Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control

Joint Authors

Huang, Zhiwen
Wei, Zhouxiang
Zhu, Jianmin

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-21

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

To control the position of the magnetic levitation ball more accurately, this paper proposes a deep neural network feedforward compensation controller based on an improved Adagrad optimization algorithm.

The control structure of the controller consists of a deep neural network identifier, a deep neural network feedforward compensator, and a PID controller.

First, the dynamic inverse model of the magnetic levitation ball is established by the deep neural network identifier which is trained online based on the improved Adagrad algorithm, and the trained network parameters are dynamically copied to the deep neural network feedforward compensator.

Then, the position control of the magnetic levitation ball system is realized by the output of the feedforward compensator and the PID controller.

Simulations and experiments illustrate that the accuracy of the deep network feedforward compensation control based on an improved Adagrad algorithm is higher, and its control system shows good dynamic and static performance and robustness to some extent.

American Psychological Association (APA)

Wei, Zhouxiang& Huang, Zhiwen& Zhu, Jianmin. 2020. Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201906

Modern Language Association (MLA)

Wei, Zhouxiang…[et al.]. Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1201906

American Medical Association (AMA)

Wei, Zhouxiang& Huang, Zhiwen& Zhu, Jianmin. Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201906

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1201906