塑料制品、 纸张、 布料、 皮制品是工业生产中重要的半成品和原材料， 在加工缠绕 过程中， 因机械震动和故障等多种因素， 频繁偏离缠绕方向， 严重影响产品质量。 目前， 国内外流行的纠偏控制器普遍采用常规的 PID 控制方法。 由于在纠偏过程中， 带材质量， 卷绕力矩不断变化， 所以纠偏系统是一个非线性时变系统， 常规 PID 很难满足高精度控 制要求。因此，进一步研究纠偏控制具有重要的科研价值和经济意义。 本文主要研究纸质带材纠偏控制系统。 首先， 介绍了纠偏系统的组成和原理， 建立 了纠偏控制对象数学模型， 分析了常规 PID、 模糊控制的控制原理， 设计出自调整比例 因子模糊 PID 控制器—可根据控制误差信号和误差变化率自动修改 PID 控制参数。然后， 分别使用自调整比例因子模糊 PID 控制、 自适应模糊 PID、 常规 PID 三种控制方法， 对 同一模型进行仿真对比。结果表明， 自调整比例因子模糊 PID 控制器具有调节时间短、 超调量小、 稳定误差小等特点， 克服了传统的 PID 控制器对时变性对象控制效果欠佳的 缺点，提高了系统的控制鲁棒性， 优于前两种控制器。 最后 ，设计开发了纠偏系统硬件电路与应用软件。其中硬件电路包括： TMS320F28335 外围电路、 人机交互电路、 数据采集调理电路、 执行机构电路、 电源模 块电路、 限位保护电路等。 软件部分主要包括： 控制模块设计、 纠偏工作模式设计、 PWM 控制输出模块设计、 液晶显示模块设计、 数据采集模块设计等。 经现场测试， 纠偏误差 为  0.1mm ，可以满足生产实际需求。 自调整比例因子模糊 PID 纠偏控制器， 纠偏精度高， 纠偏速度快， 可以满足纠偏现场的需求，具有一定推广价值。

Plastics, paper, cloth, leather is an important semi-manufactured and raw materials in industrial production. According to the winding process, this production often produces the strip lateral offset because of the mechanical vibration and failure, and seriously affects the quality of products. Nowadays, conventional PID is a popular control method of strip rectification controllers both inland and abroad. However, With the strip quality and driving torque, rectification system is a nonlinear control system. these control methods are difficult to the need of high-precision in the correction process. Therefore, it is very important to research correction control in the scientific value and economic significance. Firstly, this paper proposes the status of corrective technology development at inland and abroad and the composition and principle of the correction system. Then the paper designs a mathematical model about control object correction, analyzes the control theory of conventional PID and fuzzy control. Combining these advantages, the paper designs a modified adaptive fuzzy PID controller. The fuzzy controller can automatically modify the PID control parameters based on the control error signal and overcome the disadvantage of traditional PID ineffective due to parameters fix. To verify the effect of the control of the controller, this controller improves the robustness of the control system and respectively uses three kinds ofmethod such as self-adaptive fuzzy control method based on the proportionality factors, fuzzy PID of self-adaptation, conventional PID to use the same simulation model to control. The results shows that the scaling factor fuzzy self-tuning PID controller has more short oftime, smaller ofpercent overshoot, more stable than the other controllers. Finally, the paper designs and implements the hardware circuits and software applications based on the above control strategy. The hardware circuit includes: TMS320F28335 DSP interface peripheral circuit, interactive circuit, actuator circuits, power module circuit, position limitation protection circuits. Software applications include: rectification control module, LCD display and refresh module, PWM generator module, A/D data conversion module. Experimental results show that the proposed paper and designed the adaptive rectification controller reaches the target, the correction error is  0.1mm . The Adaptive correction controllers has a strong practicability, a high precision correction and faster, can be the needs of the field correction. The case study shows that the prediction result is ofhigh accuracy.