Research and Develop of Tube Catching Manipulator Control System Based on DMC

2014 ◽  
Vol 623 ◽  
pp. 182-186
Author(s):  
Qi Zhu ◽  
Yan Wu ◽  
Yu An He

This paper introduces the tube catching manipulator control system based on DMC, elaborating hardware and software of the whole control system, applying the PID algorithm and closed-loop feedback, putting forward a control system combined increment PID controller and double closed-loop compensation. It makes the manipulator position more accurately and run more stably.

2020 ◽  
pp. 107754632095261
Author(s):  
Kashfull Orra ◽  
Sounak K Choudhury

The study presents model-based mechanism of nonlinear cutting tool vibration in turning process and the strategy of improving cutting process stability by suppressing machine tool vibration. The approach used is based on the closed-loop feedback control system with the help of electro–magneto–rheological damper. A machine tool vibration signal generated by an accelerometer is fed back to the coil of a damper after suitable amplification. The damper, attached under the tool holder, generates counter forces to suppress the vibration after being excited by the signal in terms of current. The study also discusses the use of transfer function approach for the development of a mathematical model and adaptively controlling the process dynamics of the turning process. The purpose of developing such mechanism is to stabilize the machining process with respect to the dynamic uncut chip thickness responsible for the type-II regenerative effect. The state-space model used in this study successfully checked the adequacy of the model through controllability and observability matrices. The eigenvalue and eigenvector have confirmed the stability of the system more accurately. The characteristic of the stability lobe chart is discussed for the present model-based mechanism.


2009 ◽  
Vol 16-19 ◽  
pp. 249-253
Author(s):  
Jian Yong Li ◽  
Xiao Bo Su ◽  
Lai Jiang ◽  
Rong Li Li ◽  
Xing Hua Gao ◽  
...  

The fluid-driven in-pipe robot is developed. Speed control system was model analyzed and the relationship between the load that affect the speed stability and through-flow area was derived, and the speed control system including double closed-loop feedback part was built.


An autonomous robot can navigate in a given region and reach to a specified location. The navigation system for these robots has to be reliable, versatile and rugged. In this paper, design and development aspects of such navigation system are discussed. A two level architecture is proposed for navigation of the autonomous robot. The low level controller (LLC) generates odometry data and implements closed loop feedback based PID algorithm. The high level controller (HLC) is used to generate velocity commands based on the path planned and inputs sensed from environment. The two controllers continuously exchange data with each other to reach the final destination. This navigation system platform can be used to develop autonomous mobile robots


2013 ◽  
Vol 274 ◽  
pp. 575-578
Author(s):  
Tian Li She ◽  
Qiao Yu Yang

An ultralow frequency vibration table can easily receive external interferences when it works. These interferences result to distortion of the output and reduction of calibration precision. A new method was adopted to reduce the distortion of an ultralow frequency vibration. At first, we modeled a vibration table by analyzing its structure, so that we got its transfer function. Then a fuzzy self-tuning PID controller was introduced and it was based on closed loop feedback theory. We verified the controller by MATLAB and experiments on an ultralow frequency vibration table. Simulation and experiments show that the fuzzy self-tuning controller can effectively reduce the distortion of a vibration table.


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