Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device

Kufa Journal of Engineering, Journal Year: 2025, Volume and Issue: 16(1), P. 80 - 103

Published: Feb. 4, 2025

The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for arm rehabilitation device and included building designing simulation model results device. A set tests were proposed to include firstly testing a system that represents state open secondly It closed device, third closed-loop with PID control fourth using ANN, finally can be used comparison between PIDC ANN. To conduct all test cases, program MATLAB, which help simulate an attempt regain movement in arm, is called rehabilitation. noted target group some people who suffer from stroke. By representing model, its effectiveness verified. possible aimed at improving performance by working on developing adopting appropriate design characteristics match required operational behavior conditions suit different situations. cases demonstrated through possibility identifying cases. difference these also identified. In addition recovery rehabilitate injured system’s presence expert neural network controller, it better than traditional controller.

Language: Английский

GWO-PID of Two-phase Hybrid Stepping Motor for Robotic Grinding Force

Journal of Fuzzy Systems and Control, Journal Year: 2023, Volume and Issue: 1(3), P. 71 - 79

Published: Nov. 22, 2023

The use of the computer program MATLAB is prominent in many studies that simulate industrial systems. current simulation aims to build a suitable model representing Two-phase Hybrid Stepping Motor (2Ph-HSM). This type motor employed specific application produce force called automatic grinding force. To control force, speed, and location, we need add systems, so two methods have been proposed, one which traditional, namely proportional, integral, derivative (PID) other intelligent, Gray Wolf Optimization (GWO). work also traditional algorithms advanced optimization were chosen for their ease possibility applications. By setting appropriate specifications after conducting prescribed tests different applications motor’s within electrical results demonstrated good performance, better response, high accuracy, addition speed. goal design tune controller by gray wolf (GWO) using transfer function (TF) 2Ph-HSM. adjust parameters conventional controllers optimization, mechanism technique selected from techniques, where algorithm was as an Integrated Time Absolute Error (ITAE) PID controller.

Language: Английский

Performance analysis of DC Servomotor with and without PID control under different loads for horizontal motion of MRI patient table

2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS), Journal Year: 2024, Volume and Issue: 3, P. 1 - 6

Published: Feb. 24, 2024

This paper explores DC servomotor control for horizontal motion under variable, constant, and no-load conditions. It conducts a comparative analysis, focusing on the impact of finely-tuned Proportional-Integral-Derivative (PID) controller. MATLAB/Simulink is employed to simulate servomotor's mathematical model, evaluating performance metrics like rise time, settling overshoot, steady-state error PID non-PID scenarios. Results highlight controller's efficacy in accurately tracking step ramp position references, minimizing overshoot across different loads. Comparative analysis reveals significant improvements with control, emphasizing its applicability real-world applications. research underscores effectiveness strategies enhancing performance.

Language: Английский