A control strategy for electro-magneto-mechanical system based on virtual system model

2016 ◽  
Vol 30 (9) ◽  
pp. 4075-4081
Author(s):  
Hong-youn Kim ◽  
Young-min Yun ◽  
Hoon Heo
Keyword(s):  
Mechanical System ◽  
Control Strategy ◽  
System Model ◽  
Virtual System

Study and Simulation on Truck Front Suspension Using ADAMS

2013 ◽  
Vol 433-435 ◽  
pp. 2235-2238
Author(s):  
Wei Ning Bao
Keyword(s):  
System Dynamics ◽  
Mechanical System ◽  
Steering System ◽  
Front Wheel ◽  
System Model ◽  
Simulation Test ◽  
Front Suspension ◽  
Body Dynamics ◽  
Wheel Alignment ◽  
Multi Body

The mechanical system dynamics software,ADAMS,is used to establish multi-body dynamics system model for a truck front suspension and steering system. Through the simulation test of wheel travel, front wheel alignment parameters changing along with the wheel travel was obtained.

Control Method for Flexible Joints in Manipulator Based on BP Neural Network Tuning PI Controller

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3146
Author(s):  
Hexu Yang ◽  
Xiaopeng Li ◽  
Jinchi Xu ◽  
Dongyang Shang ◽  
Xingchao Qu
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Bp Neural Network ◽  
Servo System ◽  
Pole Assignment ◽  
Pi Controller ◽  
Friction Torque ◽  
System Model ◽  
Angle Error ◽  
Assignment Method

With the development of robot technology, integrated joints with small volume and convenient installation have been widely used. Based on the double inertia system, an integrated joint motor servo system model considering gear angle error and friction interference is established, and a joint control strategy based on BP neural network and pole assignment method is designed to suppress the vibration of the system. Firstly, the dynamic equation of a planetary gear system is derived based on the Lagrange method, and the gear vibration of angular displacement is calculated. Secondly, the vibration displacement of the sun gear is introduced into the motor servo system in the form of the gear angle error, and the double inertia system model including angle error and friction torque is established. Then, the PI controller parameters are determined by pole assignment method, and the PI parameters are adjusted in real time based on the BP neural network, which effectively suppresses the vibration of the system. Finally, the effects of friction torque, pole damping coefficient and control strategy on the system response and the effectiveness of vibration suppression are analyzed.

Full Sheet Control Through the Use of Steer-Able Nips

2007 ◽  
Author(s):  
Edgar I. Ergueta ◽  
Rene E. Sanchez ◽  
Roberto Horowitz ◽  
Masayoshi Tomizuka
Keyword(s):  
Control Strategy ◽  
High Speed ◽  
State Feedback ◽  
State Of The Art ◽  
Nonholonomic Constraints ◽  
System Model ◽  
Control Law ◽  
Experimental Setup ◽  
Image Transfer ◽  
Transfer Station

State of the art high speed color printers require sheets being accurately positioned as they arrive to the image transfer station (ITS). This goal has been achieved by constructing and building a steerable nips mechanism, which is located upstream from the ITS. This mechanism consists of two rollers which not only rotate to advance the paper along the track, but also steer the paper in the yaw direction. This paper presents the design, experimental setup, system model, and the control law necessary to precisely correct for the lateral and angular positions of the sheet as well as to deliver it on time to the ITS. The system model is nonlinear and subject to four nonholonomic constraints. The control strategy used is based on linearization by state feedback with the addition of internal loops for the control of the process direction velocity and steering position of the rollers. This paper also provides a formal convergence analysis for the controller designed as well as the methodology required to tune it. The success of this mechatronic approach is corroborated through simulation and experimental results, which show that the controller is able to correct sheet errors under the condition that the page has nonzero initial and final longitudinal velocities.

