Abstract
Because the dual-mass MEMS gyroscope's output is greatly influenced by temperature, which can lead to errors that cannot be ignored. To solve this problem, a novel compensation method is proposed: a parallel processing algorithm, which integrates the Permutation entropy (PE), Local Characteristic-scale Decomposition (LCD) and Adaptive network-based fuzzy inference system (ANFIS). Firstly, LCD is used to decompose the output which contains temperature noises and drifts into a trend component and several intrinsic scale components (ISC), according to autocorrelation and complexity, three different categories will be obtained by PE: pure noise output, mixed output, and drift output. The different processes are as follows, the noise output is discarded, the mixed output is filtered by SG (Savitzky-Golay filter), then dual ANFIS is applied. Since the drift output completely reflects the temperature characteristics, the degree of non-linearity is high, the ANFIS with complex rules is used for processing. And the mixed output is composed of intermediate layer modes, containing a relatively small amount of temperature characteristics, simple rule ANFIS is adopted for processing. Finally, the signal is reconstructed. After that, the temperature error experiment is carried out, the result shows the method can effectively eliminate the error and compensate for the drift, it has a fast convergence speed and good effect, and has the advantage of good compensation efficiency.
Highlights
A microelectromechanical system (MEMS) gyroscope is an angular velocity sensor based on the Coriolis force, it has low power consumption, small size, high performance, good stability, and it is broadly applied in many fields
It can be concluded that the parallel processing training accuracy for drift output and fast convergence speed method of temperature error based on Permutation entropy (PE)-Local Characteristic-scale Decomposition (LCD)-Adaptive network-based fuzzy inference system (ANFIS) can from Figure 15 (c)
A new parallel processing method based on PE-LCD and ANFIS is proposed, which is a hybrid parallel algorithm
Summary
A microelectromechanical system (MEMS) gyroscope is an angular velocity sensor based on the Coriolis force, it has low power consumption, small size, high performance, good stability, and it is broadly applied in many fields. This paper applied the LCD algorithm, LCD decomposition is an adaptive time-frequency analysis method, which is proposed on the basis of EMD and LMD [18][19] and applies to the analysis and processing of non-linear non-stationary signals. It can decompose complicated non-stationary signals into a series of single components with physical significance, which has high calculation efficiency and it has some advantages in the ability to suppress mode aliasing and end-point effect [20].
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