MECHATRONICS: Gaining Control and Applications “New” Technology Turning Heads — and Profits
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Metallurgical Engineering
ENSURING THE EXPERTISE TO GROW SOUTH AFRICA Discipline-specific Training Guideline for Candidate Engineers in Metallurgical Engineering R-05-MET-PE Revision No.: 2: 25 July 2019 ENGINEERING COUNCIL OF SOUTH AFRICA Tel: 011 6079500 | Fax: 011 6229295 Email: [email protected] | Website: www.ecsa.co.za ENSURING THE Document No.: Effective Date: Revision No.: 2 R-05-MET-PE 25/07/2019 Subject: Discipline-specific Training Guideline for Candidate Engineers in Metallurgical Engineering Compiler: Approving Officer: Next Review Date: Page 2 of 46 MB Mtshali EL Nxumalo 25/07/2023 TABLE OF CONTENTS DEFINITIONS ............................................................................................................................ 3 BACKGROUND ......................................................................................................................... 5 1. PURPOSE OF THIS DOCUMENT ......................................................................................... 5 2. AUDIENCE............................................................................................................................. 6 3. PERSONS NOT REGISTERED AS CANDIDATES OR NOT BEING TRAINED UNDER COMMITMENT AND UNDERTAKING (C&U) ..................................................... 7 4. ORGANISING FRAMEWORK FOR OCCUPATIONS ............................................................. 7 4.1 Extractive Metallurgical Engineering ..................................................................................... 8 4.2 Mineral Processing Engineering .......................................................................................... -
Control in Robotics
Control in Robotics Mark W. Spong and Masayuki Fujita Introduction The interplay between robotics and control theory has a rich history extending back over half a century. We begin this section of the report by briefly reviewing the history of this interplay, focusing on fundamentals—how control theory has enabled solutions to fundamental problems in robotics and how problems in robotics have motivated the development of new control theory. We focus primarily on the early years, as the importance of new results often takes considerable time to be fully appreciated and to have an impact on practical applications. Progress in robotics has been especially rapid in the last decade or two, and the future continues to look bright. Robotics was dominated early on by the machine tool industry. As such, the early philosophy in the design of robots was to design mechanisms to be as stiff as possible with each axis (joint) controlled independently as a single-input/single-output (SISO) linear system. Point-to-point control enabled simple tasks such as materials transfer and spot welding. Continuous-path tracking enabled more complex tasks such as arc welding and spray painting. Sensing of the external environment was limited or nonexistent. Consideration of more advanced tasks such as assembly required regulation of contact forces and moments. Higher speed operation and higher payload-to-weight ratios required an increased understanding of the complex, interconnected nonlinear dynamics of robots. This requirement motivated the development of new theoretical results in nonlinear, robust, and adaptive control, which in turn enabled more sophisticated applications. Today, robot control systems are highly advanced with integrated force and vision systems. -
B.Sc. Mechatronics Specialization: Photonic Engineering
Study plan for: B.Sc. Mechatronics Specialization: Photonic Engineering Faculty of Mechatronics Study plan for reference only; may be subject to change. Semester 1 Course Lecture Tutorial Labs Pojects ECTS (hours) (hours) (hours) (hours) Physical Education and Sports 30 Patents and Intelectual Property 30 2 Optics and Photonics Applications 30 15 3 Calculus I 30 45 7 Algebra and Geometry 15 30 4 Engineering Graphics 15 30 2 Materials 30 2 Computer Science I 30 30 6 Engineering Physics 30 30 4 Total ECTS 30 Semester 2 Course Lecture Tutorial Labs Pojects ECTS (hours) (hours) (hours) (hours) Physical Education and Sports 30 Economics 30 2 Elective Lecture 1/Virtual and 30 3 Augmented Reality Calculus II 30 30 5 Engineering Graphics ‐ CAD 30 2 Computer Science II 15 15 5 Mechanics I i II 45 45 6 Mechanics of Structures I 30 15 4 Electric Circuits I 30 15 3 Total ECTS 30 1 Study Plan for B.Sc. Mechatronics (Spec. Photonic Engineering) Semester 3 Course Lecture Tutorial Labs Pojects ECTS (hours) (hours) (hours) (hours) Physical Education and Sports 30 0 Foreign Language 60 4 Elective Lecture 2/Introduction to 30 3 MEMS Calculus III 15 30 6 Mechanics of Structures II 15 15 4 Manufacturing Technology I 30 4 Fine Machine Design I 15 30 3 Electric Circuits II 30 3 Basics of Automation and Control I 30 15 4 Total ECTS 31 Semester 4 Course Lecture Tutorial Labs Pojects ECTS (hours) (hours) (hours) (hours) Physical Education and Sports 30 Foreign Language 60 4 Elective Lecture 3/Photographic 30 3 techniques in image acqusition Elective Lecture 4 30 3 /Enterpreneurship Optomechatronics 30 30 5 Electronics I 15 15 2 Electronics II 15 1 Fine Machine Design II 15 15 3 Manufacturing Technology 30 2 Metrology 30 30 4 Total ECTS 27 Semester 5 Course Lecture Tutorial Labs Pojects ECTS (hours) (hours) (hours) (hours) Physical Education and Sports 30 0 Foreign Language 60 4 Marketing 30 2 Elective Lecture 5/ Electric 30 2 2 Study Plan for B.Sc. -