Independent Inverse System Decoupling Control Strategy of Bearingless Induction Motor

2020 ◽  
Vol 13 (7) ◽  
pp. 1001-1009
Author(s):  
Wenshao Bu ◽  
Panchao Lu ◽  
Chunxiao Lu ◽  
Yi Pu
Keyword(s):  
Induction Motor ◽  
Control Strategy ◽  
Inverse Model ◽  
Suspension System ◽  
Inverse System ◽  
Magnetic Suspension ◽  
Decoupling Control ◽  
System Model ◽  
Independent Control ◽  
Magnetic Suspension System

Background: In the existing inverse system decoupling methods of bearingless induction motor, the inverse system model is more complex, and it is not easy to realize the independent control of the magnetic suspension system. In this paper, in order to simplify its inverse system model, an independent inverse system decoupling control strategy is proposed. Methods: Under the conditions of considering the current dynamics of torque windings, the state equations of torque system and those of magnetic suspension system are established, and the independent inverse system model of torque system and that of the magnetic suspension system are deduced. The air gap fluxlinkage of the torque system that is needed in the magnetic suspension system is identified by an independent voltage model. After the independent inverse model of torque system and that of magnetic suspension system are connected in parallel, they are connected in front of the original system of a bearingless induction motor. After this, the torque system is decoupled into two second-order integral subsystems, i.e. a fluxlinkage subsystem and a motor speed subsystem, while the magnetic suspension system is decoupled into another two second-order integral subsystems, i.e. the α- and β-displacement component subsystems. The design of the additional closed-loop controller is achieved through the pole assignment method. Result: The obtained inverse model of the magnetic suspension system is independent of the fluxlinkage orientation mode of torque system, and thus the flexibility of the independent control for the torque system and magnetic suspension system is increased. The simulation results have shown that the system has good static- and dynamic-decoupling control performance. Conclusion: The proposed independent inverse system decoupling control strategy is effective and feasible.

Analysis on Composite Action Control Strategy of Separate Meter-In Separate Meter-Out Control System

2014 ◽  
Vol 721 ◽  
pp. 342-348
Author(s):  
Wan Rong Wu ◽  
Jian Chao Yao
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Working Conditions ◽  
Control Strategy ◽  
Hydraulic System ◽  
System Model ◽  
Transmission Model ◽  
Composite Action ◽  
Composite Control ◽  
Actuator System

Based on the shortcomings of traditional multi actuator composite action on its coordination and load adaptability, this paper has put forward a hydraulic system model where separate meter-in separate meter-out controls the multi actuator, according to different action working conditions of actuator, it has provided a composite control strategy based on pressure flow, and through AMEsim and MATLAB, it has established the composite action hydraulic transmission model of double-actuator system and simulation model of control system, and then conducted co-simulation to verify the designed controller’s good coordination and load adaptability to the separate meter-in and separate meter-out control system under different composite action working conditions.

Stable Control Strategy for Planar Three-Link Underactuated Mechanical System

2016 ◽  
Vol 21 (3) ◽  
pp. 1345-1356 ◽  
Author(s):  
Xuzhi Lai ◽  
Yawu Wang ◽  
Min Wu ◽  
Weihua Cao
Keyword(s):  
Mechanical System ◽  
Control Strategy ◽  
Underactuated Mechanical System ◽  
Stable Control

scholarly journals Justification of the structure and determination of the mathematical model parameters for a mechanical system with tribospectral optimization

2021 ◽  
Vol 2131 (2) ◽  
pp. 022049
Author(s):  
P Shcherbak ◽  
M Kuznetsova ◽  
D Razuvaev
Keyword(s):  
Mechanical System ◽  
Vibration Signal ◽  
System Model ◽  
Model Parameters ◽  
Main Attention ◽  
Vibration Acceleration ◽  
Optimization Parameter ◽  
Working Bodies ◽  
The Mathematical Model

Abstract The questions of determining the structure and parameters of the working bodies mechanical system model for the track renewal train with tribospectral optimization are considered. It is proposed that the tribospectral characteristics should be considered as an optimization parameter recognition source. The main attention is paid to the identification of the main regularities in the realized tribospectrum of the useful vibration signal. Based on the results of processing the vibration acceleration spectra, possible signs of optimization assessment are proposed.

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