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  • Summary & Details

Study on Robust PID System for Vehicle Motion Control Using Taguchi Method

タグチメソッドを用いたロバストな自動車PID制御システムの設計及び検討

Detailed Information

Category(J)ホットトピックス

Translation

Category(E)Hot Topics
Author(J)1) 菊田 陸, 2) 田口 伸, 3) 本山 惠一
Author(E)1) Riku Kikuta, 2) Shin Taguchi, 3) Keiichi Motoyama
Affiliation(J)1) Mississippi State University, 2) ASI Consulting Group, 3) Mississippi State University
Abstract(J)自動車制御において、予測困難な事象(ノイズ)は制御の堅牢性を損なう大きな課題である。本研究ではタグチメソッドを用いた頑健なパラメータ最適化手法を提案し、操舵制御に適用した。実験の結果、S/N比の向上を確認し、外乱下でも高い堅牢性と安定した制御性能を維持できることを示した。

Translation

Abstract(E)This study addresses the challenge of robustness in autonomous driving systems, specifically focusing on PID-based path following. While various optimization techniques exist, unpredictable deadtime remains a major obstacle to maintaining stable performance. To overcome this, we propose a robust parameter optimization approach based on the Taguchi method applied to steering control. By utilizing orthogonal arrays and signal-to-noise (S/N) ratios, the method systematically identifies parameters less sensitive to variations. Experimental results demonstrate that the proposed approach effectively enhances system robustness against deadtime disturbances, achieving superior performance stability compared to traditional tuning methods.

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