D-Optimal Experimental Design for Calibration Deterministic Errors of DTG

This paper presents a novel experimental design for greatly improving the calibration accuracy of the acceleration-insensitive and the acceleration-sensitive biases of the dynamically tuned gyroscopes. A novel calibration procedure based on D-optimality criteria and real code genetic algorithm (RCGA) is established. In order to reduce experiment cost, the D-optimality criteria is constructed with constraints. The experiment results show that the new experimental procedure achieves better calibration results with only 12-position which is half the cost of the widely adopted 24-position experimental procedure. The experimental procedure proposed in this paper has been proved to be simple and efficient in calibrating Dynamically Tuned Gyro (DTG).