Technical Report 05-73 the Methodology Center, Pennsylvania State University
Engineering Control Approaches for the Design and Analysis of Adaptive, Time-Varying Interventions Daniel E. Rivera and Michael D. Pew Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe, Arizona 85287-6006 Linda M. Collins The Methodology Center and Department of Human Development and Family Studies Penn State University State College, PA Susan A. Murphy Institute for Social Research and Department of Statistics University of Michigan Ann Arbor, MI May 30, 2005 Technical Report 05-73 The Methodology Center, Pennsylvania State University 1 Abstract Control engineering is the field that examines how to transform dynamical system behavior from undesirable conditions to desirable ones. Cruise control in automobiles, the home thermostat, and the insulin pump are all examples of control engineering at work. In the last few decades, signifi- cant improvements in computing and information technology, increasing access to information, and novel methods for sensing and actuation have enabled the extensive application of control engi- neering concepts to physical systems. While engineering control principles are meaningful as well to problems in the behavioral sciences, the application of this topic to this field remains largely unexplored. This technical report examines how engineering control principles can play a role in the be- havioral sciences through the analysis and design of adaptive, time-varying interventions in the prevention field. The basic conceptual framework for this work draws from the paper by Collins et al. (2004). In the initial portion of the report, a general overview of control engineering principles is presented and illustrated with a simple physical example. From this description, a qualitative description of adaptive time-varying interventions as a form of classical feedback control is devel- oped, which is depicted in the form of a block diagram (i.e., a control-oriented signal and systems representation). -
The Science and Education of Mechatronics Engineering
Both photos: ©2000 Artville, LLC. Emphasizing Team Building in a Problem- and Project-Based Curriculum to Meet the Challenges of the Interdisciplinary Nature of this Field o far there is no common and widely accepted under- N Hewit in [3] states: A precise definition of mechatronics is standing of what mechatronics really is. Many different not possible, nor is it particularly desirable, because the notions similar to or including mechatronics have been field is new and expanding rapidly; too rigid a definition used in various contexts; micromechatronics, opto- would be constraining and limiting, and that is pre- mechatronics, supermechatronics, mecanoin- cisely what is not wanted at present. Sformatics, contromechanics and megatronics are Mechatronics as an interdisciplinary subject some of these, each coined to put forward a tends to attract contributions from all related specific aspect or application of mech- fields without really putting forward the atronics. Examples of attempts to describe opportunities and challenges arising spe- mechatronics include the following. cifically due to the interdisciplinary inter- N Mechatronics encompasses the actions. An example of this is that many knowledge and the technologies mechatronics conferences have been required for the flexible genera- unfocused and thereby have not at- tion of controlled motions [1]. tracted the most adequate contributions, N Mechatronics is the synergistic which definitely exist. This is a disadvan- combination of mechanical and tage in that it hampers the development of electrical engineering, computer sci- mechatronics as an engineering science. Sci- ence, and information technology, entific publications in mechatronics, to help in which includes control systems as well as nu- making the subject more focused, are still quite rare. -
Control Theory
Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data. -
MAE 4710: MECHATRONICS – Engineering Supergenius Edition
