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KTU B.Tech S6 Syllabus Instrumentation & Control Engineering

KTU B.Tech S6 Syllabus  Instrumentation & Control Engineering

 

clickhereIC302 Control Engineering II
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clickhereIC304 Discrete Time Signal Processing
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clickhereIC306 Industrial Instrumentation II
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clickhereIC308 Process Control Instrumentation
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clickhereHS300 Principles of Management
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clickhereIC332 System Simulation Lab
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clickhereIC334 Industrial Instrumentation Lab
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clickhereIC352 Comprehensive Exam
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clickhereIC362 Industrial Robotics[Elective] 
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clickhereBM372 Embedded System Design[Elective]
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clickhere IC364 Total Quality Management
[Elective]
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clickhereIC366 MEMS and Nanotechnology[Elective]
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clickhereIC368 Computational Intelligence in Control Engineering[Elective] 
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KTU B.Tech S6 Syllabus Instrumentation & Control Engineering

IC 302 CONTROL ENGINEERING- II

MODULE I

Discrete Time Systems – Sampled data control systems – Introduction, Need for sampling, types of sampling.
Modeling of sampling process – Laplace and Z transform model. Spectrum analysis of sampling process and aliasing – sampling theorem. Signal reconstruction -Zero order – Frequency response of ZOH, First order hold and Transfer function of FOH
Review of z transforms.Difference equation model – Impulse response model -Z (Pulse) transfer function – Inverse Z Transoms and Response of linear discrete systems.
The Z and S domain relationships -Stability analysis – Jury’s test -Bilinear transformation.

MODULE II

Concept of state, state variable, state vector and state space. State variable representation of continuous time systems using Physical variables. Transfer function from the state variable model- Transformation of state variables and invariance property.
State variable model from transfer function – Bush or companion form – controllable canonical form–observable canonical form – Jordan canonical form. Diagonalization – state diagram
State variable representation of Discrete time systems.

FIRST INTERNAL EXAMINATION

MODULE III

STATE VARIABLE ANALYSIS
Solution of linear time invariant state equation – state transition matrix – properties – computation of state transition matrix from definition, by Laplace Transform Method and by Cayley Hamilton theorem.
Response of homogeneous and non homogeneous systems.
Controllability and observability. Gilbert’s test and Kalman’s tests.
Pole placement by state feedback. State observers.

MODULE IV

Characteristics of non-linear systems – Van der pole equation and Duffing equation – limit cycles and jump resonance. Common physical nonlinearities.

Phase plane analysis – Construction of single phase trajectory using Isoc line and Delta method –
Linearization of non linear systems – Singular points – Classification of singular points

 

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