Fiber optic gyroscope temperature drift error compensation method based on optimized least square-support vector machine (LS-SVM)

A technology of LS-SVM model and fiber optic gyroscope, applied in the field of inertia, can solve problems such as convergence speed or lack of global optimization

Inactive Publication Date: 2014-07-30
SOUTHEAST UNIV
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Problems solved by technology

At present, optimization methods such as gradient descent algorithm, genetic algorithm and particle swarm optimi...

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  • Fiber optic gyroscope temperature drift error compensation method based on optimized least square-support vector machine (LS-SVM)
  • Fiber optic gyroscope temperature drift error compensation method based on optimized least square-support vector machine (LS-SVM)
  • Fiber optic gyroscope temperature drift error compensation method based on optimized least square-support vector machine (LS-SVM)

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Embodiment

[0071] In order to obtain the output data of the fiber optic gyroscope at a certain working environment temperature, the fiber optic gyroscope is placed in an adjustable temperature control box, the rate of temperature change is adjusted, and the static output of the fiber optic gyroscope at a certain temperature is collected. The collection time is 40 minutes, and the collection frequency is 100 Hz. Obtain 2400 sets of output data of the fiber optic gyroscope under the temperature change rate of ±0.8℃ / min, and use the denoising algorithm to remove the constant error and noise in the signal. The first 1800 sets of data are used as training data, and the last 600 sets are used as model test data.

[0072] After initializing the LS-SVM and SFSA model parameters, set the population size N=50, Visual=0.5, δ=0.618, Step=0.1, and consider the maximum number of iterations as 20, and initialize the range of model parameters (c,σ), namely : c=[0,1000], σ=[0,10], after specific iterativ...

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Abstract

The invention discloses a fiber optic gyroscope temperature drift error compensation method based on an optimized least square-support vector machine (LS-SVM). The method comprises the following specific steps: (1) initializing an artificial fish swarm algorithm (AFSA) optimization algorithm and LS-SVM model parameters; (2) determining sample data for model training and testing according to fiber optic gyroscope output data, and preprocessing the model input data; (3) training a LS-SVM model by using the training data, and continuously iterating the optimized model parameters through the AFSA algorithm; (4) predicting output of the fiber optic gyroscope according to the trained model, and performing temperature drift error compensation. According to the method, the optimized parameters under set conditions can be acquired according to the training sample by adopting the AFSA algorithm with high global optimization capacity, the condition that local optimization is possibly caused in the optimization process is avoided, and the prediction accuracy of the model can be improved to a certain degree.

Description

technical field [0001] The invention relates to the technical field of inertia, in particular to an optical fiber gyroscope temperature drift error compensation method based on optimized LS-SVM. Background technique [0002] Fiber optic gyroscope (Fiber Optic Gyroscope, FOG) is an optical sensor based on the Sagnac effect. Since the components of the device are sensitive to temperature changes, the temperature change of the working environment will affect the output accuracy of the fiber optic gyroscope, thus restricting the Improved accuracy of inertial navigation. In order to suppress this temperature drift error, many researchers have done a lot of work. On the one hand, starting from the internal structure of the gyroscope, the working environment temperature of the coil, light source and optical devices is more stable through structural design improvements; on the other hand, by analyzing the temperature characteristics of the fiber optic gyroscope, a temperature drift...

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Application Information

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IPC IPC(8): G01C25/00
CPCG01C25/00G01C19/72
Inventor 陈熙源宋锐汤传业方琳
Owner SOUTHEAST UNIV
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