MAE 4710: MECHATRONICS – Engineering Supergenius Edition Mechatronics involves the integration of mechanical engineering with electronics and intelligent computer control in the design and manufacturing of industrial products and processes. It's synergy at its best. This course surveys basic electrical circuits, electromechanical actuators, analog signals, digital signals, various sensors, basic control algorithms, and microcontroller programming. This course includes weekly, hands-on, laboratory exercises as well as design projects involving both hardware and software. Note that MAE 4710 is a 4-credit, 4000-level course. You will do a lot of work. In this TLP edition of the course, we’ll do things a little differently than the “regular” section run by Gavin Garner, though we’ll rely on much of the excellent content he has developed over the years. Because we have fewer students, we can spend more time doing projects, as opposed to ‘just’ labs. This will be a little experimental. Please have patience. Instructor: Greg Lewin: [email protected] Lab Assistant: TBD Office Hours: TBD Lectures: MWF 11:00 – 11:50 in Rice 120. Laboratories: Labs will be held Wednesdays from 2:00 – 5:00 and 6:00 – 9:00. I don’t care which section you show up to, but you need to be consistent from week to week (with exceptions, should something unexpected arise). Grading: Grading will be a combination of homework, worksheets, post-lab quizzes and design challenges, and projects. Because I am rearranging the course a bit this year, I honestly don’t know exactly how many of each we’ll have, but expect: 8 – 10 labs (each with a pre-lab, worksheet, and quiz), 2-3 projects throughout the term, plus a final project. -
Robotic and Electronic Engineering Technology Mntc General Education
2020-2021 Technical Requirements .............57 Robotic and Electronic Engineering Technology MnTC General Education ..........15 Associate of Applied Science (AAS) Degree Total Credits ...............................72 Mechatronic Applications: Evaluate and determine that all Program Information • mechatronic equipment is in proper working condition, ensuring The Anoka Technical College Electronic Engineering Technology a safe, reliable manufacturing environment. (EET) program offers a 72-credit Robotic and Electronic Engineering • Safety Compliance: Participate in class in a professional manner, Technology Associate of Applied Science (AAS) degree that prepares by acting in compliance with documented safety procedures and students to work with mechatronics, robotics, automation and controls, appropriate industry standards. computer servicing/networking, and biomedical equipment. Course Prerequisites Students gain a thorough understanding of how computers and machines communicate as well as system level troubleshooting, plus Some courses may require appropriate test score or completion of a solid education in electronic engineering technology fundamentals. basic math, basic English and/or reading courses with a “C” or better. Students will also learn about: Graduation Requirements • Mechatronics All Anoka Technical College students seeking an Associate in Applied • Lasers and Optics Science (AAS), diploma, or certificate must meet the cumulative grade • Robotics point average (GPA) of 2.0 or higher. • Computer Troubleshooting A+ • Networking -
University Master´S Degree in Systems and Control Engineering
UNIVERSITY MASTER´S DEGREE IN SYSTEMS AND CONTROL ENGINEERING English Version University Master’s Degree in Systems and Control Engineering INFORMATION IDENTIFYING THE QUALIFICATION Name and status of awarding institution Universidad Complutense de Madrid y la Universidad Nacional de Educación a Distancia. Public universities. Name of qualification and title conferred in original language Máster Universitario en Ingeniería de Sistemas y de Control por la Universidad Complutense de Madrid y la Universidad Nacional de Educación a Distancia. Status National validity. Approved by Accord of the Council of Ministers on July 1st, 2011. Main field(s) of study for the qualification The study is included in the field of Engineering and Architecture. Language(s) of instruction/examination The degree is taught in Spanish. INFORMATION ON THE LEVEL OF THE QUALIFICATION Level of qualification Level 3 (Master) in the Spanish Framework of Higher Education (MECES) is equivalent to level 7 of European Qualification Framework (EQF). Official length of programme The official length of programme is 60 ECTS and 1 year full time. Access requirements Engineering or Bachelor’s Degree in Computer Sciences or scientific- technological degrees related to Systems, Automation, Electronics, Communications or Computer Engineering. Doctorate on Automatic or Computer Sciences 2 INFORMATION ON THE CONTENTS Mode of study Blended learning to full time. Programme requirements The programme of studies is composed of 42 selective ECTS, 6 external practices and 12 Master's Dissertation -
South Carolina State University, B.S., Mechatronics Engineering
