可逆冷带轧机速度张力系统的模糊自适应动态面反步控制

发布时间：2018-07-06 08:46

本文选题：可逆冷带轧机 + 非线性干扰观测器　；参考：《控制理论与应用》2017年03期

【摘要】：研究了基于动态面反步控制和模糊自适应逼近的可逆冷带轧机速度张力系统直接反馈线性化(direct feedback linearization,DFL)动态解耦控制问题.首先,通过构造非线性干扰观测器(nonlinear disturbance observer,NDO)削弱了模型中非匹配不确定项对系统性能的影响,进而应用DFL理论实现了速度张力非线性耦合系统的动态解耦和线性化;其次,将反步控制与动态面控制相结合完成了解耦后速度张力各线性子系统控制器的设计,且有效避免了反步控制中的"微分爆炸"现象;再次,采用模糊自适应方法对所设计控制器中的匹配不确定项进行了逼近估计,有效地提高了速度张力系统的跟踪控制精度;稳定性分析结果表明,可逆冷带轧机速度张力系统是一致最终有界的.最后,基于工业现场的实际数据进行仿真对比研究,仿真结果验证了本文所提方法的有效性.
[Abstract]:The dynamic decoupling control of speed tension system of reversible cold strip mill based on dynamic surface backstepping control and fuzzy adaptive approximation is studied. Firstly, by constructing a nonlinear disturbance observer (nonlinear disturbance observer NDO), the influence of the unmatched uncertainty on the system performance is weakened, and then the dynamic decoupling and linearization of the velocity-tension nonlinear coupling system are realized by using the DFL theory. By combining backstepping control with dynamic surface control, the design of each linear subsystem controller of velocity tension after decoupling is completed, and the phenomenon of "differential explosion" in backstepping control is effectively avoided. The fuzzy adaptive method is used to approximate and estimate the matching uncertainty in the designed controller, which effectively improves the tracking control accuracy of the speed tension system, and the stability analysis results show that, The speed tension system of reversible cold strip mill is uniformly ultimately bounded. Finally, the simulation results show that the proposed method is effective.
【作者单位】：燕山大学电气工程学院;国家冷轧板带装备及工艺工程技术研究中心;
【基金】：河北省自然科学基金项目(F2016203263) 河北省博士后科研项目择优资助项目(B2016003017) 河北省高等学校科学技术研究基金项目(QN2016122) 燕山大学博士基金项目(B960)资助~~
【分类号】：TG334.9

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