Continuous System Control

2012 ◽  
pp. 97-111
Author(s):  
David W. Russell
Keyword(s):  
Continuous System ◽  
System Control

A Comparison of Shape/Object Displays, Quasi Shape Displays, and Conventional Univariate Indicators: Integration Benefits or the “Nearer to Thee” Effect?

1987 ◽  
Vol 31 (5) ◽  
pp. 543-547 ◽  
Author(s):  
Dennis B. Beringer ◽  
Steven E. Chrísman
Keyword(s):  
Flight Control ◽  
Continuous System ◽  
System Control ◽  
Control Parameters ◽  
Secondary System ◽  
Detection Rates ◽  
Information Display ◽  
Physical Proximity ◽  
Control Information ◽  
Rate Information

The performance of a complex task, such as piloting an aircraft, requires an operator to effectively process and integrate information from numerous sources. Recent efforts (Beringer, 1985; 1986) have examined the combining of integrated displays to provide both continuous-system-control information and secondary system status/rate information. The present effort reported herein is an attempt to determine the origin of benefits that accrue from shape/object displays; specifically whether they stem from cognitively based integration of information or merely physical proximity of the information. This study examined several formats of information display using conventional (univariate needle indicators) and nonconventional (polar histograms and polar polygons) formats for presenting multiple univariate indices. Some flight control parameters and out-of-tolerance detection rates were affected by the format of the peripheral display while these performance measures plus processing rate of a digit-cancelling side task were affected by flight difficulty (two axes versus three axes; effect in the expected direction). Performance with the polar histogram display was superior in all cases followed closely by performance with the polar polygons, the multiple nonpolar univariate indicators (needles) being least effective for the differentiation task. This suggests that the shape/object displays do allow integration of information beyond that found with simple physical proximity of univariate indicators. A continuation of this research is addressing the problem of system diagnostics using these formats.

IMPLEMENTATION OF LEBESGUE SAMPLING METHOD AND DIGITAL SENSORS FOR CONTROLLING THE LEVEL VARIABLE IN A CONTINUOUS SYSTEM

2021 ◽  
Vol 8 (1) ◽  
pp. [14 P.]-[14 P.]
Author(s):  
MAURICIO PÉREZ ARCILA ◽  
MARTIN ALONSO TAMAYO VELEZ
Keyword(s):  
Continuous System ◽  
System Control ◽  
Continuous Control ◽  
Level System ◽  
Level Control ◽  
Digital Output ◽  
The Real ◽  
Binary Sensor ◽  
System Output ◽  
Level Process

This study aims to show that the continuous control from a level system can be efficiently measured and controlled using capacitive digital binary sensors, which in this case, replace the measurement signal from an analog differential pressure transmitter in a level control system. The binary sensors low cost and the digital output they process allow the reproduction of a correct signal and the estimation of a variable for controlling the water level inside the process tank through a proportional pneumatic level control valve, which receives the control signal from the Lebesgue sampling estimation algorithm applied herein for processing digital measurements. In this particular case, the Lebesgue algorithm is applied to reproduce the estimation of values obtained from the continuous signal in the real level process for the measurement and control. Also, are compared both, simulated and real outputs obtained using the Lebesgue algorithm and digital sensors, which were applied to a state observer controller that relates digital signals for controlling the real level system output. The application of the Lebesgue algorithm in the real level process concludes that the analog level signal can be efficiently reproduced using this method. In addition, the controller enables the system to smoothly conduct digital output processing using digital sensors to control the system output correctly, validating that not only analog sensors should be applied for controlling the output of proportional actuators, because it is shown that digital binary signals can be used for controlling and emulating continuous signals, which were processed and applied to the pneumatic valve. Keywords: Lebesgue sampling, estimation, binary sensor, observer controller, finite state machine, continuous system, control, LTI systems, identification, state variable, estimated output, proportional actuator

Continuous System Control

2021 ◽  
pp. 101-115
Author(s):  
David W. Russell
Keyword(s):  
Continuous System ◽  
System Control

DESIGN, SIMULATION AND IMPLEMENTATION MONITORING SYSTEM FOR SYSTEM CONTROL C4 FEEDING PUMP FOR FEED VAPORIZATION IN THE BUTADIENE PLANT

2020 ◽  
Vol 1 (1) ◽  
pp. 31-35
Author(s):  
Fahmi Yunistyawan ◽  
Yunistyawan J Berchmans ◽  
Gembong Baskoro
Keyword(s):  
Motor Control ◽  
Control System ◽  
Field Operator ◽  
System Control ◽  
Variable Speed ◽  
Variable Speed Drive ◽  
Software And Hardware ◽  
Discharge Pressure ◽  
Selection Of

This study implements the auto start control system on an electric motor 3 phase C4Feeding pump when the discharge pressure is low-low (4.3 kg /cm²). The C4 feeding pumpmotor was initially manually operated from the local control station, this was very ineffectiveand inefficient because it still relied on the field operator to operate the pump motor and whenthe plant was in normal operating it is very risk if the field operator late to operate motor then itwill impact to quality of the product, and if the delay time to operate motor is too long then planthave to shut down, therefore improvement is needed in the C4 feeding pump motor controlsystem. In this paper, various types of 3-phase motor control are explained which allow it to beapplied to the C4 feeding pump motor that are on-off, inverter, and variable speed drive andefficient selection of the three systems control of the motor. Software and hardware used in thisthesis work are DCS CENTUM VP Yokogawa.

Development of Student Experiment Method for Understanding of System Control

2018 ◽  
Vol 138 (4) ◽  
pp. 329-335
Author(s):  
Masayoshi Nakamoto ◽  
Miki Matsunaga ◽  
Toru Yamamoto
Keyword(s):  
System Control ◽  
Experiment Method
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