PC‐based control and simulation of an electro‐hydraulic system

Topçu, Elif Erzan

doi:10.1002/cae.21831

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…However, this choice is not feasible for many colleges in terms of cost and large area requirements . At this point, the use of small‐scale plants (such as can be considered as simple ad‐hoc solutions. For example, the use of a small‐scale wind turbine for control theory education has been presented in .…”

Section: Introductionmentioning

confidence: 99%

“…There are some studies which develop experiments based on control and monitoring of an experimental biomass combustor via LabVIEW on a small‐scale experimental plant . Similarly, some PC‐based electro‐hydraulic system control experiments has also been proposed in . This paper presents a good example of training students/researchers with PC‐based control system design tools and fluid power systems.…”

Section: Introductionmentioning

confidence: 99%

“…The mathematical model of the electro‐hydraulic system is derived from first principles and the model is implemented in Matlab/Simulink environment. The controller designed on the Matlab/Simulink environment has been applied on a physical test bench by which students’ experience with the physical hardware has also been ensured . However, and present graduate level experiments involving deeper theoretical insight in control theory which goes beyond the scope of introductory level feedback control theory courses for undergraduate education that we focus on this paper.…”

Section: Introductionmentioning

confidence: 99%

“…However, and present graduate level experiments involving deeper theoretical insight in control theory which goes beyond the scope of introductory level feedback control theory courses for undergraduate education that we focus on this paper. On the other hand, despite the fact that presents experiments for undergraduate students (in addition to graduate students), it is still challenging (in terms of cost) to reproduce this kind of small scale test benches when the goal is to provide a test setup for each student (or pairs).…”

Section: Introductionmentioning

confidence: 99%

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A low‐cost feedback control systems laboratory setup via Arduino–Simulink interface

Uyanik

Catalbas

2018

Comp Applic In Engineering

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Control theory education, when supported by practice, becomes more comprehendible for students and useful for their professional career. This paper presents low‐cost experiments for laboratory sessions of a feedback control systems course, which introduces them modeling feedback control systems, proportional‐integral‐derivative (PID) controller design, root locus and Bode plots. The experiments are organized around the Arduino‐based identification and control of a DC motor via Matlab/Simulink. The objective of this laboratory session is to support teaching feedback control systems via experimental investigations on a low‐cost laboratory kit. The built in‐house setups support Arduino–Simulink interface, so that students can download their control diagrams in Simulink to the Arduino board directly. This interface allows students to utilize high level control design tools, such as Matlab/Simulink while working on a low‐cost hardware laboratory setup. Students’ performance in the written exams before and after the laboratory setup were reported to evaluate the instructional effectiveness. Besides, student feedback for four semesters are also presented to evaluate the effectiveness of the laboratory experiments.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A low‐cost feedback control systems laboratory setup via Arduino–Simulink interface

Uyanik

Catalbas

2018

Comp Applic In Engineering

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PI‐based implementation for modeling and simulation of the continuous‐time LTI system and its Matlab‐Simulink‐based application

Yang

2018

Comp Applic In Engineering

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The continuous‐time “linear time‐invariant” (LTI) system supplies a wide variety of process solutions in science and engineering. It is one of the most fundamental concepts in scientific and engineering education. This article addresses the so‐called PI‐based implementation for modeling and simulation of the continuous‐time LTI system. The PI‐based implementation refers to using “proportional and integral” (PI) elements as well as other basic elements to build and simulate one circuit for the LTI system. In the classical teaching, its simulation implementation usually employs the signal‐flow‐graph approach which is somewhat complicated due to its complex mathematical derivations or other methods in the S‐transform domain. From the perspective of time‐domain analysis, this article introduces one principle of superposition in the time domain for equivalently describing the LTI system. Then by applying the principle, this article presents a straightforward implementation method in the time domain for the PI‐based modeling and simulation of the LTI system. Moreover, compared to its physical implementation, the computer‐based simulation (CBS) provides an extended flexible and graphical approach. Finally, the PI‐based straightforward implementation method in the time domain for modeling and simulation of the LTI system is applied in the Matlab‐Simulink environment. Simulation results and extended applications show workability and potentiality of the presented PI‐based implement method for teaching and study on analysis of the LTI system. The proposed methodology is integrated into a basic course of “signals and systems” for undergraduate students at Hunan University of Science and Technology, China. It may be useful for electronic and electrical engineering studies.

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