On Generalized Dynamic Preisach Operator With Application to Hysteresis Nonlinear Systems

The behavior of hysteresis as a controlled plant obviously changes with not only the history of input, but also the compressive stress and excitation rate experienced. In this paper, a generalized dynamic Preisach operator is proposed for describing the dynamic hysteresis nonlinearity under varying compressive stress, excitation rate, as well as their couple effect, which can also be expanded for other varying factors, such as temperature, etc.. The developed operator features introducing the dependence of the density function on the compressive stress and excitation rate to the classical Preisach operator by a multi-criteria decision-making evaluation framework. The parameter identification scheme employing a fuzzy tree method is investigated to formulate the inverse compensator. On accounting of application, a feedback control scheme combined with a feedforward compensator is implemented to a magnetostrictive smart structure for real-time precise trajectory tracking. Both simulations and experiments demonstrate the proposed operator and corresponding control scheme a dramatically improved performance of mitigating the effects of hysteresis.

[1]  Shuying Cao,et al.  Modeling of magnetomechanical effect behaviors in a giant magnetostrictive device under compressive stress , 2008 .

[2]  Jiangang Zhang,et al.  Adaptive-tree-structure-based fuzzy inference system , 2005, IEEE Trans. Fuzzy Syst..

[3]  Ralph C. Smith,et al.  Model-Based Robust Control Design for Magnetostrictive Transducers Operating in Hysteretic and Nonlinear Regimes , 2007, IEEE Transactions on Control Systems Technology.

[4]  Gang Tao,et al.  Adaptive control of plants with unknown hystereses , 1995 .

[5]  Yonghong Tan,et al.  Diagonal recurrent neural network with modified backlash operators for modeling of rate-dependent hysteresis in piezoelectric actuators , 2008 .

[6]  John S. Baras,et al.  Modeling and control of a magnetostrictive actuator , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[7]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[8]  Ranjan Ganguli,et al.  Modeling and compensation of piezoceramic actuator hysteresis for helicopter vibration control , 2007 .

[9]  K. H. Hoffmann,et al.  A least squares method for finding the preisach hysteresis operator from measurements , 1989 .

[10]  A. Visintin Differential models of hysteresis , 1994 .

[11]  Xiaobo Tan,et al.  Control of hysteresis: theory and experimental results , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[12]  Wei Tech Ang,et al.  Feedforward Controller With Inverse Rate-Dependent Model for Piezoelectric Actuators in Trajectory-Tracking Applications , 2007, IEEE/ASME Transactions on Mechatronics.

[13]  John S. Baras,et al.  Modeling and control of hysteresis in magnetostrictive actuators , 2004, Autom..

[14]  Hui Chen,et al.  A neural networks based model for rate-dependent hysteresis for piezoceramic actuators , 2008 .

[15]  Alberto Cavallo,et al.  Hysteresis compensation of smart actuators under variable stress conditions , 2008 .

[16]  Alison B. Flatau,et al.  Coupled structural-magnetic strain model for magnetostrictive transducers , 1999, Smart Structures.

[17]  Xu Hui-bin Study on Giant Magnetostrictive Material Actuator and Its Resonant Frequency , 2007 .

[18]  I. D. Mayergoyz,et al.  Optimal control of dynamical systems with Preisach hysteresis , 2002 .

[19]  Ram Venkataraman,et al.  On the identification of Preisach measures , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[20]  Chun-Yi Su,et al.  Development of the rate-dependent Prandtl–Ishlinskii model for smart actuators , 2008 .

[21]  Ping Ge,et al.  Tracking control of a piezoceramic actuator , 1996, IEEE Trans. Control. Syst. Technol..

[22]  Yong-Hong Tan,et al.  Adaptive output feedback control of systems preceded by the Preisach-type hysteresis , 2005, IEEE Trans. Syst. Man Cybern. Part B.