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COEG 304

COEG 304                  INSTRUMENTATION AND CONTROL                                           3 Credits

Objective: To become familiar with the principles, architecture and design of instrumentation systems used for measurement and control.

Syllabus:

Introduction: Definition of control systems, history and examples, concept of feedback and closed loop control, open-loop versus closed-loop systems, linear system, time-invariant system

Mathematical modeling: Physical balances, differential equations, mathematical modeling of mechanical systems and electrical systems, mathematical modeling of fluid systems

Laplace transform: Definitions, transfer functions, poles and zeros, mathematical block diagrams, block diagram reduction

Transient and Steady-State-Response Analyses: Standard test signals, transient response of first order systems, second order systems and higher order systems, concept of dominant poles, steady state error and type of systems

Stability Analysis: Definitions based on impulse response, Routh-Hurwitz stability criterion.

Introduction to Process Control: Control systems, process-control block diagram, control system evaluation, analog and digital processing, sensor time response, introduction of PID controllers, design of P controller

Analog Signal Conditioning: Principles of analog signal conditioning, passive circuits, operational amplifiers, OP-amp circuits in instrumentation, design guidelines

Digital Signal Conditioning: Review of digital fundamentals, AD and DA converters, data-acquisition systems, characteristics of digital data

Thermal Sensors: Definition of temperature, metal resistance versus temperature devices, thermistors, thermocouples, other thermal sensors, design considerations

Mechanical Sensors: Displacement, location, position and proximity sensors, strain sensors, motion sensors, pressure sensors, flow sensors, optical encoder

Final Control: Final control operation, signal conversions, power electronics, actuators (pneumatic, hydraulic and electrical drives), control elements, examples of control systems

Discrete-State Process Control: Definition of discrete-state process control, characteristics of the system, relay controllers and ladder diagrams, Programmable Logic Controllers (PLCs), examples of PLC control systems

References:

  1. Stefani, Raymond T. Design of Feedback Control Systems, 4th Ed. Oxford 2002
  2. Ogata, Modern Control Engineering, 2nd Ed. PHI 1990
  3. Johnson, Process control Instrumentation technology, 4th Ed PHI 1995
  4. J.B. Gupta, Electronic and Electrical Measurement and instrumentation, 12th Ed Kataria 2003
  5. Krishna Kant, Computer Based Industrial Control, 2nd Ed. PHI 1998
 

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