RESEARCH ON SIMULATION OF CONTROL METHOD OF INTELLIGENT REHABILITATION TRAINING BASED ON CSBP
RESEARCH ON SIMULATION OF CONTROL METHOD OF INTELLIGENT REHABILITATION TRAINING BASED ON CSBP
- Author(s): D. Wu 1 ; Y. Gu 1 ; C. Ma 1 ; P. Su 2
- DOI: 10.1049/icp.2021.1306
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): D. Wu 1 ; Y. Gu 1 ; C. Ma 1 ; P. Su 2
-
-
View affiliations
-
Affiliations:
1:
Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science & Technology University , Beijing , China ;
2: Mechanical Electrical Engineering School, Beijing Information Science & Technology University , Beijing , China
Source:
The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020),
2021
p.
32 – 36
-
Affiliations:
1:
Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science & Technology University , Beijing , China ;
- Conference: The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)
- DOI: 10.1049/icp.2021.1306
- ISBN: 978-1-83953-506-2
- Location: Online Conference
- Conference date: 28-29 November 2020
- Format: PDF
Because of the control method of permanent magnet motor in a lower limb rehabilitation equipment, the research is carried out based on the CSBP Neural Network to Optimize PID Controller Parameters for better control performance of the motor to obtain a more stable control process. From the characteristics of lower limb rehabilitation training can be seen that the speed loop proportional integral (PID) control model is introduced and by using the CSBP neural network the parameters of Kp, Ki, Kd of the PID controller are optimized, which process are carried out calculation under the MATLAB/Simulink. The results show that the output curves of the PID controller after CSBP, which concluded that the optimized controller model could quickly and adaptively adjust PID parameters, and the control effect is obviously better than traditional PID controller.
Inspec keywords: neurocontrollers; optimal control; permanent magnet motors; patient rehabilitation; three-term control; fuzzy control
Subjects: Optimal control; Fuzzy control; Biological and medical control systems; Control of electric power systems; Neurocontrol; Spatial variables control; d.c. machines