Robust adaptive vibration control of nonlocal strain gradient

Document Type : Invited by Davoud Younesian

Authors

1 Professor, Department of Mechanical Engineering, University of Tehran, Tehran, Iran

2 Ph.D. Student, Department of Mechanical Engineering, Michigan State University, East Lansing, USA

3 MSc Student, Department of Mechanical Engineering, University of Tehran, Tehran, Iran

Abstract

An Euler–Bernoulli nanobeam is stabilized using a robust adaptive sliding mode control. Using nonlocal strain gradient theory and Hamilton’s principle, a nonlinear partial differential equation is derived to demonstrate the vibration behavior of the considered nanobeam. Moreover, the obtained partial differential equation is converted to an ordinary differential equation using the Galerkin technique. To suppress the nonlinear vibration of the nanobeam and overcome the uncertainties, robust adaptive vibration control is designed using an extended Kalman filter and sliding mode control. Finally, simulation results show the performance of the designed robust adaptive controller. Furthermore, the traditional control schemes are used to illustrate the superiority of the proposed controller over them.

Highlights

  • The nonlinear PDE of motion is obtained for a nonlocal strain gradient nanobeam.
  • A robust sliding mode controller is designed for controlling nanobeam vibrations.
  • Stability of the closed-loop system with uncertain parameters is proved.
  • The proposed controller is equipped with an extended Kalman filter.

