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Integral Derivative (PID), a closed-loop controller, is one of the approaches used to control systems. PID calculates the difference between the desired output and the actual output, called the error, and a control signal is generated according to this

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1 Introduction In the control training, it is important to apply the theoretical knowledge and to compare the theoretical knowledge with the applications [ 1, 2 ]. The proportional-integral-derivative (PID) control element, which has an important

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International Review of Applied Sciences and Engineering
Authors:
Ammar Al-Jodah
,
Saad Jabbar Abbas
,
Alaq F. Hasan
,
Amjad J. Humaidi
,
Abdulkareem Sh. Mahdi Al-Obaidi
,
Arif A. AL-Qassar
, and
Raaed F. Hassan

-speed trajectory tracking controller based on Takagi–Sugeno Fuzzy system was proposed in [ 4 ]. Kinematics inversion was utilized in the feedback loop to simplify the control system design. The tracking performance was evaluated with results from a classical PID

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such a system in a wide field of applications such as trajectory tracking control and obstacle avoidance control [ 2 , 3 ]. In the mission of trajectory tracking, certain applications are based on conventional techniques such PD and PID [ 4–7 ], and

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Abstract  

Some DSC calorimeters such as the model Setaram DSC 111 allow the user to set the parameters of temperature programming. Default values furnished by the constructor are often used, but it is very interesting to study the thermal behaviour of the regulation of the calorimeter under different conditions and kinds of set point temperatures. For this research we have developed in C a set of softwares in order to show the behaviour of the proportional integral derivative (PID) controller of the DSC. It can help the user to choose correct values for P, I and D parameters according to the kind of experiment conducted. The software allows studies for extra parameters such as the sampling rate of the computerized PID controller or the determination of filtering of the correction.

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Abstract  

Some DSC calorimeters, such as the model DSC 111, built by the society Setaram, allow the user to set the temperature programming parameters. Usually default values furnished by the constructor are often used, but it is very interesting to study the thermal behaviour of the regulation of the calorimeter under different conditions and with different kinds of set point temperatures. For this research, we have developed in C language a set of software in order to demonstrate the behaviour of the (proportional integral derivative) PID controller of the DSC. It can help the user to choose correct values for P, I and D parameters according to the kind of experiment conducted. The software allows studies of extra parameters, such as the sampling rate of the computerized PID controller or the determination of filtering of the correction.

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Periodica Mathematica Hungarica
Authors:
P. Fuchs
,
C. J. Maxson
,
A. P. J. Van Der Walt
, and
K. Kaarli

We answer an open problem in radical theory by showing that there exists a zero-symmetric simple near-ringN with identity such thatJ 2(N)=N.

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antibody deficiency disorders associated with a narrower range of cancers than other forms of immunodeficiency? Blood 2010; 116: 1228–1234. 7 Notarangelo LD. PIDs and cancer: an

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) controller [ 7 ], Fuzzy logic controller (FLC) [ 8–10 ], and Fractional Order PID (FOPID) controller [ 11 ]. The fuzzy controllers were integrated with FOPID in [ 12–14 ] to produce fuzzy like FOPID controllers. The fine tuning of controller settings is

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. Conventional PID control is part of the control engineering curriculum for bachelor-level courses. However, the more robust but mathematically far more challenging sliding mode control is usually introduced later in graduate studies. Permanent-magnet brushed DC

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