Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

المؤلفون المشاركون

Zhou, Mingjian
Wang, Yuqin
Wu, Haibing

المصدر

Advances in Materials Science and Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-09-17

دولة النشر

مصر

عدد الصفحات

13

الملخص EN

The transfer function of the wave compensation system is deduced.

The interference signal acting on the system is eliminated by the feed-forward compensation correction method.

The pole assignment of the system is carried out after eliminating the interference signal.

The genetic PID algorithm is proposed, and the genetic PID controller is designed.

The control block diagram of the wave compensation system based on the genetic PID control algorithm is established, and the optimal index and PID parameters are optimized by the crossover and mutation operators of the genetic particle swarm optimization algorithm.

The simulations and experiments of the system show that the control performance of the wave compensation system based on the genetic PID algorithm is greatly improved.

The higher control precision is obtained.

The anti-interference ability and the robustness of the system are increased.

The accuracy of the control method is verified.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhou, Mingjian& Wang, Yuqin& Wu, Haibing. 2019. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1119413

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhou, Mingjian…[et al.]. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1119413

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhou, Mingjian& Wang, Yuqin& Wu, Haibing. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1119413

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1119413