- 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
- 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
- Development of schematic Model of a dynamical system (Motor/Generator/ Power System etc)
- Obtain the dynamic response of a continuous system and comment on the effect of parameter variations.
- Time-Domain Analysis, Error–Analysis, Stability Analysis in Continuous and Discrete domains.
- Stability Analysis (Bode, Root Locus, Nyquist) Of Linear Time Invariant System in discrete domain
- Evaluation Of The Effect Of Additional Poles And Zeroes On Time Response Of Second Order System and its stability
- Design of Digital controllers (P, PI, PID Controllers)
- Design of Digital Compensators.
- Design of State Feedback Controllers and Observers
- Conversion of State Space Model into Classical Transfer Function and Vice Versa.
- Simulation Of A Closed Loop System(Plant And Compensator) for discrete systems
- 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.
- Obtain the describing function for a given nonlinearity over the different sets of range amplitudes for a fixed frequency.
- Obtain the limit cycle time response and phase plot for stable and unstable vanderpol’s equation
- Estimation of parameters Using Recursive Least Squares Estimator.
- 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:
- Based on the distribution of means from repeated random samples of an exponential distribution, with specified Population parameter, Sample size, number of samples.
- Visualize the distribution of sample means together with the fitted normal distribution
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