Study on Track Control to the Multiple Degrees of Freedom Mechanical Arm of the Sampling Machine for Coal at Railway Carriage

2012 ◽  
Vol 542-543 ◽  
pp. 963-967
Author(s):  
Zhi Xue Tong ◽  
Li Chen Shi ◽  
Jing Yang ◽  
Li Gang Zhang
Keyword(s):  
Motion Control ◽  
Intelligent Control ◽  
Hydraulic System ◽  
Degrees Of Freedom ◽  
Optimization Method ◽  
Hydraulic Press ◽  
Servo Control ◽  
Multiple Degrees Of Freedom ◽  
Servo Control System ◽  
Set Up

The multiple degrees of freedom mechanical arm of sampling machine for coal at railway carriage is driven by hydraulic press. It is a kind of joint. During working, the sampling head not only keeps in its poses, but also moves along a straight path. The mechanical arm’s motion is resolved into three independent motion systems, foundation rotation, straight motion of 3 degrees of freedom kinematics chain, and servo control system of the sampling head. A group of motion equations is set up. According to the reversion theory and optimization method, the motion control model is built up in order to reappear the motion track. The method is efficient to solve the motion control problem. And the result of driving curve is more suitable for the hydraulic system. This method is useful for motion intelligent control of different kinds of joint manipulator.

scholarly journals Vision Servo Motion Control and Error Analysis of a CoplanarXXYStage for Image Alignment Motion

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Hau-Wei Lee ◽  
Chien-Hung Liu
Keyword(s):  
Motion Control ◽  
Degrees Of Freedom ◽  
Servo Control ◽  
Image Alignment ◽  
Work Piece ◽  
Alignment Algorithm ◽  
Alignment System ◽  
Vision Servo ◽  
Smart Mobile ◽  
Touch Panels

In recent years, as there is demand for smart mobile phones with touch panels, the alignment/compensation system of alignment stage with vision servo control has also increased. Due to the fact that the traditional stacked-typeXYθstage has cumulative errors of assembly and it is heavy, it has been gradually replaced by the coplanar stage characterized by three actuators on the same plane with three degrees of freedom. The simplest image alignment mode uses two cameras as the equipments for feedback control, and the work piece is placed on the working stage. The work piece is usually engraved/marked. After the cameras capture images and when the position of the mark in the camera is obtained by image processing, the mark can be moved to the designated position in the camera by moving the stage and using alignment algorithm. This study used a coplanarXXYstage with 1 μm positioning resolution. Due to the fact that the resolution of the camera is about 3.75 μm per pixel, thus a subpixel technology is used, and the linear and angular alignment repeatability of the alignment system can achieve 1 μm and 5 arcsec, respectively. The visual servo motion control for alignment motion is completed within 1 second using the coplanarXXYstage.

scholarly journals SHORTEST PATH DETERMINATION BETWEEN EDUCATIONAL INSTITUTIONS OF RĒZEKNE MUNICIPALITY

2017 ◽  
Vol 3 ◽  
pp. 451
Author(s):  
Pēteris Grabusts ◽  
Jurijs Musatovs
Keyword(s):  
Simulated Annealing ◽  
Degrees Of Freedom ◽  
Travelling Salesman Problem ◽  
Optimization Method ◽  
Educational Institutions ◽  
Travelling Salesman ◽  
Simulated Annealing Method ◽  
Multiple Degrees Of Freedom ◽  
Combinatorial System ◽  
Annealing Method

This study describes an optimization method called Simulated Annealing. The Simulated Annealing method is widely used in various combinatorial optimization tasks. Simulated Annealing is a stochastic optimization method that can be used to minimize the specified cost function given a combinatorial system with multiple degrees of freedom. In this study the application of the Simulated Annealing method to a well - known task of combinatorial analysis, Travelling Salesman Problem, is demonstrated and an experiment aimed to find the shortest tour distances between educational institutions of Rēzekne Municipality is performed. It gives possibilities to analyze and search optimal schools' network in Rēzekne Municipality.

