ENEE204
Control System
Syllabus
- Control System Background (2 hours)
- History and importance of control systems
- Characteristics, components, variables, and basic features
- Types of control systems and comparative analysis
- Component Modeling (6 hours)
- Differential equations and transfer function notations
- Mechanical components: mass, spring, damper modeling
- Electrical components: inductance, capacitance, resistance, DC/AC motors, transducers, operational amplifiers
- Force-voltage and force-current analogies
- Linearized approximations of nonlinear characteristics
- System Transfer Function and Responses (10 hours)
- Component combinations for physical systems
- Block diagram algebra and reduction
- Signal flow graphs
- Time response analysis including impulse, step, ramp, parabolic test signals
- First and second-order system analysis
- Transient response characteristics (rise time, peak time, delay time, settling time, overshoot)
- Static error coefficients and steady-state error
- P, PI, PD, PID controllers and derivative feedback
- Stability (4 hours)
- Stability introduction and instability causes
- Characteristic equations and root location
- Routh-Hurwitz criterion and loop gain setting
- Relative stability via complex plane axis shifting
- Root Locus Technique (6 hours)
- Root locus introduction and principles
- Relationships between root loci and system time response
- Manual calculation and construction rules
- Stability assessment using root locus
- Frequency Response Techniques (8 hours)
- Frequency domain system characterization
- Real and complex frequency response relationships
- Polar plots and Nyquist criterion
- Gain and phase margin analysis
- Bode plots with magnitude and phase representation
- Frequency domain stability analysis
- Performance Specifications and Compensation Design (6 hours)
- Compensator techniques and applications
- Root locus and frequency response design methods
- Lead and lag cascade compensation (root locus and Bode approaches)
- Lead-lag compensator concepts
- State Space Analysis (4 hours)
- State-space definitions and variables
- Electrical and mechanical system representations
- State-space to transfer function conversion
- Transfer function to state-space conversion
- State-transition matrix analysis
Practicals
- DC motor control
- Component characterization
- Feedback effects
- Frequency response determination
- Closed-loop system simulation