MSc Control Assignment 2010

MSc Control Assignment 2010 - Faculty of Computing,...

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Faculty of Computing, Engineering and Technology Module Name: Control Systems Design Module Number : CE00446-M Title of Assignment : Analysis and design of a control system Module Learning Outcomes for This Assignment 1) DEMONSTRATE KNOWLEDGE AND UNDERSTANDING OF THEORETICAL TOOLS REQUIRED FOR CONTROL SYSTEM DESIGN. Knowledge & Understanding 2) ANALYSE AND DESIGN CONTROL SYSTEMS USING FREQUENCY DOMAIN DESIGN TECHNIQUES. Analysis 3) DEMONSTRATE KNOWLEDGE OF STATE-SPACE DESIGN TECHNIQUES AND APPLY THE TECHNIQUE FOR SOLVING CONTROL PROBLEMS. Enquiry 4) DEMONSTRATE THE USE OF ADVANCED INDUSTRIAL CONTROL TECHNIQUES SUCH AS ADAPTIVE CONTROL, VARIABLE STRUCTURE CONTROL / SLIDING MODE CONTROL, NONLINEAR CONTROL, ITERATIVE LEARNING CONTROL AND NETWORKED CONTROL TECHNIQUES Analysis Hand in deadline : 21 st May 2010 Assignment description Written Report 50% This will be marked as a formal report, please follow the guidelines. How your module is marked: 50% Assignment 50% Exam The total length of the assignment is expected to be about 3000 words. Please do not hand in plastic wallets or folders, pages stapled in the left hand top corner only are acceptable. Sam Wane
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Assignment – MSc Control Systems Design Part A: Motor feedback system (60 marks) The feedback control system shown in Figure 1 is proposed as a position control system. A key component of this system is an armature–controlled DC motor. The input potentiometer produces a voltage i E that is proportional to the desired shaft position: i p i K E . Similarly the output potentiometer produces a voltage o E that is proportional to the actual shaft position: o p o K E . Note it is assumed that both potentiometers have the same proportionality constant. The error signal o i E E drives an amplifier, which in turn produces an armature voltage that drives the motor. Here a D is the transfer function of the amplifier. Figure 1: A position control system Model and simulate the above system using MATLAB and or SIMULINK. 1. Modelling 2. Testing and verification of the model 3. Demonstration of uncontrolled/low-controlled performance of the model 4. Design of controller to improve performance 5. Implementation of the controller 6. Results of the controlled system 7. Assuming the state variables of the plant are not accessible, design of an observer to
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This note was uploaded on 05/10/2010 for the course FCET CE00446-M taught by Professor Samwane during the Fall '10 term at Staffordshire.

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MSc Control Assignment 2010 - Faculty of Computing,...

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