The issue of dynamic batch profile synchronization is addressed. By converting synchronization into a dynamic optimization problem, dynamic time warping (DTW) and derivative DTW:(DDTW) show the best performance by far. To deal With the singularity point and numerical derivative estimation problems Of DTW and DDTW in the presence of noise, a robust DDTW algorithm is proposed by combining the Savitzky-Golay filter and DDTW algorithm together. A comparative analysis of robust DDTW and available methods is performed on simulated and real chemical plant data.