EC-404 · Control System/Unsolved PYQ Paper
EC-404 Control System - Jun 2026 Question Paper
Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.
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7 MarksaDefine a Control System. Classify control systems with suitable real-life examples.
How to answer
- Definition of control system as interconnection of components to obtain desired output
- Classification: open-loop vs closed-loop, linear vs non-linear, time-invariant vs time-variant, SISO vs MIMO
- Classification: continuous vs discrete, deterministic vs stochastic
- Real-life examples for each type e.g. traffic signal, room heater, servo, refrigerator
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7 MarksbDevelop the mathematical models of Mechanical and Electrical Systems. Derive their Transfer Functions.
How to answer
- Mechanical elements: mass, damper, spring and force balance equations
- Electrical elements: R, L, C and KVL/KCL equations
- Force-voltage and force-current analogous circuits
- Derivation of transfer function $C(s)/R(s)$ via Laplace transform
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7 MarksaExplain the block diagram representation of control systems. Discuss the rules of Block diagram Reduction.
How to answer
- Block diagram elements: summing point, take-off point, forward path, feedback
- Canonical closed-loop representation and transfer function
- Rules of block diagram reduction: series, parallel, feedback, shifting points
- Stepwise reduction example to single block
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7 MarksbExplain the Signal Flow Graph (SFG). State Mason's Gain Formula and explain its application.
How to answer
- Definition of SFG: nodes, branches, transmittance, source and sink
- Terminology: forward path, loop, non-touching loops
- Statement of Mason's gain formula $T = \frac{1}{\Delta}\sum P_k \Delta_k$
- Application procedure to find overall transfer function
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7 MarksaCompare Open-Loop and Closed-Loop Control Systems. Explain the advantages of feedback.
How to answer
- Definitions and block diagrams of open-loop vs closed-loop
- Comparison table: feedback, accuracy, stability, cost, sensitivity
- Advantages of feedback: reduced sensitivity, disturbance rejection, improved dynamics
- Examples of each system
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7 MarksbExplain the following:
- (i))Regenerative Feedback
- (ii))Linearization by Feedback
- (iii))Sensitivity
- (iv))Disturbance Rejection
How to answer
- Regenerative feedback: positive feedback concept and effect
- Linearization by feedback: handling non-linearities
- Sensitivity: definition $S = \frac{\partial T/T}{\partial G/G}$ and reduction
- Disturbance rejection: how feedback suppresses disturbances
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7 MarksaExplain the Standard Test Signals. Derive the Time Response of a First-Order System for a unit step input.
How to answer
- Standard test signals: step, ramp, parabolic, impulse and sinusoidal
- Laplace transforms of test signals
- First-order transfer function $1/(Ts+1)$ with unit step
- Derivation of time response $c(t)=1-e^{-t/T}$ and time constant
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7 MarksbExplain the Time Response of a second order system. Discuss Steady-state Error and Error constants.
How to answer
- Second-order model $\omega_n^2/(s^2+2\zeta\omega_n s+\omega_n^2)$ and damping cases
- Transient specifications: rise time, peak time, overshoot, settling time
- Steady-state error $e_{ss}$ for step, ramp, parabolic inputs
- Error constants $K_p, K_v, K_a$ and system type
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7 MarksaExplain the concept of Stability in linear control systems. Describe the Routh-Hurwitz Stability Criterion.
How to answer
- Stability concept: bounded input bounded output, pole locations
- Necessary and sufficient conditions for linear systems
- Routh-Hurwitz table construction procedure
- Stability determination and special cases
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7 MarksbExplain the Root Locus Technique. State the rules for constructing the Root Locus.
How to answer
- Root locus concept: variation of closed-loop poles with gain K
- Angle and magnitude conditions
- Rules for construction: asymptotes, breakaway, centroid, crossings
- Sketching procedure and stability inference
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7 MarksaExplain the relationship between Time Response and Frequency Response. Describe Polar Plot and Bode Plot.
How to answer
- Correlation between time-domain specs and frequency-domain specs
- Polar plot: magnitude-phase locus for $\omega:0$ to $\infty$
- Bode plot: log magnitude and phase vs log frequency
- Gain crossover, phase crossover and stability margins
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7 MarksbExplain the Nyquist Stability Criterion. Discuss Gain Margin, Phase Margin, and Relative Stability.
How to answer
- Nyquist criterion: $Z = N+P$ encirclement of -1+j0
- Mapping of Nyquist path and stability determination
- Gain margin and phase margin definitions
- Relative stability interpretation from margins
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7 MarksaExplain the objectives of control systems design. Describe Phase-Lag, Phase-Lead, and Lead-Lag compensation techniques.
How to answer
- Design objectives: stability, accuracy, speed, robustness
- Phase-lag compensation: characteristics and transfer function
- Phase-lead compensation: characteristics and design
- Lead-lag compensation: combined improvement
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7 MarksbExplain the following controllers:
- (i))Proportional (P) Controller
- (ii))Integral (I) Controller
- (iii))Derivative (D) Controller
- (iv))PID Controller
How to answer
- P controller: $u=K_p e$ effect on steady-state and stability
- I controller: elimination of steady-state error
- D controller: predictive action and damping improvement
- PID combination: tuning and overall performance
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7 MarksaExplain the state-space representation of control systems. Derive the State Equation and Transfer Matrix.
How to answer
- State, state vector, state-space model $\dot{x}=Ax+Bu, y=Cx+Du$
- Derivation of state equation from differential equation / transfer function
- Transfer matrix $G(s)=C(sI-A)^{-1}B+D$
- Block diagram of state model
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7 MarksbDefine Controllability and Observability. Explain their importance in modern control systems.
How to answer
- Definitions of controllability and observability
- Kalman tests using controllability and observability matrices
- Importance for state feedback and observer design
- Role in modern control: pole placement, minimal realization
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