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Erschienen in: Microsystem Technologies 8/2022

14.06.2022 | Technical Paper

Chattering-free sliding mode control-based disturbance observer for MEMS gyroscope system

verfasst von: Vannam Giap, Hongson Vu, Quangdich Nguyen, Shyh-Chour Huang

Erschienen in: Microsystem Technologies | Ausgabe 8/2022

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Abstract

This paper proposes a novel disturbance observer (DOB) based on the free-chattering sliding-mode control (SMC) to compensate the changing of the disturbance and uncertain values of a micro-electromechanical system (MEMS) gyroscope. First, the mathematical model of the MEMS system is briefly described. Second, the SMC without the sign function was designed to deal with the problem of tracking references of the MEMS system. Due to the chattering occurs from switching control value, this paper used the sliding phase control without the sign function. Third, a DOB was proposed without the information of control inputs. To delete the conjunction of the first derivative disturbance value, a low-pass-filter was applied to drive the feedback disturbance value for compensating the perturbations of the MEMS system. Fourth, the stability of proposed control method was fulfilled the Lyapunov condition. The simulation results are used to verify the correction of the proposed theory. The effectiveness of the novel disturbance observer based on free-chattering control is a good result of tracking control performances for MEMS system. The tested disturbances and uncertainties on x- and y-axis were mostly rejected. The settling time and overshoot values are very small, the maximum settling-time value is 0.3 s. The steady-state are \(e_{x} \in ( - 10.09, \, 10.03) \times 10^{ - 4}\) and \(e_{x} \in ( - 13.29, \, 14.88) \times 10^{ - 4} ,\) for x- and y-axes, respectively.

