L. T. T. Vu, Parisa A. Bahri, G.R Cole · Murdoch Research Repository (Murdoch University) · 2011
The Instrumentation and Control Laboratory (IC-lab) was designed to provide separated modules of different types of heat exchangers, air- pressured vessels, water tanks, pumps, flow meters and control valves. These module s can be connected to provide various conventional pieces of process control equipment. Through the experiments designed for the IC-lab, students can obtain real hands-on experience. In the first two years of the IC course students learn to perform step-tests, develop linear and non-linear model, then design and implement P, PI and PID cont rollers in the real time systems. More sophisticated control schemes such as Cascade, Feedforward, Generic Model Control (GMC) or Fuzzy Logic Control can also be achieved in the lab. This paper demonstrated an example of generating a nonlinear system by connecting two pressured- air tanks and other modules. A step test is perform ed to determine an approximate model for the PI controller design. At the same time a mathematical model of the system is developed based on measurements and calibrations of the system. A GMC scheme is applied based on this model. Comparison of performances of the PI and GMC controllers to control the pressure in the vessel are finally presented and discussed.
Cited by 0Open access
Gordon Pask · Defense Technical Information Center (DTIC) · 1964
The field of teaching machines is reviewed with particular emphasis on adaptive teaching systems, or systems in which the teaching machine is an adaptive control mechanism. The aim of the review is to indicate the kind of machinery that exists, the kind of work that is being done, and the results that are achieved. The problem of designing an adaptive control mechanism for an adaptive teaching system is discussed. The argument is concentrated on a single case for which a certain design (or teaching strategy embodied in a design) can be justified. The discussion may be of interest to the control engineer because: (1) the process to be controlled, a learning process in man, has an unfamiliar logical calibre (to illustrate this I shall exhibit the minimal model for man that is needed to design such a control mechanism); (2) the system is relatively intractable and the design procedure is genuinely cybernetic; (3) it is shown that the man is dynamically stable only if his environment is so adjusted, by the adaptive machine, that his rate of learning can be always positive; (4) the teaching system is designed by specifying a stabilizing system and later arguing that, because dynamic stability implies the existence of a positive learning rate, any stabilizing system is also a teaching system; and (5) there are many other intractable systems, notably in the social sciences and in connection with industrial organizations, which might be controlled in a very similar fashion.
Cited by 2
Lisbeth Pérez, Addison Ríos-Bolívar, Richard Márquez · IFAC Proceedings Volumes · 2006
Cited by 0
Xiangshun Li, Xu Jiang · 2018
This paper discusses a case-based approach to teaching process control involving modeling, measuring, PID and cascade control methods. In the traditional process control teaching, there are some problems such as knowledge points are taught without any example or taught by different examples. which make student be passive to study, and it's difficult to setup the whole knowledge system. Case teaching is an efficient method to help students understand the principles of process control and get the ability to solve practical problem. CS TH model is presented for the case which involves several knowledge points of process control in this article.
Cited by 2Open access
Ann-Britt Östberg, Karl Johan Åström · Lund University Publications (Lund University) · 1985
Cited by 7
Coffrin, Jane S · DSpace@MIT (Massachusetts Institute of Technology) · 2017
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cited by 0Open access
Farrukh Saleem, K. S. Alimgeer, Zaoraiz Saleem et al. · 2013
Teaching an under graduate/graduate course with effective teaching skill is becoming necessary to cope up the competitive environment for institutions and students both at the same time. Statistical analysis up to 2 nd order characteristics can show certain facts to the instructor, which are hidden usually for understanding the culture and behaviour of students. The course of Control Systems is selected as an example to elaborate the importance of teaching quality assurance and effective teaching skills. The data collected and presented is based on real environment from different instructors teaching the same course over six years. The difference between two teaching methods is highlighted and concluded with the effective teaching and evaluation skill. The effective teaching and evaluation process is finally generalized for all the courses at any level.
Cited by 0
Karl Henrik Johansson, Alexander Horch, Olle Wijk et al. · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2003
A multivariable laboratory process is presented together with its use in a graduate control course. The process is called the quadruple-tank process and demonstrates a multivariable level control problem. The multivariable zero dynamics of the system can be made both minimum phase and nonminimum phase by simply changing a valve. This makes the quadruple-tank process suitable for illustrating many concepts in linear and nonlinear multivariable control. In the paper some of these are described together with the basic setup of the process. Two computer exercises and one laboratory exercise have been developed as part of a course in multivariable and nonlinear control. These are detailed and some experience from the course is presented.
Cited by 94Open access
Čirka, Ľuboš, Kalúz, Martin · Zenodo (CERN European Organization for Nuclear Research) · 2023
This paper describes the use of the laboratory device FlexyAir for purposes of control education. FlexyAir is extension to Flexy2. The device is a complex dynamical system, that contains one actuator, the computer fan. This fan then drives air into the tube, where a plastic floater is then lifted from the bottom position. An infrared proximity sensor then measures the position, which constitutes a measured and controlled process variable. It comes with two knobs, that are fully configurable. FlexyAir is designed to directly support practical learning in courses focused on automatic control and programming. As the Flexy2, it comes with a Matlab/Simulink interface using which students can easily implement and test their own control strategies.
