JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• To acquire knowledge on control aspects of an electrical system.
• 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

• Represent various discrete time systems
• Analyze the given system by Transfer function and state space approach using suitable software.
• Design various controllers and compensators to improve system performance and test them in the laboratory as well as using suitable software.
• 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.