Servo Motion Control Of Axle Housing Machining Accuracy Detection Device

The heavy-duty drive axle housing is a key structural component of the chassis of a heavy truck,and it has an irreplaceable role in improving the performance of the entire vehicle.With the continuous improvement of the processing quality requirements of the axle housing,the accuracy requirements of the measurement error of the axle housing processing are getting higher and higher.The measurement of the axle housing is different from the measurement of ordinary workpieces.The space relationship of the hole system,shaft system and surface system to be measured by the axle housing is complicated.Therefore,it is very difficult to achieve in-situ automatic measurement of the axle housing and ensure its measurement accuracy.In general,the characteristics and measurement requirements of the axle housing have brought great challenges with the design of the control system of the axle housing machining accuracy detection device,servo motion control,and controller algorithms.In response to the above challenges,this paper takes the inspection and control system of the axle housing machining accuracy as the research object,and conducts research around the overall design of the control system,servo motion control,and controller algorithm.We started from the requirements of the measurement accuracy of the detection device,thoroughly researched the reasons for the low detection accuracy,and established the control system design plan.At the same time,the servo system of the axle housing machining accuracy detection device was built.In order to further improve the detection accuracy,the PID control algorithm based on the dominant pole and phase margin is studied on the basis of proportionally reducing the prototype detection device.This control algorithm comprehensively improves the speed stability,position tracking and robust performance of the servo system.The specific research contents are as follows:(1)For the measurement terminal in the detection device,considering the influence of the uncertain external disturbance on the measurement accuracy during the detection of the measurement terminal,we propose a non-contact measurement scheme combining a laser displacement sensor and an industrial camera.In order to meet the measurement accuracy and reduce the impact of factors such as complex on-site working environment and non-linear friction,this paper takes PLC controlleras the core and proposes a servo motion control scheme based on PROFINET.The control scheme includes hardware selection of the control system,servo control,OPC communication,HMI human-computer interaction,servo motor debugging,etc.,and we also design the control software architecture and write the program,designing the control scheme of the detection device as a whole.(2)Since the parameter optimization method of Siemens servo drive system has been difficult to meet the requirements of higher accuracy detection of axle housing machining errors,this paper further studies the improved control algorithm that comprehensively improves the system’s motion accuracy and robust performance.Based on the scaled-down prototype of the heavy truck axle housing inspection device,according to the structure and working principle of the axle housing inspection device,a heavy truck axle housing inspection experiment system was built.According to the mechanical structure and electrical properties of the detection device,the electromechanical coupling dynamic model of the servo motion platform of the detection device is established.Aiming at the speed and position control requirements of the servo motion of the detection device,a parallel PID controller based on the dominant pole and phase margin is designed.The controller enters the generated reference signals into the speed loop and position loop of the servo system for PID control,which ensures the tracking performance and rapidity of the system,eliminates the interference of nonlinear disturbances,and improves the robustness of the system.(3)In order to further consider the impact on the performance of the servo system under different disturbances and detection speeds,we conducted experiments on the control algorithm under different disturbances and speeds based on the self-built bridge shell in-situ detection experimental device.Through the analysis of the results,the control algorithm effectively achieves uniform and smooth high-precision motion control of the servo motor,and shows good following performance and robustness.At the same time,the effectiveness of the control method proposed in this paper is verified,which has a good guiding significance for improving the detection accuracy of the heavy truck axle housing detection device.