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Literatur
Zurück zum Zitat Chen WH (2004) Disturbance observer based control for nonlinear systems. IEEE/ASME Trans Mechatron 9(4):706–710CrossRef Chen WH (2004) Disturbance observer based control for nonlinear systems. IEEE/ASME Trans Mechatron 9(4):706–710CrossRef
Zurück zum Zitat Chen F, Fei J (2019) Fractional order adaptive sliding mode control system of micro gyroscope. IEEE Access 7:150565–150572CrossRef Chen F, Fei J (2019) Fractional order adaptive sliding mode control system of micro gyroscope. IEEE Access 7:150565–150572CrossRef
Zurück zum Zitat Chu Y, Fei J, Hou S (2019) Adaptive neural backstepping PID global sliding mode fuzzy control of MEMS gyroscope. IEEE Access 7:37918–37926CrossRef Chu Y, Fei J, Hou S (2019) Adaptive neural backstepping PID global sliding mode fuzzy control of MEMS gyroscope. IEEE Access 7:37918–37926CrossRef
Zurück zum Zitat Fei J, Yan W, Yang Y (2015) Adaptive nonsingular terminal sliding mode control of MEMS gyroscope based on backstepping design. Int J Adapt Control Signal Process 29(9):1099–1115MathSciNetCrossRef Fei J, Yan W, Yang Y (2015) Adaptive nonsingular terminal sliding mode control of MEMS gyroscope based on backstepping design. Int J Adapt Control Signal Process 29(9):1099–1115MathSciNetCrossRef
Zurück zum Zitat Feng Z, Fei J (2018) Super-twisting sliding mode control for micro gyroscope based on RBF neural network. IEEE Access 6:64993–65001CrossRef Feng Z, Fei J (2018) Super-twisting sliding mode control for micro gyroscope based on RBF neural network. IEEE Access 6:64993–65001CrossRef
Zurück zum Zitat Gandikota G, Das DK (2019) Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple-input multiple-output system. Int J Robust Nonlinear Control 29(17):5886–5912MathSciNetCrossRef Gandikota G, Das DK (2019) Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple-input multiple-output system. Int J Robust Nonlinear Control 29(17):5886–5912MathSciNetCrossRef
Zurück zum Zitat Ghanbari A, Moghanni-Bavil-Olyaei MR (2014) Adaptive fuzzy terminal sliding-mode control of MEMS z-axis gyroscope with extended Kalman filter observer. Syst Sci Control Eng Open Access J 2(1):183–191CrossRef Ghanbari A, Moghanni-Bavil-Olyaei MR (2014) Adaptive fuzzy terminal sliding-mode control of MEMS z-axis gyroscope with extended Kalman filter observer. Syst Sci Control Eng Open Access J 2(1):183–191CrossRef
Zurück zum Zitat Giap VN, Huang SC (2020) Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system. Meas Control 53(5–6):934–942CrossRef Giap VN, Huang SC (2020) Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system. Meas Control 53(5–6):934–942CrossRef
Zurück zum Zitat Giap VN et al (2020a) Disturbance observer-based linear matrix inequality for the synchronization of Takagi-Sugeno fuzzy chaotic systems. IEEE Access 8:225805–225821CrossRef Giap VN et al (2020a) Disturbance observer-based linear matrix inequality for the synchronization of Takagi-Sugeno fuzzy chaotic systems. IEEE Access 8:225805–225821CrossRef
Zurück zum Zitat Giap VN, Nguyen QD, Huang SC (2021b) Synthetic adaptive fuzzy disturbance observer and sliding-mode control for chaos-based secure communication systems. IEEE Access 9:23907–23928CrossRef Giap VN, Nguyen QD, Huang SC (2021b) Synthetic adaptive fuzzy disturbance observer and sliding-mode control for chaos-based secure communication systems. IEEE Access 9:23907–23928CrossRef
Zurück zum Zitat Giap VN, Vu HS, Nguyen QD, Huang SC (2021c) robust observer based on fixed-time sliding mode control of position/velocity for a T-S fuzzy MEMS gyroscope. IEEE Access 9:96390–96403CrossRef Giap VN, Vu HS, Nguyen QD, Huang SC (2021c) robust observer based on fixed-time sliding mode control of position/velocity for a T-S fuzzy MEMS gyroscope. IEEE Access 9:96390–96403CrossRef
Zurück zum Zitat Giap VN, Vu HS, Huang SC (2021a) Time-varying disturbance observer based on regulating boundary layer thickness sliding mode control for MEMS gyroscope. Meas Control (to be published) Giap VN, Vu HS, Huang SC (2021a) Time-varying disturbance observer based on regulating boundary layer thickness sliding mode control for MEMS gyroscope. Meas Control (to be published)
Zurück zum Zitat Giap VN, Nguyen QD, Nguyen KT, Huang SC (2022) Time-varying disturbance observer based on sliding mode observer and double phases fixed-time sliding mode control for a T-S fuzzy MEMS gyroscope system. J Vib Control (to be published) Giap VN, Nguyen QD, Nguyen KT, Huang SC (2022) Time-varying disturbance observer based on sliding mode observer and double phases fixed-time sliding mode control for a T-S fuzzy MEMS gyroscope system. J Vib Control (to be published)
Zurück zum Zitat Giap VN et al (2020b) Robust control-based disturbance observer and optimal states feedback for T–S fuzzy systems. J Low Freq Noise Vib Act Control 1–17 Giap VN et al (2020b) Robust control-based disturbance observer and optimal states feedback for T–S fuzzy systems. J Low Freq Noise Vib Act Control 1–17
