The Research On Grindign Wheel On-line Dynamic Balance Detection System

This paper introduces the development of online dynamic balance technique, and prospects the direction of its development of existing online dynamic balance technique. Based on the existing technology we take the rigid rotor which work on the constant speed, as the research object, by BP neural network, establish the rotor-the spindle input and output shaft nonlinear relation .We prove that between the quantity and the simulation analysis of the model is validated. Through simulation, data and samples of mapping the error we can improve the accuracy of on-line dynamic balance detection system which is very important for us.Based on DSP core device we developed the grinding field online dynamic balancing detection system. This instrument can finish single-side bob weight detection. It also can real-time display balancing of the amplitude and phase of the rotor speed, etc. The system is a completely high efficiency. It takes only 10 minutes to finish the whole operation .By the good human-machine interface, it is easy to use. The paper show us how to build a detection system from two aspects including hardware and software .The aspects include sensors selection, signal processing circuit, the power supply module, DSP control module, man-machine interaction module, speed module, balancing decoding module, etc. It will be very helpful for anyone who try to design the detection system.Finally, the paper according to ISO standards checks for the effect of the system's measurement. Results showed that the grinding on-line dynamic balance test system works very ideally. And on all aspects of the error of the system are analyzed in detail. For further improving precision the paper plays a very important role.