Dissertation > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system

Design of Measurement and Control System for Grinding Wheel Dynamic Balance Based on DSP

Author ZhangZhiLi
Tutor HanShunJie
School Changchun University of
Course Power Electronics and Power Drives
Keywords Dynamic balance wavelet analysis Time optimal control Balance compensation Measurement and Control System
CLC TP273.5
Type Master's thesis
Year 2011
Downloads 12
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In the grinder, grinding wheel imbalance will not only cause the vibration and noise, serious impact on the improvement of quality and precision grinding, but also speed up the spindle and bearing wear, seriously affecting the grinding life. In precision CNC machining process, the increasing demand for dynamic balancing of precision to resolve the issue.The article first analyzes the wheel mechanism and the resulting unbalance causes unbalanced signal to obtain the general characteristics of wavelet bases for the wavelet analysis will lay the foundation. Then the method by computer simulation analysis conducted on-site sampling data wavelet analysis, the extraction well reconstructed the unbalance vibration signals. In this paper, head of the internal structure and principle of balance based on the analysis, the establishment of a balancing head of the mathematical model. On this basis, the introduction of the time optimal control algorithm to the wheel balancing control system. The simulation results show:that the algorithm effectively reduces the settling time and overshoot, improved control efficiency and accuracy. Based on the extensive understanding and learn from the advanced technology based on the design of a new type of wheel balancing control system. The system as a core control chip TMS320LF2407 processor, with the magnetic-electric sensors to detect wheel rotation speed of the imbalance vibration to the wheel speed optical sensor as the reference signal, with DB10 wavelet wavelet analysis to extract the vibration signal reconstruction, using the time optimal control algorithm for high-speed rotation of the wheel balance control within the first two-motor, driven double eccentric gear ring to change the center of gravity to achieve balance between the amount of unbalance vibration compensation.The system is modular and structured approach to design hardware and software, and ultimately form a complete wheel balancing control system, and to complete the bench in the cylindrical grinder. Experimental results show that the system can extract a good signal imbalance, and can significantly reduce the vibration caused by unbalanced wheels, balance time to reach the intended target.

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