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Control Systems Analysis Dataset

This dataset contains analytical examples for both continuous and discrete closed-loop control systems and control objects.

๐Ÿ› ๏ธ Core Analysis Methods

  • Maxima CAS: Examples using the Maxima symbolic computing system (Computer Algebra System).
  • Hybrid Workflows: Systems and objects analysis combining Maxima and Python.

๐Ÿ“ˆ Continuous Objects & Control Systems

Circuit Analysis & Modeling

  • Kirchhoff's Rules: Introduction to electrical circuit analysis.
  • Equation Systems: Compiling systems for circuit voltages and node currents.
  • Incidence Matrices: Using a netlist to compose structural matrices.

Transfer Function & Stability Analysis

  • Step Response: Transfer function analysis and obtaining response to a given signal.
  • Zero-Pole Analysis: Zeros and poles of the transfer function.
  • Stability: Pole-based stability criteria.
  • Root Locus: Constructing trajectories when varying object or system parameters.

Second-Order System Analysis

  • Symbolic Evaluation: Symbolic analysis for second-order systems.
  • System Types: Discriminant, oscillatory, aperiodic, and multiply aperiodic systems.

Frequency Domain Analysis

  • Complex Response: Evaluation of complex frequency response (imaginary and real parts).
  • Bode Elements: Frequency and phase response using the arctangent of complex arguments.

Integral Transforms

  • Laplace Transform: Forward and inverse Laplace transforms.
  • Numerical Methods: Numerical Inverse Laplace transform for higher-order systems.

๐Ÿ”ข Discrete Systems

Discretization Techniques

  • Bilinear Transforms: Tustin substitution, bilinear transform, rectangle (left/right), and trapezoid methods.
  • Zero-Pole Matching: Matching methods for continuous-to-discrete translation.
  • Special Cases: Matching methods in the presence of single or multiple zeros equal to zero.

Digital Filter Implementation

  • Reduction: Reducing discrete transfer functions to digital filters.
  • DSP Optimization: Types of digital filters and optimization for digital signal processors.

๐Ÿงฎ Numerical & Nonlinear Computation

Function Calculation Methods

  • Taylor Series: Function approximation and sine function calculations.
  • Newton-Raphson Method: Root functions and division operations.
  • Coefficient Approximation: Approximation methods for Taylor series coefficients.
  • Fixed-Point Optimization: Adapting approximations for arithmetic right and left bit-shifts.

โšก Advanced Power Control

Park Transform Systems

  • Modulation Effects: Laplace transform of function-sine products and amplitude modulation.
  • Dynamic Links: Links in $\alpha\beta$ or $dq$ channels.
  • Symbolic Modeling: Analysis of symmetrical closed-loop systems with Park transforms.
  • Harmonic Analysis: Evaluation of second harmonic effects.

Single-Phase Astatic Systems

  • Transformations: Single-phase $dq$ transform.
  • Filtering: Second-order notch filters and infinite Q band-pass filters.
  • Resonant Controllers: Controller properties and closed-loop systems with resonant controllers.
  • Astatic Control: Control based on a specific frequency component.
  • AC Circuits: Symbolic analysis of AC circuits at a given frequency.

Symmetrical Components

  • Extraction: Symmetrical components extraction and the rotation operator.
  • Signal Orthogonalization: Phase filters and orthogonal signal generation.

Variable coefficients filters

  • Variable Coefficients Phase filters with variable transfer function coefficients.
  • Adaptive Filtering Notch filters with variable coefficients.

Phase-Locked Loops (PLL)

  • Variable Coefficients: Phase, Notch filters, Integrators with variable transfer function coefficients.
  • Feedback Systems Nonlinear frequency-dependent feedback loops.
  • Phase filtering with unwrapping +- pi correction of atan2