An electromechanical coupling model of a bending vibration type piezoelectric ultrasonic transducer

Ultrasonics ◽  
2016 ◽  
Vol 66 ◽  
pp. 18-26 ◽  
Author(s):  
Qiang Zhang ◽  
Shengjun Shi ◽  
Weishan Chen
Keyword(s):  
Electromechanical Coupling ◽  
Ultrasonic Transducer ◽  
Coupling Model ◽  
Bending Vibration

MODELLING AND ANALYSIS OF A PIEZOELECTRIC ANNULAR STATOR STRUCTURE FOR A NEW IN-SITU DYNAMIC BALANCE REGULATOR

2012 ◽  
Vol 36 (3) ◽  
pp. 271-296
Author(s):  
Zhe Du ◽  
Xuesong Mei ◽  
Muxun Xu
Keyword(s):  
Electromechanical Coupling ◽  
Structural Parameters ◽  
Dynamic Balance ◽  
Excitation Frequency ◽  
Coupling Model ◽  
The Finite Element Method ◽  
Bending Vibration ◽  
Precise Control ◽  
The Mathematical Model

This paper presents the modelling and analysis of a piezoelectric annular stator structure for a new in-situ dynamic balance regulator which is driven by the in-plane bending vibration of the stator. The mathematical model for the in-plane vibration is first developed using an analytical method to determine the theoretical excitation frequency. The excitation modes and structural parameters are then analysed to optimise the performance of the stator. To improve the efficiency of the design and to achieve precise control, a semi-analytical electromechanical coupling model is developed using the dynamic substructure method and the finite element method. The model is verified in preliminary tests.

Integrated Design of Airborne Radar Servo System Based on MATLAB/SIMULINK

2011 ◽  
Vol 204-210 ◽  
pp. 17-20
Author(s):  
Ding Zhen Li ◽  
Rui Min Jin
Keyword(s):  
Optimization Model ◽  
Electromechanical Coupling ◽  
Integrated Design ◽  
Control Design ◽  
Servo System ◽  
Coupling Model ◽  
Transmission System ◽  
Airborne Radar ◽  
Matlab Simulink ◽  
And Control

This thesis is according to the pitching part of airborne radar servo system. The electromechanical coupling model and optimization model which includes structure parameters and control parameters are built up based on model of mechanism transmission system and electricity control system. The dynamics model of mechanism transmission system includes the nonlinearity of backlash and is considered the influence of parameters for dynamics properties in structure of the mechanism transmission system. The method of integrated structure and control design is applied on the optimization model using GA. Simulation is done based on MATLAB/SIMULINK. Simulation results show that the method of integrated structure and control design is feasible and effective in servo system.

scholarly journals Electromechanical Dynamic Behaviour and Start-Up Evaluation of Tumbling Ball Mills

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Weidong Lv ◽  
Guoqiang Wang ◽  
He Tian
Keyword(s):  
Dynamic Model ◽  
Ball Mill ◽  
Electromechanical Coupling ◽  
Coupling Model ◽  
Angular Speed ◽  
Experimental Results ◽  
Ball Mills ◽  
Start Up ◽  
Dynamic Simulator ◽  
Simulation Results

This paper presents a dynamic simulator of the electromechanical coupling start-up of a ball mill. The electromechanical coupling model based on the dynamic model of the ball mill, the characteristic equation of the clutch, and the dynamic model of the induction motor is established. Comparison between the simulation results of angular speed, load torque and current obtained from the model, and the experimental results is conducted to validate the correctness of these simulation results. Results show that the simulation results of the electromechanical model are highly consistent with the experimental results. Two indexes are proposed for evaluation. Finally, a 4500 kW ball mill is used to analyse the start-up process with different operation parameters of the air clutch. The effect of the engagement time and the pressure of the air clutch on the torque, current, and shock extent is analysed. Moreover, the optimum inflation time is determined.

scholarly journals Electromechanical coupling dynamic modeling and analysis of vertical electrodynamic shaker considering low frequency lateral vibration

