Active Disturbance Rejection Controller Simulation

Active Disturbance Rejection Controller (ADRC) simulation with S-function implementation of tracking differentiator. In ADRC simulations, various algorithms and methodologies can be employed to achieve system stability and disturbance rejection performance. The S-function implementation of tracking differentiator serves as a fundamental approach that facilitates better understanding and optimization of control system response characteristics. This implementation typically involves defining state equations and output functions within MATLAB's S-function framework, where key components include: - State initialization and update procedures - Discrete-time or continuous-time system modeling - Derivative calculation and noise filtering mechanisms Through simulation experiments, researchers can validate the effectiveness of these methods and perform further optimization based on experimental results. The tracking differentiator algorithm, often implemented using finite difference methods or state observers, provides smooth derivative signals while suppressing measurement noise. Simulation parameters such as sampling time, tuning coefficients, and disturbance models can be systematically adjusted to analyze system robustness. Therefore, ADRC simulation with S-function implementation of tracking differentiator constitutes a critical component in control system design and research, enabling practical verification of theoretical frameworks and performance benchmarks.