Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope
In this paper, an adaptive double feedback fuzzy neural fractional order sliding control approach is presented to solve the problem that lumped parameter uncertainties cannot be measured and the parameters are unknown in a micro gyroscope system. Firstly, a fractional order sliding surface is design...
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MDPI AG
2021-09-01
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author | Yunmei Fang Fang Chen Juntao Fei |
author_facet | Yunmei Fang Fang Chen Juntao Fei |
author_sort | Yunmei Fang |
collection | DOAJ |
description | In this paper, an adaptive double feedback fuzzy neural fractional order sliding control approach is presented to solve the problem that lumped parameter uncertainties cannot be measured and the parameters are unknown in a micro gyroscope system. Firstly, a fractional order sliding surface is designed, and the fractional order terms can provide additional freedom and improve the control accuracy. Then, the upper bound of lumped nonlinearities is estimated online using a double feedback fuzzy neural network. Accordingly, the gain of switching law is replaced by the estimated value. Meanwhile, the parameters of the double feedback fuzzy network, including base widths, centers, output layer weights, inner gains, and outer gains, can be adjusted in real time in order to improve the stability and identification efficiency. Finally, the simulation results display the performance of the proposed approach in terms of convergence speed and track speed. |
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institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-10T08:06:53Z |
publishDate | 2021-09-01 |
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spelling | doaj.art-6cf11fbc552f4998bea4fdf44be1ffbe2023-11-22T10:58:17ZengMDPI AGMathematics2227-73902021-09-01917212410.3390/math9172124Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro GyroscopeYunmei Fang0Fang Chen1Juntao Fei2College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, ChinaCollege of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, ChinaCollege of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, ChinaIn this paper, an adaptive double feedback fuzzy neural fractional order sliding control approach is presented to solve the problem that lumped parameter uncertainties cannot be measured and the parameters are unknown in a micro gyroscope system. Firstly, a fractional order sliding surface is designed, and the fractional order terms can provide additional freedom and improve the control accuracy. Then, the upper bound of lumped nonlinearities is estimated online using a double feedback fuzzy neural network. Accordingly, the gain of switching law is replaced by the estimated value. Meanwhile, the parameters of the double feedback fuzzy network, including base widths, centers, output layer weights, inner gains, and outer gains, can be adjusted in real time in order to improve the stability and identification efficiency. Finally, the simulation results display the performance of the proposed approach in terms of convergence speed and track speed.https://www.mdpi.com/2227-7390/9/17/2124micro gyroscopedouble feedback fuzzy neural networkneural networkfractional ordersliding mode control |
spellingShingle | Yunmei Fang Fang Chen Juntao Fei Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope Mathematics micro gyroscope double feedback fuzzy neural network neural network fractional order sliding mode control |
title | Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope |
title_full | Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope |
title_fullStr | Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope |
title_full_unstemmed | Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope |
title_short | Multiple Loop Fuzzy Neural Network Fractional Order Sliding Mode Control of Micro Gyroscope |
title_sort | multiple loop fuzzy neural network fractional order sliding mode control of micro gyroscope |
topic | micro gyroscope double feedback fuzzy neural network neural network fractional order sliding mode control |
url | https://www.mdpi.com/2227-7390/9/17/2124 |
work_keys_str_mv | AT yunmeifang multipleloopfuzzyneuralnetworkfractionalorderslidingmodecontrolofmicrogyroscope AT fangchen multipleloopfuzzyneuralnetworkfractionalorderslidingmodecontrolofmicrogyroscope AT juntaofei multipleloopfuzzyneuralnetworkfractionalorderslidingmodecontrolofmicrogyroscope |