JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• 1. To acquire knowledge on control aspects of an electrical system.
• 2. To become familiar with the use of simulation tools for the purpose of modeling, analysis and design of systems

Course Outcomes

Student will be able to

• 1. Represent various discrete time systems
• 2. Analyze the given system by Transfer function and state space approach using suitable software.
• 3. Design various controllers and compensators to improve system performance and test them in the laboratory as well as using suitable software.
• 4. To model a given system and its stability Analysis

List of Experiments:

• 1. Development of schematic Model of a dynamical system (Motor/Generator/ Power System etc)
• 2. Obtain the dynamic response of a continuous system and comment on the effect of parameter variations.
• 3. Time-Domain Analysis, Error–Analysis, Stability Analysis in Continuous and Discrete domains.
• 4. Stability Analysis (Bode, Root Locus, Nyquist) Of Linear Time Invariant System in discrete domain
• 5. Evaluation Of The Effect Of Additional Poles And Zeroes On Time Response Of Second Order System and its stability
• 6. Design of Digital controllers (P, PI, PID Controllers)
• 7. Design of Digital Compensators.
• 8. Design of State Feedback Controllers and Observers
• 9. Conversion of State Space Model into Classical Transfer Function and Vice Versa.
• 10. Simulation Of A Closed Loop System(Plant And Compensator) for discrete systems
• 11. Obtain the phase portraits for non linear system represented by ẋ = f(x) and comment on the aspects of stability for various initial conditions on phase plane.
• 12. Obtain the describing function for a given nonlinearity over the different sets of range amplitudes for a fixed frequency.
• 13. Obtain the limit cycle time response and phase plot for stable and unstable vanderpol’s equation
• 14. Estimation of parameters Using Recursive Least Squares Estimator.
• 15. For a given discrete plant representation in state space. Design a Kalman filter and time varying (extended) kalman filter to estimate the output y based on the noisy measurements:
• 16. Based on the distribution of means from repeated random samples of an exponential distribution, with specified Population parameter, Sample size, number of samples.
• 17. Visualize the distribution of sample means together with the fitted normal distribution

Note

The above problems are to be illustrated by considering a suitable system, and by using

suitable software or hardware.

Note

Minimum of Ten experiments out of which six experiments related to core courses are to be

conducted.

R19 M.TECH CONTROL ENGINEERING. / CONTROL SYSTEM

M. Tech – I Year – I Sem. (Control Engg. / Control Sys.)

MODELING AND SIMULATION LAB – I (Lab – II)

WRITING PROGRAMS AND DEMONSTRATION

• 1. Declination of earth, hour angle, day length, local apparent time
• 2. Monthly average, hourly global and diffuse radiation on a horizontal surface and tilted surfaces.
• 3. Power generation from a wind turbine, Variation of wind velocity and power with altitude
• 4. Solution of ordinary differential eqations-4th order R K Method
• 5. Solution of one-dimensional steady state heat conduction equation
• 6. Solution of two-dimensional steady state PDE
• 7. Solution of one-dimensional transient PDE FINITE ELEMENT ANALYSIS
• 8. Two-dimensional heat conduction
• 9. One dimensional transient heat conduction
• 10. Transient analysis of a casting process CFD ANALYSIS
• 11. Flow through a pipe bend
• 12. Flow through a nozzle R19 M.TECH CONTROL ENGINEERING. / CONTROL SYSTEM M. Tech – I Year – II Sem. (Control Engg. / Control Sys.)