Model-Based Control for Piezoelectric-Actuated Systems Using Inverse Prandtl-Ishlinskii Model and Particle Swarm Optimization
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In this paper feedforward controller is designed to eliminate nonlinear hysteresis behaviors of a piezoelectric stack actuator (PSA) driven system. The control design is based on inverse Prandtl-Ishlinskii (P-I) hysteresis model identified using particle swarm optimization (PSO) technique. Based on the identified P-I model, both the inverse P-I hysteresis model and feedforward controller can be determined. Experimental results obtained using the inverse P-I feedforward control are compared with their counterparts using hysteresis estimates obtained from the identified Bouc-Wen model. Effectiveness of the proposed feedforward control scheme is demonstrated. To improve control performance feedback compensation using traditional PID scheme is adopted to integrate with the feedforward controller.
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References
- Q. Xu and P.-K. Wong, "Hysteresis modeling and compensation of a piezostage using least squares support vector machines," Mechatronics, vol. 21, pp. 1239-1251, 2011.
- C.-J. Lin and P.-T. Lin, "Particle swarm optimization based feedforward controller for a XY PZT positioning stage," Mechatronics, vol.22, pp.614-628, 2012.
- P.-K. Wong and Q. Xu, "Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine," IEEE Trans. Industrial Electronics, vol. 59, no.4, pp.1988-2001, 2012.
- W. Li and X. Chen, "Compensation of hysteresis in piezoelectric actuators without dynamics modeling," Sensors and Actuators A: Physical, vol. 199, pp.89-97, 2013.
- W. T. Ang, K. Khosla and C. N. Riviere, "Feedforward controller with inverse rate-dependent model for piezoelectric actuators in trajectory-tracking applications," IEEE/ASME Trans. Mechatronics, vol. 12, no. 2, 2007.
- I. D. Mayergoyz, ThePreisach model for hysteresis, Berlin: Springer, 1991.
- I. D. Mayergoyz, "Dynamic Preisach models of hysteresis," IEEE Trans. Magn, vol. 24, pp.2925-2927, 1988.
- R. Bouc, "Forced vibration of mechanical systems with hysteresis," In: 4thInternational Conference on Nonlinear Oscillation, 1967.
- Y. K. Wen, "Method of random vibration of hysteretic systems," Journal of Engineering Mechanics, vol. 102, pp.249-263, 1976. [10] X. Zhang, Y. Huang, J. Liu, X. Wang and F. Gao, "A method identifying the parameters of Bouc-Wen hysteresis nonlinear model based on genetic algorithm,"Intell. Process Syst., pp.662-665, 1997. [11] Y. Bazi, "Semisupervised PSO-SVM regression for biophysical parameter estimation," IEEE Trans. Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1887-1895, 2007. [12] M. Marinaki, Y. Marinakis and G. E. Stavroulakis, "Vibration control of beams with piezoelectric sensors and actuators using particle swarm optimization," Expert Systems with Applications, vol. 38, pp.6872-6883, 2011. [13] C.-C. Kao and R.-F. Fung, "Using the modified PSO method to identify a Scott-Russell mechanism actuated by a piezoelectric element," Mechanical Systems and Signal Processing, vol. 23, pp.1652-1661, 2009. [14] M.-J. Yang, G.-Y. Gu and L.-M. Zhu, "Parameter identification of the generalized Prandtl-Ishlinskii model for piezoelectric actuators using modified particle swarm optimization," Sensors and Actuators A: Physical, vol. 189, pp. 254-265, 2013.