Control system simulation using MATLAB – MCQs – EE

1. MATLAB is widely used for control system analysis because it can:
(A) Perform symbolic computation only
(B) Simulate and analyze dynamic systems
(C) Replace hardware
(D) Edit text documents

2. In MATLAB, the tf command is used to:
(A) Create transfer function models
(B) Generate time vectors
(C) Plot signals
(D) Solve linear equations

3. The ss command in MATLAB is used for:
(A) Creating state-space models
(B) Step response analysis
(C) Frequency response
(D) Plotting signals

4. The step command in MATLAB is used to:
(A) Plot step response of a system
(B) Solve differential equations
(C) Create transfer functions
(D) Compute eigenvalues

5. The impulse command in MATLAB is used to:
(A) Plot impulse response of a system
(B) Create matrices
(C) Compute determinants
(D) Solve algebraic equations

6. The bode command in MATLAB is used to:
(A) Plot Bode magnitude and phase plots
(B) Compute time response
(C) Solve algebraic equations
(D) Generate constants

7. The nyquist command is used for:
(A) Frequency response analysis
(B) Step response
(C) Matrix operations
(D) Integration

8. The rlocus command is used for:
(A) Root locus analysis
(B) Step response
(C) Impulse response
(D) Bode plot

9. MATLAB Control System Toolbox is used for:
(A) Modeling, analysis, and design of control systems
(B) Plotting signals only
(C) Matrix operations only
(D) Text processing

10. Feedback control systems can be simulated using:
(A) feedback command
(B) tf command only
(C) plot command
(D) solve command

11. To discretize a continuous-time transfer function, MATLAB uses:
(A) c2d command
(B) tf command
(C) step command
(D) bode command

12. The margin command in MATLAB calculates:
(A) Gain and phase margins
(B) Step response
(C) Eigenvalues
(D) Determinant

13. In MATLAB, pzmap is used to:
(A) Plot poles and zeros of a system
(B) Plot step response
(C) Plot frequency response
(D) Compute eigenvalues

14. The lsim command is used for:
(A) Simulating time response for arbitrary inputs
(B) Step response only
(C) Bode plot
(D) Root locus plot

15. In control system design, PID controllers can be implemented using:
(A) pid command
(B) tf command only
(C) bode command
(D) step command

16. Closed-loop transfer function is obtained using:
(A) feedback command
(B) tf command only
(C) step command
(D) impulse command

17. To plot system response in Simulink, you use:
(A) Scope block
(B) Constant block
(C) Gain block
(D) Sum block

18. State-space representation in MATLAB is created using:
(A) ss(A,B,C,D)
(B) tf command
(C) step command
(D) bode command

19. Pole locations determine:
(A) Stability of the system
(B) Step input magnitude
(C) Matrix size
(D) Solver type

20. Zero locations affect:
(A) System transient response
(B) Step input only
(C) Solver accuracy
(D) MATLAB workspace

21. MATLAB allows frequency-domain analysis using:
(A) Bode, Nyquist, and Nichols plots
(B) Step response only
(C) Matrix operations only
(D) Numerical differentiation

22. Root locus analysis helps to determine:
(A) How closed-loop poles move with varying gain
(B) Step response magnitude
(C) Frequency response only
(D) MATLAB script error

23. To analyze system stability, MATLAB uses:
(A) Pole locations and gain/phase margins
(B) Step response only
(C) Matrix determinant
(D) Random simulation

24. The c2d function allows:
(A) Converting continuous systems to discrete systems
(B) Plotting step response
(C) Plotting Bode plot
(D) Generating random numbers

25. Time-domain specifications include:
(A) Rise time, settling time, overshoot
(B) Poles only
(C) Frequency response only
(D) Zeros only

26. Frequency-domain specifications include:
(A) Gain margin and phase margin
(B) Rise time only
(C) Settling time only
(D) Overshoot only

27. MATLAB’s margin command gives:
(A) Gain and phase margins
(B) Rise and settling time
(C) Pole-zero map
(D) Step response only

28. Feedback loop analysis can be performed using:
(A) feedback, rlocus, and bode commands
(B) Only tf command
(C) Only step command
(D) Only impulse command

29. PID tuning in MATLAB can be done using:
(A) pidTuner tool
(B) tf command only
(C) step command only
(D) bode command only

30. MATLAB control system simulation helps in:
(A) Designing and analyzing dynamic systems before hardware implementation
(B) Only plotting graphs
(C) Matrix computations only
(D) File management