{"id":1732,"date":"2024-07-25T18:37:16","date_gmt":"2024-07-25T15:37:16","guid":{"rendered":"https:\/\/www.iem.ihu.gr\/?post_type=course&p=1732"},"modified":"2025-05-28T20:31:08","modified_gmt":"2025-05-28T17:31:08","slug":"86-02","status":"publish","type":"course","link":"https:\/\/www.iem.ihu.gr\/en\/courses\/86-02\/","title":{"rendered":"Process Control"},"author":5,"template":"","meta":{"_acf_changed":false},"semester":[66],"course_type":[59],"class_list":["post-1732","course","type-course","status-publish","hentry","semester--1-2-8","course_type-optional"],"acf":{"code":"86.02","semester":66,"level":"1","teaching_activities":{"activity_1":{"description":"Theory","weekly_hrs":3,"ects":4},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":59,"language":"\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/exams-sm.the.ihu.gr\/enrol\/index.php?id=155","prerequisites":"","instructors":[1946],"coordinator":"","content":"1. Introduction to process control\r\n2. Mathematical modelling for process control\r\n3. State space models and linearization\r\n4. Feedback control loop (sensors, controllers, final control elements)\r\n5. PID control algorithm\r\n6. PID parameter tuning: Ziegler \u2013 Nichols, Cohen-Coon, model based methods\r\n7. Model based control\r\n8. Feedforward control\r\n9. Cascade control\r\n10. Control of MIMO processes\r\n11. Special control structures for multi variable processes.","goals":"The course develops a basic understanding of the fundamental concepts of process control theory from a mathematical and physical point of view.\r\nExtensive reference is made to the concepts of mathematical modelling, dynamic behaviour and control of physical and chemical basic units.\r\nUpon successful completion of the course the student will be able to:\r\nunderstand and develop mathematical models and control algorithms for basic chemical and physical processes understand the role of variables in simple systems of physical and chemical processes.\r\nunderstand the basic elements of the basic control loops in processes.\r\nunderstand the concepts of mathematical modelling\r\nunderstand state space models (nonlinear, linear), linearization and transfer functions.\r\nunderstand the concept of controller design based on the mathematical model of each process.\r\nunderstand different control schemes: feedback, feed forward, cascade, ratio control\r\nunderstand specific structures for the control of multivariable systems in processes.\r\nand will have the ability of:\r\nmathematical modelling and classification of system variables for controlling simple process systems linearization of non-linear mathematical models of simple processes simulation of simple process systems determining the parameters of conventional controllers composition of controllers supported by a mathematical model\r\nDesigning feedforward controllers, cascade controllers, and specific controller structures for simple processes\r\nMethodical writing, analysis and presentation of results.","skills":"Research, analysis and synthesis of data and information using corresponding technologies, decision making, adaptation to new situations, promoting free, creative and inductive thinking, independent work, teamwork.","teaching_methods":"Lectures, Exercises, Online guidance, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (Moodle).","students_evaluation":"Language: Greek\r\nThe final grade of the course is formed 100% by the grade of the theoretical part.\r\nThe grade of the theoretical part is based on a written final examination.\r\nThe written final examination of the theoretical part may include:\r\nSolving problems of application of the acquired knowledge, Short answer questions etc","bib_textbooks":"Marlin T.E., \u201cProcess Control\u201d, McGraw-Hill, second edition, 2000.\r\nChau P.C., \u201cProcess Control \u2013 A First Course with MATLAB\u201d, Cambridge University Press, 2002\r\nCorriou J.P., Process Control\u2013Theory and Applications, Springer, 2010,\r\nLuyben M. & Luyben W., Essentials of Process Control, Mc Graw-Hill, 1997","bib_journals":""},"_links":{"self":[{"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/users\/5"}],"version-history":[{"count":14,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1732\/revisions"}],"predecessor-version":[{"id":4231,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1732\/revisions\/4231"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/1946"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/59"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/66"}],"wp:attachment":[{"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1732"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1732"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.iem.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}