EC8391 CS Syllabus
Anna University Regulation 2017 ECE EC8391 CSE Syllabus for all 5 units are provided below. Download link for ECE 3rd SEM EC8391 CONTROL SYSTEMS ENGINEERING Engineering Syllabus is listed down for students to make perfect utilization and score maximum marks with our study materials.
Anna University Regulation 2017 Electronics and Communication Engineering (ECE) 3rd SEM EC8391 CONTROL SYSTEMS ENGINEERING Engineering Syllabus
EC8391 CONTROL SYSTEMS ENGINEERING
OBJECTIVES:
To introduce the components and their representation of control systems
To learn various methods for analyzing the time response, frequency response and
stability of the systems.
To learn the various approach for the state variable analysis.
UNIT I SYSTEMS COMPONENTS AND THEIR REPRESENTATION
Control System: Terminology and Basic Structure-Feed forward and Feedback control theoryElectrical and Mechanical Transfer Function Models-Block diagram Models-Signal flow graphs
models-DC and AC servo Systems-Synchronous -Multivariable control system
UNIT II TIME RESPONSE ANALYSIS
Transient response-steady state response-Measures of performance of the standard first order
and second order system-effect on an additional zero and an additional pole-steady error constant
and system- type number-PID control-Analytical design for PD, PI,PID control systems
UNIT III FREQUENCY RESPONSE AND SYSTEM ANALYSIS
Closed loop frequency response-Performance specification in frequency domain-Frequency
response of standard second order system- Bode Plot – Polar Plot- Nyquist plots-Design of
compensators using Bode plots-Cascade lead compensation-Cascade lag compensation-Cascade
lag-lead compensation
UNIT IV CONCEPTS OF STABILITY ANALYSIS
Concept of stability-Bounded – Input Bounded – Output stability-Routh stability criterion-Relative
stability-Root locus concept-Guidelines for sketching root locus-Nyquist stability criterion.
UNIT V CONTROL SYSTEM ANALYSIS USING STATE VARIABLE METHODS
State variable representation-Conversion of state variable models to transfer functions-Conversion
of transfer functions to state variable models-Solution of state equations-Concepts of
Controllability and Observability-Stability of linear systems-Equivalence between transfer function
and state variable representations-State variable analysis of digital control system-Digital control
design using state feedback.
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