CONTROL THEORY EMMANUEL EFFAH GTUC Outline • • • • COURSE DETAILS COURSE OUTLINE INTRODUCTION CONCEPT OF CONTROL COURSE DETAILS OBJECTIVES • By the end of this course successful students will be able to; • Appreciate the relevance of control systems engineering in their field of study. • Mathematically model simple dynamic systems. • Use tools and techniques to analyse various dynamic systems. • Design proportional controllers for feedback control systems. • RECOMMENDED TEXT • Modern Control Engineering, 4th edition, 2002 (ISBN: 0130609072), K. Ogata, Prentice Hall. • Control Systems Engineering, 4th edition, 2004 (ISBN: 0471445770), Norman S. Nise, Wiley. • Automatic Control Systems, 8th edition, 2003 (ISBN: 0471134767), B. C. Kuo, John Wiley & Sons. • Feedback systems: An introduction to scientists and engineers, Karl J Astrom and Richard Murray. • Modern Control Systems, 10th edition, 2005 (ISBN: 0-13-127765-0), R.C. Dorf & R.H. Bishop, Prentice Hall. COURSE OUTLINE • CONCEPT OF CONTROL • SYSTEM MODELLING • TRANSIENT RESPONSE ANALYSIS AND STEADY-STATE ERROR ANALYSIS • ROOT LOCUS METHOD • FREQUENCY RESPONSE ANALYSIS • COMPENSATION TECHNIQUES ❖ Introduction to MATLAB in control systems Week Topic 1 Introduction to control theory and MATLAB 2 and 3 System Modelling 4-7 Transient response analysis and steady state error analysis 8 Root locus method Frequency response analysis Properties of root locus, analysis of systems using root locus using MATLAB Concept of frequency response analysis, sketching bode plots, phase and gain margin of transfer functions, sketching Nyquist plot, phase and gain margin of transfer functions on Nyquist plot, analysis of frequency responses and design using MATLAB Compensation techniques Introduction to lead/lag compensators, Introduction to PID controllers, design of PID controllers for systems 9 -11 12 and 13 Content Concept of control, introduction to MATLAB and SIMULINK for control engineering, delivering mini project to students. Overview of Laplace transforms, differential equations, modelling of various dynamic systems i.e. electrical systems, mechanical systems, inverse Laplace transforms Transfer functions, first order responses, second order responses, steady state error for unity feedback systems, designing gain of a closed loop system to meet steady state error specifications Evaluation Continuous Assessment ASSESSMENT TOOL EXPECTED DUE DATE WEIGHT/30 Assignments, Attendance Assignment: one week after problems are assigned Attendance: randomly taken at lectures 5 Quizzes unannounced 3 Midsemester examinations *7 th week 8 Mini project After final exams (18 th December 2019) 14 Final Exam: final examination is allotted 70% of the total score expected in this course. Students should note that the final exam is largely dependent on activities during the continuous assessment; examination are based on the knowledge and application of concepts introduced during the semester INTRODUCTION CONTROLLER VARIABLES SYSTEM CONTROL SYSTEM - System Combination of components that work together to perform a certain task - Controller A system that effects control on another based on a specified control objective - Control system The overall system comprising the plant and the controller and the required interconnections of inputs and outputs that determine how these subsystems influence each other INTRODUCTION • Control systems are everywhere ; - In the physical world ( man-made and nature - In the nonphysical world Illustration: The Impact of Control Technology, T. Samad and A.M. Annaswamy (eds.), 2011 Control design process • • • • • Establish the goal Identify the variables to be controlled Write the specifications Establish the system configuration Obtain a model of the process, the actuator and the sensor • Describe a controller and select key parameters to be adjusted • Optimize the parameters and analyse the performance Concept – system configuration CONCEPT - EXAMPLE Manipulated variable Which variable can be manipulated? Answer: the setting of valve V1 Concept - example Controlled variable What are we trying to control? Level of liquid in the tank, measured by Level indicator L1 Disturbance variable What has an impact on the system but we cant manipulate? Flow-rate of liquid from its source measured by flowmeter F1