Research on Parameter Tuning Method for Numerical Control AC Servo Control System

2012 ◽  
Vol 192 ◽  
pp. 375-379
Author(s):  
Hong Zheng
Keyword(s):  
Control System ◽  
Motion Control ◽  
Manufacturing Industry ◽  
Parameter Tuning ◽  
Servo Control ◽  
Numerical Control ◽  
Current Loop ◽  
Ac Servo ◽  
Servo Control System ◽  
Equipment Manufacturing

Equipment manufacturing industry is an important factor to measure a country's comprehensive national strength. The servo control technology is one of the core technologies of numerical control systems and motion control, as well as an important part of the equipment manufacturing. This paper, on the basis of motion control, studies the development status of servo control home and abroad and analyzes in-depth the various components of the AC servo control system and the parameter confirmation of the controller. It discusses the approximate processing on control system and simplification of passing functions and uses the best second-order tuning to set the project for the current loop Pl adjustment device, simplifying the current loop into an inertia link.

Build for Motion Control System of Planar Five-Bar Parallel Mechanism

2013 ◽  
Vol 397-400 ◽  
pp. 1563-1567
Author(s):  
Dong Yang Zhao ◽  
Hong Bing Xin ◽  
Quan Lai Li ◽  
Deng Qi Cui ◽  
Yue Fei Xin ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Parallel Mechanism ◽  
Parallel Robot ◽  
Servo Control ◽  
Motion Controller ◽  
The Core ◽  
Planning And Control ◽  
Servo Control System ◽  
And Control

MC206X motion controller being chosen as the core of the system, this paper built the control system of a planar five-bar parallel robot, achieved the debugging of the hardware of a full servo control system, developed the Motion Perfect software system on the basis of the Windows-based operating system to complete the planning and control of continuous paths.

Modeling and Simulation on Four-Way Valve Control Motor System of Cable Car Reel

2011 ◽  
Vol 299-300 ◽  
pp. 832-835
Author(s):  
Jun Mao ◽  
Guo Wei Mo
Keyword(s):  
Hydraulic System ◽  
Motor System ◽  
System Analysis ◽  
Servo Control ◽  
Design Parameters ◽  
Math Model ◽  
Servo Control System ◽  
Design Requirements ◽  
Valve Control ◽  
Design And Testing

In the cable car work process, the performance of valve control motor system directly influences the drum controlling accuracy and stability. In order to analyze the dynamic characteristic of servo hydraulic system and optimal design parameters, cost reduction and shortened product development cycles. Aiming at the cable car valve control motor major components of hydraulic system are analyzed, establishment of the math model, and deduces the transfer function. Using matlab software of system analysis of time domain. The results show that the system well meet the design requirements, and has good stability, and to the cable car drum the servo control system design and testing has laid a solid theoretical foundation.

scholarly journals Cooperative manipulation and transport of microobjects using multiple helical microcarriers

RSC Advances ◽  
2014 ◽  
Vol 4 (51) ◽  
pp. 26771-26776 ◽  
Author(s):  
Tian-Yun Huang ◽  
Famin Qiu ◽  
Hsi-Wen Tung ◽  
Kathrin E. Peyer ◽  
Naveen Shamsudhin ◽  
...  
Keyword(s):  
Motion Control ◽  
Degrees Of Freedom ◽  
Cooperative Manipulation ◽  
Multiple Degrees Of Freedom ◽  
Cooperative Transport

We report a cooperative transport strategy that uses engineered microbars and multiple helical microcarriers. Cooperation of microcarriers generates higher propulsive forces while application of forces at multiple locations results in motion control with multiple degrees of freedom.

