Syllabus

Complete Course Syllabus:

Introduction: Introduction to modern and basic control system.

Mathematical Model: State space representation/transfer function/zero-pole of control system design; state space representation; solution of state equation.

Block diagram approach: signal flow graph; block diagram theory; block diagram reduction method.

Classical Control System: Analysis methods such as: Nyquist stability criterion, root locus, routh's criteria; classical design using frequency domain methods, phase lead and lag controllers, PID controllers, relay auto tuning, controllability and observability, Linear control system design using state feedback, LQR design, pole placement, use of observers.

Modern Control System: introduction to robotics, Transducers, actuators and the basic concept of intelligent control system, application of eigen value, state variable analysis, canonical forms.

Controller Design: P, I, PI and PID types.

Intelligent Control System: Introduction to Artificial neural network; Definition: neuron, perceptron etc. Different types of algorithm: back-propagation, newton’s algorithm; introduction to Fuzzy logic, Crisp set, fuzzy set, fuzzy addition, multiplication, subtraction, division, alpha cut, fuzzy set reprenstation.

Introduction to PLC, PLC specification, functional description of PLC, Different programming languages for PLC.