MATLAB Implementation of Iterative Learning Control
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In this project, we implemented an iterative learning control program that continuously optimizes control performance through repeated iterations. We designed a basic control algorithm and systematically improved it through multiple experimental cycles. The implementation involves creating a learning function that adjusts control parameters based on error feedback from previous iterations. Key MATLAB functions used include iterative error correction loops and performance evaluation metrics. Throughout the process, we conducted multiple experimental trials and performed comprehensive analysis of the results. The algorithm demonstrates excellent convergence properties, with each iteration refining the control output. Our analysis validated that this iterative learning approach achieves outstanding control performance, with significant improvement observed in tracking accuracy and system response characteristics.
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