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The continuous development of industrial automation and intelligence makes the application of hydraulic system become more and more frequent, in which the performance of hydraulic motor directly affects the efficiency and reliability of the whole system. For this reason, the study firstly modeled the hydraulic motor measurement and control loading system by mathematical modeling, and secondly, based on proportional-integral-derivative control technology, genetic algorithm and radial basis function were introduced to optimize the parameter rectification, and finally a new measurement and control system model was proposed. The experimental results show that this new model has the best performance when the center value is 0.45, the width parameter is 0.3 and the weight parameter is -0.1. The shortest response time is 1.2 seconds, the average amplitude is 8 mm, and the frequency is basically the same as the original system. The fastest motor speed is up to 1470 rpm, the minimum measurement and control error is 0.49 mm, the fastest system response time is 0.25 sec, and the minimum overshoot is 2.87%. It can be seen that the new measurement and control model can significantly improve the dynamic performance and stability of the hydraulic motor. The study aims to improve the measurement and control accuracy and response speed of hydraulic motors by improving the existing control algorithms, and to provide a new direction for the technological development in this field.