開發過程加入迴授機制使其修正系統輸出，進而達到車燈轉動調整狀態與模糊控制器模擬輸出之結果能有最小的誤差。

關鍵字

適路性照明系統；模糊控制器；迴授機制

並列摘要

As progress of car industries, there is a sharp progress on car exterior design、car safety protect、power performance. However improvement of car night illumination has also been an important part of car driving safety. To enhance safety of night driving, it’s necessary to improve on car illumination lacking and glare problem when cars intersect. That’s why Adaptive Front-light System starts to develop fast. Adaptive Front-light System can offer driver the best and most effective light effect under different road and driving situation. According to sensor in car to offer current car status, after car computer analyze suitable light shape to adjust head lamp to achieve effective and increase illumination effect of view range. This thesis is based on Fuzzy Control Theory to design a controller of AFS. Use MATLAB program to write a controller program in design process and use MATLAB to simulate and judge correct of lamp adjust result. And by steering mechanisms of current car head lamp to work with controller’s result for simulation of car lamp adjustment. Add consideration of machine loss in simulation process so add feedback in program develop process to revise system output. Therefore to achieve minimum difference between lamp adjusting status and fuzzy controller simulation output result.

並列關鍵字

Adaptive Front-light System ； fuzzy controller ； feedback Control

參考文獻

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