Nonlinear hysteresis model and control of magnetostrictive micropositioner

Zhi-feng, Tang

doi:10.3901/jme.2007.06.055

Cited by 3 publications

(2 citation statements)

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“…The proposed compensator is applied as a feedforward compensator to the actuator can substantially suppress the hysteresis and output asymmetry nonlinearities in the entire frequency range considered in the study. Reference [31] studied the GMM nonlinear compensation problem based on different methods, but only provided general qualitative analysis in terms of iterative compensation and adopted a fixed step size Δu for the iterations. To satisfy the control accuracy requirements, the step size Δu cannot be too large, but very small values will reduce the execution efficiency of the program.…”

Section: Introductionmentioning

confidence: 99%

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Wang

Shi

et al. 2021

Journal of Sensors

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Linearity is an important index for evaluating the performance of various sensors. Under the Villari effect, there may be some hysteresis between the input force and the output voltage of a force sensor, meaning that the output will be multivalued and nonlinear. To improve the linearity and eliminate the hysteresis of such sensors, an output compensation method using a variable bias current is proposed based on the bidirectional energy conversion mechanism of giant magnetostrictive material. First, the magnetization relationship between the input force, bias current, and flux density is established. Second, a nonlinear neural network model of the force-magnetization hysteresis and a neural network model for the compensation control of the force sensor are established. These models are trained using the magnetic flux density-force curve and the magnetic flux density-current curve, respectively. Taking the optimal linearity as the objective function, the bias current under different input forces is optimized. Finally, a bias current control system is developed and an experimental test platform is built to verify the proposed method. The results show that the proposed variable bias current hysteresis compensation method enables the linearity under the return of the force sensor to reach 1.6%, which is around 48.3% higher than under previous methods. Thus, the proposed variable bias current method effectively suppresses the hysteresis phenomenon and provides improved linearity for giant magnetostrictive force sensors.

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Section: Introductionmentioning

confidence: 99%

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Wang

Shi

et al. 2021

Journal of Sensors

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“…Fig.3 Equivalent magnetic circuit A G , B G andΦ G are cross-sectional area, magnetic flux density and magnetic flux of the GMM rod; A p , B r , Φ p , P p and U p are cross-section, residual magnetic flux density, magnetic flux, permeability, and MMF of permanent magnet; A g , B g andΦ g are cross-sectional area, magnetic flux density and magnetic flux of MRF gap; Φ c , P c and U c are magnetic flux, permeability, and MMF of magnetic flux c; Φ d , P d and U d are magnetic flux, permeability, and MMF of magnetic flux d. So There are relationships based on Kirchhoff's law of magnetic circuit:Φ g =Φ c +Φ G (5) U p +U c = U p +U d =0 (6) Φ p =Φ G +Φ c +Φ l (7) Φ p = P p U p +A p B r (8) Φ c = P c U c (9) Φ d = P d U d(10) There is a relationship calculated form (6) and(7):Φ c =…”

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confidence: 99%

Research on Modelling and Experiment for Passive Adaptive MR Damper Based on GMM Inverse Effect

Ding

Liu

et al. 2014

KEM

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Aiming at the limit of energy in quakeproof, aerospace and field ordnance, and requirements for damper’s different damping force in vehicle vibration’s pull and press stroke, a passive adaptive MR damper was designed and made. Passive adaptive MR damper is a new type of damper based on GMM inverse effect and MR effect, and it doesn’t need energy devices and can realize external force self-adaptation. A model of passive adaptive MR damper is established based on Jiles-Atherton model, the law of approach for the magneto mechanical effect, the magnetic circuit law and Bingham model. Experimental results show that the value of damping force is related to displacement and velocity: the larger the displacement, the greater the damping force; the faster the speed, the greater the damping force. This is consistent with the model. The damper has characteristic of load adaptive. Feasibility of the design was verified.

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Research on positioning of GMA based on improved Prandtl-Ishlinskii model

Deng

Zhen

et al. 2011

2011 International Conference on Electric Information and Control Engineering

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Positioning precision of giant magnetostrictive actuator (GMA) is seriously effected by hysteresis nonlinearity of giant magnetostrictive material (GMM). To solve the problem, based on improved Prandtl-Ishlinskii model and experimental data, the hysteresis model related to the stress of GMA and its hysteresis inverse model were established in the paper. The proportional controller with feedforward compensation using the improved Prandtl-Ishlinskii inverse model of GMA was designed. The measuring and controlling system for GMA were established, and the experiments were carried out. Simulation and experimental results show that the method proposed in the paper can realize precision positioning with high accuracy.

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Nonlinear hysteresis model and control of magnetostrictive micropositioner

Cited by 3 publications

References 0 publications

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Research on Modelling and Experiment for Passive Adaptive MR Damper Based on GMM Inverse Effect

Research on positioning of GMA based on improved Prandtl-Ishlinskii model

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