CAAL 07/09/2020 Agenda Item 5p New Program Proposal Bachelor of Science in Mechatronics Engineering South Carolina State University Summary South Carolina State University requests approval to offer a program leading to the Bachelor of Science in Mechatronics Engineering, to be implemented in the Fall of 2020 through traditional course delivery. The following chart outlines the stages of approval for the proposed program. The Advisory Committee on Academic Programs (ACAP) voted to recommend approval of the proposal. The full program proposal is attached. Stages of Date Comments Consideration Program Proposal 2/10/20 Not Applicable Received Staff comments to 3/10/20 Staff requested revisions to the program proposal to address the institution questions about degree type, delivery sites, and the impact on existing programs. Revised Program 3/16/20 The revised proposal satisfactorily addressed the requested Proposal Received revisions. ACAP Consideration 6/9/20 The South Carolina State University (SCSU) representative presented the proposal. Citing a partnership with the State Technical College System, the representative noted the proposed program was developed in response to meeting the greater demand for engineering graduates in the state. Presently, no other comparable degree program exists in-state, though it is extant nationally. The program is interdisciplinary and can serve as a pathway for students who receive an associate’s degree in the field and can facilitate matriculation into related engineering graduate programs. The representative stated that the program is designed to meet on campus with the option of also meeting at other technical college campuses as the program develops. In addition, the proposed program is aligned with ABET accreditation standards, and the institution reaffirmed its commitment to the program given pandemic conditions. -
Lecture 9 – Modeling, Simulation, and Systems Engineering
Lecture 9 – Modeling, Simulation, and Systems Engineering • Development steps • Model-based control engineering • Modeling and simulation • Systems platform: hardware, systems software. EE392m - Spring 2005 Control Engineering 9-1 Gorinevsky Control Engineering Technology • Science – abstraction – concepts – simplified models • Engineering – building new things – constrained resources: time, money, • Technology – repeatable processes • Control platform technology • Control engineering technology EE392m - Spring 2005 Control Engineering 9-2 Gorinevsky Controls development cycle • Analysis and modeling – Control algorithm design using a simplified model – System trade study - defines overall system design • Simulation – Detailed model: physics, or empirical, or data driven – Design validation using detailed performance model • System development – Control application software – Real-time software platform – Hardware platform • Validation and verification – Performance against initial specs – Software verification – Certification/commissioning EE392m - Spring 2005 Control Engineering 9-3 Gorinevsky Algorithms/Analysis Much more than real-time control feedback computations • modeling • identification • tuning • optimization • feedforward • feedback • estimation and navigation • user interface • diagnostics and system self-test • system level logic, mode change EE392m - Spring 2005 Control Engineering 9-4 Gorinevsky Model-based Control Development Conceptual Control design model: Conceptual control sis algorithm: y Analysis x(t+1) = x(t) + -
Automation, Robotics and Mechatronics Aas Degree
AUTOMATION, ROBOTICS AND MECHATRONICS A.A.S. DEGREE www.clcillinois.edu/programs/arm A.A.S. PROGRAM OVERVIEW AUTOMATION, ROBOTICS TYPICAL JOBS AND MECHATRONICS • Mechatronics Technician Engineering, Math and Physical Sciences • Robotics Technician Division, Room T302, (847) 543-2044 Degree: Associate in Applied Science, • Electrical and Electronic Automation, Robotics and Mechatronics • Equipment Assembler The automation, robotics, and mechatronics Plan 24ZD • Electrical and Electronics field combines mechanics, electronics and Repairer computer technologies to create “smart” FIRST SEMESTER 17 (commercial or industrial products that improve lives in countless ways. MET 299 Special Topics: Math 1 equipment) Mechatronics technicians help design, install, MET 299 Special Topics: Communications 1 • Electro-mechanical Technician maintain and repair industrial equipment ARM 111 Fundamentals of High • Maintenance and Repair Worker and a wide variety of appliances used in Tech Manufacturing I and • Maintenance Worker, Machinery businesses and at home. These range from ARM 112 Fundamentals of High • Mechanical Engineering personal and industrial robots to artificial and Tech Manufacturing II Technician limbs, automatic teller machines (ATMs) and ARM 113 Fundamentals of High • Programmable Logic Controller hybrid cars—just to name a few. A holder Tech Manufacturing III 3 (PLC) Installer of an associate degree in Mechatronics can ARM 116 and Mechatronics Graphics I • Entry-level PLC Programmer manage, investigate, repair and troubleshoot ARM 117 and Mechatronics Graphics II • Technical Sales Representative mechatronic and process control systems along ARM 118 Mechatronics Graphics III 3 with optimizing systems for efficiency and cost ARM 151 Mechanical Systems I and effectiveness. A mechatronics technician can ARM 152 Mechanical Systems II and work in workshops, design labs, production ARM 153 Mechanical Systems III 3 GETTING STARTED facilities, and in field service locations.