A theory-guided deep-learning formulation and optimization of seismic waveform inversion

Geophysics ◽  
2020 ◽  
Vol 85 (2) ◽  
pp. R87-R99 ◽  
Author(s):  
Jian Sun ◽  
Zhan Niu ◽  
Kristopher A. Innanen ◽  
Junxiao Li ◽  
Daniel O. Trad
Keyword(s):  
Deep Learning ◽  
Seismic Data ◽  
Degrees Of Freedom ◽  
Data Science ◽  
Waveform Inversion ◽  
Optimization Method ◽  
Learning Rate ◽  
Physical Models ◽  
Seismic Waveform ◽  
Set Up

Deep-learning techniques appear to be poised to play very important roles in our processing flows for inversion and interpretation of seismic data. The most successful seismic applications of these complex pattern-identifying networks will, presumably, be those that also leverage the deterministic physical models on which we normally base our seismic interpretations. If this is true, algorithms belonging to theory-guided data science, whose aim is roughly this, will have particular applicability in our field. We have developed a theory-designed recurrent neural network (RNN) that allows single- and multidimensional scalar acoustic seismic forward-modeling problems to be set up in terms of its forward propagation. We find that training such a network and updating its weights using measured seismic data then amounts to a solution of the seismic inverse problem and is equivalent to gradient-based seismic full-waveform inversion (FWI). By refining these RNNs in terms of optimization method and learning rate, comparisons are made between standard deep-learning optimization and nonlinear conjugate gradient and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimized algorithms. Our numerical analysis indicates that adaptive moment (or Adam) optimization with a learning rate set to match the magnitudes of standard FWI updates appears to produce the most stable and well-behaved waveform inversion results, which is reconfirmed by a multidimensional 2D Marmousi experiment. Future waveform RNNs, with additional degrees of freedom, may allow optimal wave propagation rules to be solved for at the same time as medium properties, reducing modeling errors.

A Study of Simulation of Hydropreumatic Suspension Experiment Rig Based on AMESim and Matlab/Simulink

2014 ◽  
Vol 599-601 ◽  
pp. 207-211
Author(s):  
Zhi Qiang Chao ◽  
Chu Ming Ning ◽  
Hua Ying Li
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Control Algorithm ◽  
Scientific Basis ◽  
Servo Control ◽  
Fuzzy Pid Control ◽  
Servo Control System ◽  
Hydraulic Servo ◽  
Excellent Control ◽  
And Control

By analyzing the mechanical and control module of electro-hydraulic servo control system of hydropreumatic suspension experiment rig, and finding the corresponding mathematical model, and constructing a controller with fuzzy PID control algorithm, and then using AMESim with the accurate modeling of the hydraulic system and Simulink with powerful data analysis and processing functions for system to simulate to verify the experiment rig excellent control performance, which can effectively provide a scientific basis for the optimization of vehicle safety and comfort.

Comparative Study of Motion Control Card Based on NI PXIe and cRIO Platform for Three-Axis Turntable

2014 ◽  
Vol 527 ◽  
pp. 213-217
Author(s):  
Guan Da Liu ◽  
Bo Mo ◽  
Bo Tang ◽  
Yang Hua Li
Keyword(s):  
Motion Control ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Servo Control ◽  
Brushless Dc Motor ◽  
Frequency Bands ◽  
Brushless Dc ◽  
Advantages And Disadvantages ◽  
Motion Control Card ◽  
Drive Model

In this paper, the Brushless DC motor (BLDCM) and reducer are used to drive each axis of three-axis turntable. In real-time servo control systems, the position loop parameters are designated by the software CME2, and the frequency band of the middle frame with the specified amplitude can be measured. Then, the drive model is alternated to the velocity loop, and two frequency bands will be got by using the controller of NI PXI-7344 and NI 9514 separately. The reason why the three frequency bands are different can be given by analyzing the data of the three sweep tests. In addition, both advantages and disadvantages of two NI motion controllers are illustrated. Finally, the paper points out the new motion control solutions to improve the performance of the servo system by autonomous intelligent control algorithm.

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