دورية أكاديمية

Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control

التفاصيل البيبلوغرافية
العنوان: Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control
المؤلفون: YU Qiong-xia, WANG Fu-zhong
المصدر: Gong-kuang zidonghua, Vol 37, Iss 5, Pp 34-37 (2011)
بيانات النشر: Editorial Department of Industry and Mine Automation
سنة النشر: 2011
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: pmlsm, dynamic mathematical model, bp neural network pid control, speed-regulation system, speed controller, Mining engineering. Metallurgy, TN1-997
الوصف: For characteristics of nonlinearity, time-varying volatility and nonstationarity to disturbance of hoisting system of PMLSM, an improved PMLSM speed-regulation system was designed on basis of established PMLSM d-q axis dynamic mathematical model and BP neural network PID control. The system modifies the fixed learning rate in BP neural network to a self-adaptive one, and adds momentum to reduce oscillation tendency in learning process, so it greatly improves convergence speed and avoid that network falls into a local minimum. The simulation result showed that using the improved BP neural network PID controller can make PMLSM speed-regulation system reduce adjusting time and overshoots greatly and accelerat response speed, and make the hoist system have better dynamic performance and robustness.
نوع الوثيقة: article in journal/newspaper
اللغة: Chinese
تدمد: 1671-251X
العلاقة: http://www.gkzdh.cn/article/id/3387Test; https://doaj.org/toc/1671-251XTest; https://doaj.org/article/8a671ba6a23d4043abe1ef50cb311127Test
الإتاحة: https://doaj.org/article/8a671ba6a23d4043abe1ef50cb311127Test
رقم الانضمام: edsbas.93A2BA0
قاعدة البيانات: BASE