An Advanced Deviation Regulation System Based On Repetitive Control

In the strip production process, such as flexible packaging printing materials, textiles, metal foils and other kinds of strips, a periodical S-shape horizontal deviation of the strip often occurred, which is caused by the irregular wind in the front procedure, mechanical vibration and speed imbalance from production units or many other reasons. This will result the jagged edges in rolling strip, lower product quality and increase raw material consumption. Focus on this issue, this paper introduces an advanced deviation control system which based on adaptive repetitive control and feedforward control.Firstly, the paper analyzed the reasons of strip deviation, starting from those reasons to description the characteristics of deviation interfering signals, and using an advanced unwinding deviation control system as an example to explain the program scheme and also analyzed system working principle. By analyzing the existing product features and user demands, this paper divided the system hardware and software into several function modules. In order to design a stable performance, high sensitivity and easy going advanced deviation correct control system.Then this paper proposed an advanced comprehensive corrective algorithm which was combined with repetitive control and deviation frequency statistical adaptive, after analyzed the mathematics model of unwinding deviation control system, and according with the good tracking performance repetition control have when tracking periodic signal. Meanwhile, using MATLAB to simulate the advanced deviation control system by overcome various types of deviation signals. After analyzed the simulate result between the advanced comprehensive corrective algorithm and PID+feedforward control algorithm. Concluded that the advanced comprehensive corrective algorithm was effectiveness and also provided a reliable theoretical basis for realization.Finally, the software and hardware of the advanced deviation controller are implemented in this design. The hardware part consists of Embedded Master control panel circuit, Signal Acquisition circuit, power devices module and human-machine interface module. Some scheme demonstrations of important modules are also given. We adopts the module structure programming method basesμCOS-II RTOS and divided it into several task modules, introduced the realization of adaptive repetitive control algorithm, PWM pulse control and Human-machine Interaction. Theoretical analysis and experimental results show that the system has achieved the anticipated results and has good prospects for application.