Abstract
Magnetostrictive actuators are high-force low-displacement actuators, which are profitably utilized in many engineering applications such as, high dynamic servo valves, micro/nano-positioning systems and optical systems. Nevertheless, magnetostrictive actuators are subject to hysteresis effects and input saturation, which lead poor system performances, e.g. inaccuracy and strong oscillations. To mitigate these effects, in this paper an adaptive controller with an anti-windup technique is developed. The anti-windup technique is particularly used for dealing with the input saturation effect. The simulation results demonstrate the effectiveness of the proposed controller.
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References
Li, Z., Su, C.-Y., Chai, T.: Compensation of hysteresis nonlinearity in magnetostrictive actuators with inverse multiplicative structure for preisach model. IEEE Trans. Autom. Sci. Eng. 11(2), 613–619 (2014)
Gu, G., Zhu, L., Su, C.-Y.: Modeling and compensation of asymmetric hysteresis nonlinearity for piezoceramic actuators with a modified prandtl-ishlinskii model. IEEE Trans. Ind. Electron. 61(3), 1583–1595 (2014)
Abidi, K., Sabanovic, A.: Sliding-mode control for high-precision motion of a piezostage. IEEE Trans. Ind. Electron. 54(1), 629–637 (2007)
Shieh, H.-J., Hsu, C.-H.: An adaptive approximator-based backstepping control approach for piezoactuator-driven stages. IEEE Trans. Ind. Electron. 55(4), 1729–1738 (2008)
Chen, M., Ge, S.: Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer. IEEE Trans. Ind. Electron. 62(12), 7706–7716 (2015)
Nikdel, N., Nikdel, P., Badamchizadeh, M.A., Hassanzadeh, I.: Using neural network model predictive control for controlling shape memory alloy-based manipulator. IEEE Trans. Ind. Electron. 61(3), 1394–1401 (2014)
Teel, A.R., Zaccarian, L., Marcinkowski, J.J.: An anti-windup strategy for active vibration isolation systems. Control Eng. Pract. 14(1), 17–27 (2006)
Sun, W., Zhao, Z., Gao, H.: Saturated adaptive robust control for active suspension systems. IEEE Trans. Ind. Electron. 60(9), 3889–3896 (2013)
Li, Z.: Modeling and Control of Magnetostrictive-actuated Dynamic Systems. Ph.D. thesis, Concordia University, Canada, February 2015
Goldfarb, M., Celanovic, N.: Modeling piezoelectric stack actuators for control of micromanipulation. IEEE Control Syst. 17(3), 69–79 (1997)
Adriaens, H., Koning, W., Banning, R.: Modeling piezoelectric actuators. IEEE/ASME Trans. Mechatron. 5(4), 331–341 (2000)
Li, Z., Su, C.-Y., Chen, X.: Modeling and inverse adaptive control of asymmetric hysteresis systems with applications to magnetostrictive actuator. Control Eng. Pract. 33, 148–160 (2014)
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Li, Z., Su, CY. (2016). Adaptive Control of Magnetostrictive-Actuated Positioning Systems with Input Saturation. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9834. Springer, Cham. https://doi.org/10.1007/978-3-319-43506-0_55
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DOI: https://doi.org/10.1007/978-3-319-43506-0_55
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