Amidst the era of automation, sensors are vital across industries; notably, tilt sensors play a pivotal role in spatial object identification for applications that comprise robotics and autonomous vehicles. However, research on accurately assessing tilt angle sensor precision remains limited. Consequently, this paper presents the design of a testing platform for tilt sensor based on the structure of a gimbal system. The measurement error of the testing platform is evaluated based on the sufficient sample size which is determined by the Slovin’s formula and Student’s t-distribution. Based on the theory of confidence interval (CI) estimation according to Student’s t-distribution and Z distribution, the experimental results revealed that the measurement error of the proposed system has an accuracy of 0.9 degrees, with the desired margin of error of 1% and a confidence level of 95%.

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Development of Two-Axes Gimbal System Testing Platform for Validating Tilt Sensor Precision

  • Nhut Thang Le,
  • Trung Dat Phan,
  • Minh Duc Nguyen,
  • Cong Toai Truong,
  • Van Tu Duong,
  • Huy Hung Nguyen,
  • Dae Hwan Kim,
  • Tan Tien Nguyen

摘要

Amidst the era of automation, sensors are vital across industries; notably, tilt sensors play a pivotal role in spatial object identification for applications that comprise robotics and autonomous vehicles. However, research on accurately assessing tilt angle sensor precision remains limited. Consequently, this paper presents the design of a testing platform for tilt sensor based on the structure of a gimbal system. The measurement error of the testing platform is evaluated based on the sufficient sample size which is determined by the Slovin’s formula and Student’s t-distribution. Based on the theory of confidence interval (CI) estimation according to Student’s t-distribution and Z distribution, the experimental results revealed that the measurement error of the proposed system has an accuracy of 0.9 degrees, with the desired margin of error of 1% and a confidence level of 95%.