Feedback Control Scheduling for Crane Control System

2013 ◽  
Author(s):  
Oumair Naseer ◽  
Akeel Shah ◽  
Atif Ali Khan
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Crane Control

Real-time feedback control system for ADITYA-U horizontal plasma position stabilisation

2021 ◽  
Vol 165 ◽  
pp. 112218
Author(s):  
Rohit Kumar ◽  
Pramila Gautam ◽  
Shivam Gupta ◽  
R.L. Tanna ◽  
Praveenlal Edappala ◽  
...  
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Real Time ◽  
Feedback Control System ◽  
Plasma Position

Plasma Feedback Control System Design and the Results of JT-60U

1992 ◽  
Vol 21 (3P2A) ◽  
pp. 1624-1629 ◽  
Author(s):  
M. Matsukawa ◽  
H. Ninomiya ◽  
H. Horiike ◽  
N. Hosogane ◽  
R. Yoshino
Keyword(s):  
Control System ◽  
Feedback Control ◽  
System Design ◽  
Control System Design ◽  
Feedback Control System

Simplified feedback control system for scanning tunneling microscopy

2021 ◽  
Vol 92 (10) ◽  
pp. 103705
Author(s):  
Francisco Martín-Vega ◽  
Víctor Barrena ◽  
Raquel Sánchez-Barquilla ◽  
Marta Fernández-Lomana ◽  
José Benito Llorens ◽  
...  
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Scanning Tunneling Microscopy ◽  
Scanning Tunneling ◽  
Feedback Control System ◽  
Tunneling Microscopy

THE ROTATIONAL EFFECT OF MAGNETIC PARTICLES ON CELLULAR APOPTOSIS BASED ON FOUR ELECTROMAGNET FEEDBACK CONTROL SYSTEM

2021 ◽  
pp. 2150045
Author(s):  
Jia Ji Lee ◽  
Chang Hong Pua ◽  
Misni Misran ◽  
Poh Foong Lee
Keyword(s):  
Magnetic Field ◽  
Electromagnetic Field ◽  
Control System ◽  
Feedback Control ◽  
Cell Apoptosis ◽  
Magnetic Particles ◽  
Drug Carriers ◽  
Feedback Control System ◽  
Rotational Effect ◽  
Dynamic Magnetic Field

Objectives: Magnetic drug targeting offers the latest popular alternative option to deliver magnetic drug carriers into targeting region body parts through manipulation of an external magnetic field. However, the effectiveness of using an electromagnetic field to manipulate and directing magnetic particles is yet to be established. Methods: In this paper, a homemade cost-effective electromagnet system was built for the purpose of studying the control and directing the magnetic drug carriers. The electromagnet system was built with four electromagnetic sources and tested the capability in directing the particles’ movement in different geometry patterns. Besides that, the creation of the self-rotation of individual magnetic particle clusters was achieved by using fast switching between magnetic fields. This self-rotation allows the possibility of cell apoptosis study to carry out. The system was constructed with four electromagnets integrated with a feedback control system and built to manipulate a droplet of commercially available iron (II, III) oxide nanoparticles to steer the magnetic droplet along different arbitrary trajectories (square, circle, triangle, slanted line) in 2-dimensional. Results: A dynamic magnetic field of 25 Hz was induced for magnetic nanoparticles rotational effect to observe the cell apoptosis. A profound outcome shows that the declining cell viability of the cell lines by 40% and the morphology of shrinking cells after the exposure of the dynamic magnetic field. Conclusion: The outcome from the pilot study gives an idea on the laboratory setup serves as a fundamental model for studying the electromagnetic field strength in applying mechanical force to target and to rotate for apoptosis on cancer cell line study.

Effect of Input Shaping on Response of Inertia Plants

2011 ◽  
Vol 121-126 ◽  
pp. 2676-2680
Author(s):  
Ming Xiao Dong ◽  
Rui Chuan Li ◽  
Qin Zu Xu
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Control Systems ◽  
Setting Time ◽  
Input Shaping ◽  
Pd Controller ◽  
Residual Vibration ◽  
Simulation Results ◽  
Analytical Expressions ◽  
Input Shaping Control

A poorly designed control system can lead to excessive residual vibration and long setting time. This paper investigates the effect of input shaping on control efficiency. To perform this investigation, we design a PD controller combined with input shaping for an inertia plant. We then subject it to four standard types of inputs. The responses of the control systems are described by analytical expressions. The performances of PD control and PD combined with input-shaping control are thoroughly analyzed and compared. Simulation results show that PD feedback control enhanced with input shaping minimizes overshoot and setting time.

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