ESE – END SEMESTER EXAMINATION, PA – PROGRESS ASSESSMENT, ALA – ACTIVE LEARNING ASSIGNMENTS, OEP -OPEN ENDED PROBLEM
Knowledge of Linear differential equations, Differential equations and its solution, and Laplace transform.
course explores the fundamentals of systems and control. The course has two primary focuses:
- Understanding and predicting system behavior, and
- Design and analysis of closed loop control systems.
- Apply systems theory to complex real world problems in order to obtain models that are expressed using differential equations, transfer functions, and state space equations
- Predict system behavior based on the mathematical model of that system where the model may be expressed in time or frequency domain
- Analyze the behavior of closed loop systems using tools such as root locus, Routh Hurwitz, Bode, Nyquist, and Matlab
- Design controllers using classical PID methods, root locus methods, and frequency domain methods.
- Devise a safe and effective method of investigating a system identification problem in the lab
- Write a report that effectively communicates the results of an analysis or design.
Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU
Introduction to Control Systems:
Introduction, Brief History of Automatic Control, Examples of Control Systems, Engineering Design, Mechatronic Systems, The Future Evolution of Control Systems.
Mathematical Models of Systems:
Differential Equations of Physical Systems, Linear Approximations of Physical Systems, The Laplace Transform, The Transfer Function of Linear Systems, Block Diagram Models, Signal-Flow Graph Models.
State Variable Models:
The State Variables of a Dynamic System, The State Differential Equation, Signal-Flow Graph and Block Diagram Models, Alternative Signal-Flow Graph and Block Diagram Models, The Transfer Function from the State Equation , The Time Response and the State Transition Matrix.
Feedback Control System Characteristics:
Error Signal Analysis, Sensitivity of Control Systems to Parameter Variations ,Disturbance Signals in a Feedback Control System, Control of the Transient Response, Steady-State Error, The Cost of Feedback.
The Performance of Feedback Control Systems:
Test Input Signals, Performance of Second-Order Systems, Effects of a Third Pole and a Zero on the Second-Order System Response, The s-Plane Root Location and the Transient Response, The Steady-State Error of Feedback Control Systems, Performance Indices, The Simplification of Linear Systems.
The Stability of Linear Feedback Systems:
The Concept of Stability, The Routh-Hurwitz Stability Criterion, The Relative Stability of Feedback Control Systems, The Stability of State Variable Systems.
The Root Locus Method:
The Root Locus Concept. The Root Locus Procedure, Parameter Design by the Root Locus Method, Sensitivity and the Root Locus, Three-Term (PID) Controllers.
Frequency Response Methods:
Frequency Response Plots, Frequency Response Measurements, Performance Specifications in the Frequency Domain, Log Magnitude and Phase Diagrams.
Stability in the Frequency Domain:
Mapping Contours in the s-Plane, The Nyquist Criterion, Relative Stability and the Nyquist Criterion, Time-Domain Performance Criteria in the Frequency Domain, System Bandwidth, The Stability of Control Systems with Time Delays.
The Design of Feedback Control Systems:
Approaches to System Design, Cascade Compensation Networks, Phase-Lead Design Using the Bode Diagram, Phase-Lead Design Using the Root Locus, System Design Using Integration Networks, Phase-Lag Design Using the Root Locus, Phase-Lag Design Using the Bode Diagram, Design on the Bode Diagram Using Analytical Methods.
Simulation of DC motor working
Simulation of synchros
Generating standard test signals i.e. step, ramp, unit impulse on a simulator
Analysis of time response of second order system
Effect of P, PD, PI, PID Controller on a second order systems.
Plotting root locus of a given transfer function using a simulator
Temperature control using PID
Plotting phase magnitude plot of a given transfer function with a simulator.
Obtaining frequency response of a common emitter amplifier and plotting on a Bode plot.
Simulation of a given transfer function using OPAMPs
Stability Analysis ( Root locus, Bode, Nyquist) of Linear Time Invariant System.
Study of a PLL as a closed loop control system on a simulator.
- Op Amp Differentiating Circuit, Pulse Generating Op Amp, OP Amp Control System, PLL
- Television Beam Circuit,
- Space Shuttle Rocket, Satellite Orientation Control, Roll Angle Control,
- Mars Rover Vehicle, Mars Guided Vehicle Control, Mars Rover,
- Disk Drive Read Write System, Rotating Disk Speed Control, Disk Drive Read .
- Wind Power,
- Embedded Computers,
Lab Work: MATLAB/SCILAB based assignments and simulations covering design, analysis and modelling of control systems relevant to curriculum.
List of Open Source Software/learning website:
Modern Control System
– Richarc C. Drof and Robert H. Bishop
– Person Int
Modern Control Engineering
– Katsuhiko Ogata
– Prentice Hall of India
Control Systems Engineering
– Nagrath and Gopal
– New Age Publication
Feedback and Control Systems
– Joseph J Distefano
Automatic Control Systems
– Benjamin C.Kuo
– John Wiley & Sons