Disturbance Observer-Based PID Control Algorithm with MATLAB Implementation

In the following text, I will provide a detailed explanation of the MATLAB simulation source program for the disturbance observer-based PID control algorithm. This algorithm achieves robust system control by combining a disturbance observer with a PID controller. The disturbance observer estimates system disturbances, while the PID controller computes control outputs based on system error signals. This integrated approach enables effective system stabilization through real-time disturbance compensation and precise error correction.

During the simulation program implementation, we utilized MATLAB software for development. MATLAB is a powerful mathematical computing environment suitable for various computational tasks and simulation analyses. In this simulation program, we employed MATLAB's Control System Toolbox to implement the PID controller and developed a custom disturbance observer module. The implementation includes key functions such as designing observer gain matrices, implementing state estimation algorithms, and configuring PID parameters (proportional, integral, derivative gains). Additionally, we utilized MATLAB's graphical interface tools to create visualization components for the simulation program, enabling intuitive display of system responses, disturbance estimates, and control performance metrics through real-time plotting functions.

In summary, the MATLAB simulation source program for disturbance observer-based PID control algorithm serves as a valuable tool for achieving stable system control. Through this explanation, you should have gained deeper understanding of the algorithm's architecture and can effectively apply it to solve practical engineering problems involving disturbance rejection and precision control applications.