The optimization design of the improvement unit of intelligent car turning algorithm

Abstract

For the problems that the transient signals output by gyroscope sensors change rapidly when intelligent car is turning especially in sharp turn, intelligent car own craft and structure is limited, and the stability of the signals is poor, a core verification method based on the STM32 turning control chip was designed. And FPGA was used in the instrument characteristic improvement unit. The test results show that the dynamic characteristic of traditional turning is effectively improved by collecting and amplifying the turning signals and cascading feature improvement module， and the precision of the real time signal processing in sharp turn is improved.

Keywords

• intelligent car
• STM32
• dynamic correction module
• turning algorithm
• gyroscope
• filter design
• signal conditioning