Cited by 0Open access
Lant P., Newell B. · Queensland's institutional digital repository (The University of Queensland) · 1996
Cited by 0
ZELİHA KAMIŞ KOCABIÇAK, Elif ERZAN TOPÇU, İBRAHİM YÜKSEL · Bursa Uludag University - AVESIS · 2007
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Alexander W. Dowling, Molly Dougher, Madelynn J. Watson et al. · Systems and Control Transactions · 2025
Process control can be one of the most exciting and engaging chemical engineering undergraduate courses! This paper describes our experience transforming Chemical Process Control into Data Analytics, Optimization, and Control at the University of Notre Dame (second semester required course in the junior year). Our modern course is built around six hands-on experiments in which students practice data-centric modeling and analysis using the Arduino-based Temperature Control Lab (TCLab) hardware. We argue that state-space dynamic modeling and optimization are more critical for educating modern chemical engineers than topics such as frequency domain analysis and controller synthesis emphasized in many classical undergraduate control courses. All the course material is available online at https://ndcbe.github.io/controls.
Cited by 0
Tomás Sánchez López, Ricardo A. Ramírez-Mendoza, Federico Guedea-Elizalde et al. · IFAC Proceedings Volumes · 2008
Cited by 4
Antony Higginson, Kevin Brooks · IFAC-PapersOnLine · 2022
One of the challenges of teaching process control to chemical engineering students is that it can be challenging to replicate the experience of a plant control system in a laboratory environment. Especially in developing countries, the cost of industrial-grade sensors, process equipment and control system software is prohibitive. This paper describes a bioreactor system that combines existing SCADA and PLC systems with Arduino microcontrollers, inexpensive sensors, and cloud services to provide a system that provides opportunities to explore both basic control concepts such as feedback control, data collection and advanced control concepts such as cascade control. Additionally, data gathered both by the microcontroller and PLC is gathered and sent to the cloud platform Thingspeak, which is integrated into the learning management system (LMS) so that students can visualise and analyse data in real-time without the need for creating a custom graphical user interface.
Cited by 4Open access
Grzegorz Polaków, Witold Nocoń · Lecture notes in computer science · 2014
Cited by 0
Donald B. Arnold, David A. Robinson · Cold Spring Harbor Symposia on Quantitative Biology · 1990
The vestibulo-ocular reflex moves the eyes in the head whenever the head moves, so that the line of sight does not change in space and images remain relatively stationary on the retina. Visual acuity can thus remain high during movement. Primary vestibular afferents carry the signal of head velocity into the vestibular nuclei. The signal is coded in the modulation of each discharge rate around a steady background rate of about 100 spikes/sec. The motoneurons of the extraocular muscles, at the other end, drive the eye with discharge rates, also coded as modulations around a background rate (also about 100 spikes/sec), that are proportional to a combination of desired eye velocity and position: the eye-velocity component overcoming orbital viscosity, the eye-position component counteracting orbital elasticity.
Cited by 2
Miranda, Eduardo, Dingsøyr, Torgeir · 2024
Cited by 0Open access
Qiao Shan Ping, Wu Peng, Zhao Ling · 2016
Abstract. Teaching process for a course is very important. How to improve the effect is closely related to the teacher and his/her teaching approach. Specially, the computer aided measures are also necessary. This paper introduces a teaching process control system which was implemented using object oriented technology. The aim of this system is to help teachers to enhance their teaching effect in the classroom. On the base of the system analyses, a teaching process control system was developed in Java language. This system has time control, time configure, teaching tools and other functions. The good effect has been received after this system was used in the real teaching process by some users. However, some functions about this system even need to be enhanced much in the future.
Cited by 0
Yao Lian · 2000
This paper introduces the basic structure and main function of the teaching software of process control system.
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Shaowen Lu, Liangyong Wang, Tao Yang et al. · 2025
China has revealed her ambition to become a strong manufacturing power in the “Made in China 2025” strategy plant. This requires a large force of high-level process control engineers who are proficient in both control theory and engineering practices. However, there is a gap in the demand and what the universities are providing. In China, control engineering is an independent subject found in the programs of many universities at multiple levels. Currently, the graduate level education in the control engineering major is emphasized more on theory and less on engineering practice. This has resulted graduates who lack the essential abilities to be competent for engineering tasks. This paper introduces the teaching practice of the new course, “Design and Implementation of Industrial Process Computer Control System” in the National Key Laboratory of Synthetical Process Automation which is part of the teaching reform initiative of Northeastern University in responding to the above problem. We introduce the concepts of the design of the teaching contents and the relative teaching methods. The teaching contents of the course extends the traditional automatic control principle course, including object modeling, controller design, control effect analysis, with the complete life cycle of the control system, such as the design and development of the logical control of equipment, HMI, control system testing, and more. Also, a comprehensive experimental system is developed to facilitate the teaching. Based on the field bus technology, the physical experiment system is developed to facilitate students to carry out the experiment of the corresponding course contents. During teaching, each theoretical knowledge point is combined with experiment on the industrial process control system. The system features online experimental capabilities, supporting students in both online and offline practical learning. Judging from the actual teaching effects for the last three years, the new course has obviously improved students' enthusiasm for engineering practice and improved students' understanding and mastery of the concept of control system from a system perspective.
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