system transfer function
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Author(s):  
Philipp Eirich ◽  
Tobias Wech ◽  
Julius F. Heidenreich ◽  
Manuel Stich ◽  
Nils Petri ◽  
...  

Author(s):  
Zeki Okan Ilhan ◽  
William Loveland ◽  
Justiz Baker

Abstract This work aims to demonstrate the use of a simple experimental setup for accurate position control, which will be used to supplement the senior level “Control Systems” class taught in McCoy School of Engineering at Midwestern State University. The experimental setup is an unstable, doubleintegrator system, which consists of a ping-pong ball rolling on a pivoted beam. The control task is to stabilize the ball at the center of the beam by systematically changing the angle of rotation of the beam through the servomotor. The experimental setup is built out of 3D-printed parts, and simple electronics are used for controls. A control-oriented dynamic model is first obtained based on the standard Lagrangian approach and the model is linearized to simplify the control design. Proportional Integral Derivative (PID) controller is then designed based on the system transfer function, and the performance of the PID controller is tested in closed-loop numerical simulations in MATLAB-SIMULINK environment. Finally, the proposed PID algorithm is implemented in the actual setup using the ARDUINO microcontroller platform. Performance of the PID controller is discussed based on the initial results and possible improvement areas are addressed.


2020 ◽  
Vol 7 (1) ◽  
pp. 79
Author(s):  
Simon Ka'ka ◽  
Festo Andre H

This study aims to examine more about the effect of vertical dynamic load of vehicles and changes in dimensional barriers on the road surface in its path. Experimentally this fluctuating load is replaced by a pneumatic force change based on the regulation of air pressure on the regulator. The deviations generated by the varying load work are measured by placing a proximity sensor along the spring movement. The amount of vertical load transformation reaches the road surface is measured by using Load cell. Characteristics of vertical dynamic vibration occurring due to several dimensional barriers, U (cm) obtained using mathematical modeling method with 2 DOF suspension system transfer function.  The results showed a condition on the body and wheels of vehicles experienced a brief overshot for 0.14 seconds with deviation of 0.178 m. From the graph shows that the rate of deviation that occurs is large enough that Y2d = 1.03 m / s caused by a sudden shock that occurred on the wheels of the vehicle. This condition does not last long that is only duration t = 0.22 s, because the spring reaction force and shock absorber can absorb 25% vibration against the sprung and un-sprung vertical load of the vehicle.


2020 ◽  
Vol 71 ◽  
pp. 125-131
Author(s):  
M. Stich ◽  
J.A.J. Richter ◽  
T. Wech ◽  
T.A. Bley ◽  
R. Ringler ◽  
...  

Instruments ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 22
Author(s):  
Yu-Chung Lin ◽  
Joseph V. Sinfield

The emergence of a wide variety of relatively low-cost compact spectrometers has led to an increase in the use of spectroscopic techniques by researchers in a broad array of fields beyond those that have traditionally employed these analytical methods. While the fundamental elements and functions of Raman systems are generally consistent, the specific components that compose a system may vary in number, design, and configuration, and researchers often modify off-the-shelf spectrometers for unique applications. Understanding the effect of instrument design and components on acquired information is thus crucial and provides the prospect to optimize the system to individual needs and to properly compare results obtained with different systems while also reducing the potential for unintended misinterpretation of data. This paper provides a practical treatment of the influences in a typical compact spectroscopy system that can impact the extent to which the output of the system is representative of the observed environment, a relationship that in measurement science is classically termed the system transfer function. For clarity, the transfer function is developed in terms of traditional Raman output parameters, namely intensity, wavelength, and time.


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