Keywords

Main Subjects


[1] C. Chircov, A.M. Grumezescu, Microelectromechanical systems (mems) for biomedical applications, Micromachines, 13 (2022) 164.
[2] A. Vahidi-Moghaddam, A. Rajaei, R. Vatankhah, M.R. Hairi-Yazdi, Terminal sliding mode control with non-symmetric input saturation for vibration suppression of electrostatically actuated nanobeams in the presence of Casimir force, Applied Mathematical Modelling, 60 (2018) 416-434.
[3] I.V. Uvarov, M.O. Izyumov, Reliability issues for electrostatically actuated MEMS switch, in:  International Conference on Micro-and Nano-Electronics 2021, SPIE, 2022, pp. 144-149.
[4] A. Yousefpour, A. Vahidi-Moghaddam, A. Rajaei, M. Ayati, Stabilization of nonlinear vibrations of carbon nanotubes using observer-based terminal sliding mode control, Transactions of the Institute of Measurement and Control, 42 (2020) 1047-1058.
[5] A. Vahidi-Moghaddam, A. Rajaei, R. Vatankhah, M.R. Hairi-Yazdi, Analytical solution for nonlinear vibration of a new arch micro resonator model, Journal of Physics D: Applied Physics, 53 (2020) 285503.
[6] A. Ghaderi, E. Ghavanloo, S. Fazelzadeh, Reliability analysis of carbon nanotube-based nano-truss under various loading conditions, Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 45 (2021) 1123-1131.
[7] V.A. Aksyuk, F. Pardo, C.A. Bolle, S. Arney, C.R. Giles, D.J. Bishop, Lucent Microstar micromirror array technology for large optical crossconnects, in:  MOEMS and Miniaturized Systems, SPIE, 2000, pp. 320-324.
[8] H.-M. Cheng, M.T. Ewe, G.T. Chiu, R. Bashir, Modeling and control of piezoelectric cantilever beam micro-mirror and micro-laser arrays to reduce image banding in electrophotographic processes, Journal of Micromechanics and Microengineering, 11 (2001) 487.
[9] A. Vahidi-Moghaddam, M.R. Hairi-Yazdi, R. Vatankhah, Analytical solution for nonlinear forced vibrations of functionally graded micro resonators, Mechanics Based Design of Structures and Machines, 51 (2023) 1543-1562.
[10] R. Mindlin, H. Tiersten, Effects of couple-stresses in linear elasticity, in, Columbia Univ New York, 1962.
[11] F. Yang, A. Chong, D.C.C. Lam, P. Tong, Couple stress based strain gradient theory for elasticity, International journal of solids and structures, 39 (2002) 2731-2743.
[12] R.D. Mindlin, Second gradient of strain and surface-tension in linear elasticity, International Journal of Solids and Structures, 1 (1965) 417-438.
[13] N. Fleck, J. Hutchinson, A phenomenological theory for strain gradient effects in plasticity, Journal of the Mechanics and Physics of Solids, 41 (1993) 1825-1857.
[14] D.C. Lam, F. Yang, A. Chong, J. Wang, P. Tong, Experiments and theory in strain gradient elasticity, Journal of the Mechanics and Physics of Solids, 51 (2003) 1477-1508.
[15] A.C. Eringen, Nonlocal polar elastic continua, International journal of engineering science, 10 (1972) 1-16.
[16] E.C. Aifantis, On the role of gradients in the localization of deformation and fracture, International Journal of Engineering Science, 30 (1992) 1279-1299.
[17] C. Lim, G. Zhang, J. Reddy, A higher-order nonlocal elasticity and strain gradient theory and its applications in wave propagation, Journal of the Mechanics and Physics of Solids, 78 (2015) 298-313.
[18] C. Xiao, G. Zhang, Y. Yu, Y. Mo, R. Mohammadi, Nonlinear vibration analysis of the nanobeams subjected to magneto-electro-thermal loading based on a novel HSDT, Waves in Random and Complex Media, (2022) 1-20.
[19] A. Rajaei, A. Vahidi-Moghaddam, M. Eghtesad, D. Necsulescu, E.A. Yazdi, Nonsingular decoupled terminal sliding-mode control for a class of fourth-order under-actuated nonlinear systems with unknown external disturbance, Engineering Research Express, 2 (2020) 035028.
[20] A. Vahidi‐Moghaddam, A. Rajaei, M. Ayati, R. Vatankhah, M.R. Hairi‐Yazdi, Adaptive prescribed‐time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization, IET Control Theory & Applications, 14 (2020) 3301-3311.
[21] J.K. Moncy, K. Karuturi, Extended Kalman Filter-based Attitude Estimation using Magnetometer-and Sun Sensor-Aided MEMS Gyros, Communication and Control for Robotic Systems, (2022) 221-235.
[22] S. Wang, A. Yousefpour, A. Yusuf, H. Jahanshahi, R. Alcaraz, S. He, J.M. Munoz-Pacheco, Synchronization of a non-equilibrium four-dimensional chaotic system using a disturbance-observer-based adaptive terminal sliding mode control method, Entropy, 22 (2020) 271.
[23] A. Rajaei, A. Vahidi-Moghaddam, M. Ayati, M. Baghani, Integral sliding mode control for nonlinear damped model of arch microbeams, Microsystem Technologies, 25 (2019) 57-68.
[24] A. Rajaei, A. Vahidi‐Moghaddam, A. Chizfahm, M. Sharifi, Control of malaria outbreak using a non‐linear robust strategy with adaptive gains, IET Control Theory & Applications, 13 (2019) 2308-2317.
[25] A. Vahidi-Moghaddam, A. Rajaei, M. Ayati, Disturbance-observer-based fuzzy terminal sliding mode control for MIMO uncertain nonlinear systems, Applied Mathematical Modelling, 70 (2019) 109-127.
[26] B. Wang, M. Derbeli, O. Barambones, A. Yousefpour, H. Jahanshahi, S. Bekiros, A.A. Aly, M.M. Alharthi, Experimental validation of disturbance observer-based adaptive terminal sliding mode control subject to control input limitations for SISO and MIMO systems, European Journal of Control, 63 (2022) 151-163.
[27] M. Ayati, H. Khaloozadeh, A stable adaptive synchronization scheme for uncertain chaotic systems via observer, Chaos, Solitons & Fractals, 42 (2009) 2473-2483.
[28] R. Vatankhah, F. Karami, H. Salarieh, Observer-based vibration control of non-classical microcantilevers using extended Kalman filters, Applied Mathematical Modelling, 39 (2015) 5986-5996.
[29] J.F. Rhoads, S.W. Shaw, K.L. Turner, The nonlinear response of resonant microbeam systems with purely-parametric electrostatic actuation, Journal of Micromechanics and Microengineering, 16 (2006) 890.
[30] P. Tooranjipour, R. Vatankhah, M.M. Arefi, Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time‐varying delayed systems with unknown control directions and dead‐zone input, International Journal of Adaptive Control and Signal Processing, 33 (2019) 1134-1156.
[31] P. Tooranjipour, R. Vatankhah, A. Khosravifard, Design of a nonsingular adaptive fuzzy backstepping controller for electrostatically actuated microplates, Applied Mathematical Modelling, 88 (2020) 283-306.
[32] A. Yousefpour, H. Jahanshahi, S. Bekiros, J.M. Muñoz-Pacheco, Robust adaptive control of fractional-order memristive neural networks, in:  Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications, Elsevier, 2021, pp. 501-515.
[33] A. Yousefpour, H. Jahanshahi, D. Gan, Fuzzy integral sliding mode technique for synchronization of memristive neural networks, in:  Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications, Elsevier, 2021, pp. 485-500.
[34] P. Tooranjipour, R. Vatankhah, Adaptive critic-based quaternion neuro-fuzzy controller design with application to chaos control, Applied Soft Computing, 70 (2018) 622-632.
[35] A. Vahidi-Moghaddam, M. Mazouchi, H. Modares, Memory-augmented system identification with finite-time convergence, IEEE Control Systems Letters, 5 (2020) 571-576.
[36] A. Vahidi-Moghaddam, M. Mazouchi, H. Modares, Learning dynamics system models with prescribed-performance guarantees using experience-replay, in:  2021 American Control Conference (ACC), IEEE, 2021, pp. 1941-1946.
[37] Z. Li, A. Vahidi-Moghaddam, H. Modares, J. Sun, Adaptive finite-time disturbance rejection for nonlinear systems using an experience-replay based disturbance observer, arXiv preprint arXiv:2007.14565, (2020).
[38] M.R. Hajidavalloo, F.A. Shirazi, M.J. Mahjoob, Performance of different optimal charging schemes in a solar charging station using dynamic programming, Optimal Control Applications and Methods, 41 (2020) 1568-1583.
[39] M.R. Hajidavalloo, F. Ayatolah Zadeh Shirazi, M. Mahjoob, Energy cost minimization in an electric vehicle solar charging station via dynamic programming, Journal of Computational Applied Mechanics, 51 (2020) 275-280.