科研之友
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摘要
Saving and reducing energy consumption is one of the major issues of process industries. Non-plan shutdown not only influences the continuous production, but also costs high unscheduled energy-consuming. With the improvement in high-speed machinery and enhancement in the power/weight ratio, more and more attentions are paid on unbalance control of rotors. For the smooth long-term operation, it is necessary to remove the unbalance as much as possible. Planning downtime maintenance as the main countermeasure still has some weaknesses. From the point of energy-saving and maintenance cycle prolongation, on-line rotor automatic balancing control system has profound significance. In this paper, a PC/104 embedded real-time control system for automatic rotor balancing was studied. Benefiting from the modular design, this system can be easily re-constituted or expanded under different working conditions. The special designed hardware resists harsh environment. As an embedded application, the Iterative Learning Control (ILC) algorithm and Least Mean Square (LMS) algorithm were selected for unbalance signal identification and vibration control. During the derivation process, a unified fast algorithm structure was achieved through the vector geometric analysis. A Higee rotor was chosen as the controlled object, which usually has a large axial size in the cantilever end which leads to a poor rotational stability and makes the rotor sensitive to unbalance disturbances. A mathematical model of Higee rotor was established. Pure injection balancer and electromagnetic balancer were separately used as the actuator. Three different control algorithms were compared under single eccentric mass disturbance and continuous ones. Simulation results manifested the effects of ILC in rotor auto-balancing control, especially on the "over-control" issue during the balancing process. After the simulations, the PC/104 embedded control system was put online for auto-balancing. The operation status confirmed that the unbalancing vibration was effectively restrained.
- 出版日期2011-10
- 单位北京化工大学