2020 ◽  
Vol 12 (10) ◽  
pp. 168781402096385
Author(s):  
Shuguang Zuo ◽  
Zhaoyang Feng ◽  
Jian Pan ◽  
Xudong Wu
Keyword(s):  
Dynamic Model ◽  
Electromechanical Coupling ◽  
Low Frequency ◽  
Coupling Model ◽  
Vertical Position ◽  
Force Model ◽  
Lateral Vibration ◽  
Modeling And Analysis ◽  
Electrodynamic Shaker ◽  
Coupling Dynamic

For the problem of relatively severe lateral vibration found in the vertical electrodynamic shaker experiment, an electromechanical coupling dynamic model of the electrodynamic shaker considering low-frequency lateral vibration is proposed. The reason and mechanism of the lateral vibration is explained and analyzed through this model. To establish this model, an electromagnetic force model of overall conditions is firstly built by fitting force samples with neural network method. The force samples are obtained by orthogonal test of finite element simulation, in which five factors of the moving coil including current, vertical position, flipping eccentricity angle, radial translational eccentric direction and distance are considered. Secondly, a 7-dof dynamic model of the electrodynamic shaker is developed with the consideration of the lateral vibration of the moving system. To obtain the transfer function accurately, the stiffness and damping parameters are identified. Finally, an electromechanical dynamic model is established by coupling the force model and the 7-dof dynamic model, and it is verified by experiments. The coupling model proposed can be further used for the control and optimization of the electrodynamic shaker.

scholarly journals Adaptive Inverse Control Based on Kriging Algorithm and Lyapunov Theory of Crawler Electromechanical System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Guanyu Zhang ◽  
Yitian Wang ◽  
Yiyao Fan ◽  
Chen Chen
Keyword(s):  
Electromechanical Coupling ◽  
Control Method ◽  
Coupling Model ◽  
Virtual Prototype ◽  
Lyapunov Theory ◽  
Electromechanical System ◽  
Prototype Model ◽  
Control Effect ◽  
Adaptive Inverse Control ◽  
Inverse Control

The electromechanical system of a crawler is a multi-input, multioutput strongly coupled nonlinear system. In this study, an adaptive inverse control method based on kriging algorithm and Lyapunov theory is proposed to improve control accuracy during adaptive driving. The electromechanical coupling model of the electromechanical system is established on the basis of the dynamic analysis of the crawler. In accordance with the kriging algorithm, the inverse model of the electromechanical system of the crawler is established by offline data. The adaptive travel control law of the crawler is obtained on the basis of Lyapunov theory. Combined with the kriging algorithm, the adaptive driving reverse control method is designed, and the online system is used to update and perfect the inverse system model in real time. Finally, the virtual prototype model of the crawler is established, and the control effect of the adaptive inverse control method is verified by theoretical analysis and virtual prototype simulation.

Characteristics of Self-Synchronization of Dual-Rotors System

2012 ◽  
Vol 249-250 ◽  
pp. 366-371
Author(s):  
Nan Zhang
Keyword(s):  
Electromechanical Coupling ◽  
Practical Importance ◽  
Transition Process ◽  
Coupling Model ◽  
The Self ◽  
Self Healing ◽  
Lagrange Principle ◽  
Synchronous State ◽  
Synchronous System ◽  
Synchronous Motion

The characteristics of the self-synchronization in the offset self-synchronous system are put forward. In the paper, based on Lagrange principle, a dynamic model is derived to give its electromechanical-coupling model, which is provided with many variable no-linear characters. A serious of the practical phenomena in the transition process of the system is reasonably explained using the numerical solution simulation, and the variations rules of each parameter in the system are discussed at several types of the typical status. Finally the characteristics of the self-synchronization in the system are generated under the action of the electromechanical coupling. The visually processes are shown in the simulation results, for which the conventional mechanic models are unavailable to explain quantitatively, in which the vibration machines implement fully the transition from asynchronous to synchronous state or from one type of synchronous state to other type. It is fully verified that the system is with the self-healing synchronous ability, and the synchronous movement rules in the electromechanical coupling system are also revealed. For its research not only it is useful to explore the electromechanical coupling model of the offset self-synchronous system, but also it is in-depth to study synchronous motion rules of the self-synchronous system, and it is of the theoretical and practical importance.

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