Zurück zum Zitat Igor BM (2013) Chattering in sliding mode control systems with boundary layer approximation of discontinuous control. I J Syst Sci 44(6):1126–1133MathSciNetCrossRef Igor BM (2013) Chattering in sliding mode control systems with boundary layer approximation of discontinuous control. I J Syst Sci 44(6):1126–1133MathSciNetCrossRef
Zurück zum Zitat Nguyen TA, Basit BA, Choi HH, Jung J (2020) Disturbance attenuation for surface-mounted PMSM drives using nonlinear disturbance observer-based sliding mode control. IEEE Access 8:86345–86356CrossRef Nguyen TA, Basit BA, Choi HH, Jung J (2020) Disturbance attenuation for surface-mounted PMSM drives using nonlinear disturbance observer-based sliding mode control. IEEE Access 8:86345–86356CrossRef
Zurück zum Zitat Ohishi K (1983) Torque-speed regulation of DC motor based on load torque estimation. IEEJ Int Power Electron Conf IPEC-TOKYO 3(2):1209–1216 Ohishi K (1983) Torque-speed regulation of DC motor based on load torque estimation. IEEJ Int Power Electron Conf IPEC-TOKYO 3(2):1209–1216
Zurück zum Zitat Rahmani M, Rahman MH (2019b) A new adaptive fractional sliding mode control of a MEMS gyroscope. Microsyst Technol 25(9):3409–3416CrossRef Rahmani M, Rahman MH (2019b) A new adaptive fractional sliding mode control of a MEMS gyroscope. Microsyst Technol 25(9):3409–3416CrossRef
Zurück zum Zitat Rahmani M, Komijani H, Ghanbari A, Ettefagh MM (2018) Optimal novel super-twisting PID sliding mode control of a MEMS gyroscope based on multi-objective bat algorithm. Microsyst Technol 24(6):2835–2846CrossRef Rahmani M, Komijani H, Ghanbari A, Ettefagh MM (2018) Optimal novel super-twisting PID sliding mode control of a MEMS gyroscope based on multi-objective bat algorithm. Microsyst Technol 24(6):2835–2846CrossRef
Zurück zum Zitat Rahmani M, Mohammad HR, Michael N (2020) A new hybrid robust control of MEMS gyroscope. Microsyst Technol 26(3):853–860CrossRef Rahmani M, Mohammad HR, Michael N (2020) A new hybrid robust control of MEMS gyroscope. Microsyst Technol 26(3):853–860CrossRef
Zurück zum Zitat Tsai JSH et al (2018) Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system. Int J Syst Sci 49(6):1273–1299MathSciNetCrossRef Tsai JSH et al (2018) Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled-data active magnetic bearing system. Int J Syst Sci 49(6):1273–1299MathSciNetCrossRef
Zurück zum Zitat Vu VP, Wang WJ (2018) State/disturbance observer and controller synthesis for the T–S fuzzy system with an enlarged class of disturbances. IEEE Trans Fuzzy Syst 26(6):3645–3659CrossRef Vu VP, Wang WJ (2018) State/disturbance observer and controller synthesis for the T–S fuzzy system with an enlarged class of disturbances. IEEE Trans Fuzzy Syst 26(6):3645–3659CrossRef
Zurück zum Zitat Wu X, Xu K, Lei M, He X (2020) Disturbance-compensation-based continuous sliding mode control for overhead cranes with disturbances. IEEE Trans Autom Sci Eng 17(4):2182–2189CrossRef Wu X, Xu K, Lei M, He X (2020) Disturbance-compensation-based continuous sliding mode control for overhead cranes with disturbances. IEEE Trans Autom Sci Eng 17(4):2182–2189CrossRef
Zurück zum Zitat Xin M, Fei J (2015) Adaptive vibration control for MEMS vibratory gyroscope using backstepping sliding mode control. J Vib Control 21(4):808–817MathSciNetCrossRef Xin M, Fei J (2015) Adaptive vibration control for MEMS vibratory gyroscope using backstepping sliding mode control. J Vib Control 21(4):808–817MathSciNetCrossRef
Zurück zum Zitat Xu et al (2018) Adaptive nonsingular terminal sliding model control for permanent magnet synchronous motor based on disturbance observer. IEEE Access 6:48913–48920CrossRef Xu et al (2018) Adaptive nonsingular terminal sliding model control for permanent magnet synchronous motor based on disturbance observer. IEEE Access 6:48913–48920CrossRef
Zurück zum Zitat Xu B, Zhang R, Li S, He W, Shi Z (2020) Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes. IEEE Trans Neural Net Learn Syst 31(4):1375–1386MathSciNetCrossRef Xu B, Zhang R, Li S, He W, Shi Z (2020) Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes. IEEE Trans Neural Net Learn Syst 31(4):1375–1386MathSciNetCrossRef
Zurück zum Zitat Yan W, Hou S, Fang Y, Fei J (2017) Robust adaptive nonsingular terminal sliding mode control of MEMS gyroscope using fuzzyneural-network compensator. Int J Mach Learn Cybern 8(4):1287–1299CrossRef Yan W, Hou S, Fang Y, Fei J (2017) Robust adaptive nonsingular terminal sliding mode control of MEMS gyroscope using fuzzyneural-network compensator. Int J Mach Learn Cybern 8(4):1287–1299CrossRef
Metadaten
Titel
Chattering-free sliding mode control-based disturbance observer for MEMS gyroscope system
verfasst von
Vannam Giap
Hongson Vu
Quangdich Nguyen
Shyh-Chour Huang
Publikationsdatum
14.06.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Microsystem Technologies / Ausgabe 8/2022
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI
https://doi.org/10.1007/s00542-022-05323-7

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