Abstract

Roll angle measurement is an essential technology in the trajectory correction projectiles. In this paper, an algorithm to detect the roll angle and rotational speed of a spinning vehicle is studied by using a GPS (Global Positioning System) receiver with a single side-mounted antenna. A Frequency-Locked Loop (FLL) assisted Phase-Locked Loop (PLL) is designed to obtain the attitude information from GPS signals, and the optimal parameters of this system are discussed when different rotational speeds are considered. The error estimation of this method and signal-to-noise ratio analysis of GPS signals are also studied. Finally, experiments on the rotary table were carried out to verify the proposed method. The experimental results showed that the proposed algorithm can detect the roll angle in a precision of within 5 degrees.

Highlights

  • For some guided spinning projectiles, it is essential to measure the roll angle and rotational speed in real time when it is in the air, because the control surfaces must be correctly actuated to maintain a right trajectory to the target

  • Which correspond to the relative angles andare rotational speeds a spinningofvehicle

  • Frequency-Locked Loop (FLL)-assisted Phase-Locked Loop (PLL) combines the dynamic stress with first-order assisted filter is selected, because both advantages of both tracking loops, which means it can track the phases of input signals precisely loops arehigh insensitive to stress constant velocity, while the PLL

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Summary

Introduction

For some guided spinning projectiles, it is essential to measure the roll angle and rotational speed in real time when it is in the air, because the control surfaces must be correctly actuated to maintain a right trajectory to the target. There are various sensors to detect the roll angle of a spinning projectile in which magnetic and inertial sensors are widely applied, but with some defects. Park and Kim [2] presented a roll angle estimation algorithm using pitch and yaw rate gyroscopes as well as the Extended Kalman Filter (EKF), which works only under low spinning speed. It is difficult to estimate rotational information with a low-cost MEMS (Micro-electromechanical Systems) gyroscope which has a low-dynamic range, because ordinary inertial sensors cannot work properly under the harsh conditions of gun-lunching projectiles [3]

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