Dynamic Responses of PIλ, PDδ, and PIλ Dδ Controllers for Prosthetic Hand Model Using PSO Algorithm

Iqbal M. Batiha; Reyad El-Khazali; Shaher Momani

doi:10.1109/ISSPIT47144.2019.9001835

Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm

Iqbal M. Batiha, Reyad El-Khazali, Shaher Momani

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Prosthetic hand is a device designed to help those with full or partial hand loss retain the function and appearance of a regular hand. It has been shown that such device needs to be enhanced in the control capabilities and functional devising. Thus, a robust design is required to enhance the performance of prosthetic hand model, and also improve existing capabilities to the optimum level. The objective of this paper is to design and analyze the Fractional-order Proportional Integral (PI^λ), Fractional-order Proportional Derivative (PD^δ), and Fractional-order Proportional Integral Derivative (PI^λD^δ) controllers for the model under consideration, in order to realize accurate control with high performance. The effect of each controller on the dynamics of a closed-loop system has been discussed and analyzed. Tuning parameters for each controller has been done using Particle Swarm Optimization (PSO) algorithm via El-Khazali's approach. Different simulated comparisons reveal that the performance of PI^λD^δ-controller is outperform than other controllers in terms of rise time, settling time and overshoot.

Original language	British English
Title of host publication	2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728153414
DOIs	https://doi.org/10.1109/ISSPIT47144.2019.9001835
State	Published - Dec 2019
Event	19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019 - Ajman, United Arab Emirates Duration: 10 Dec 2019 → 12 Dec 2019

Publication series

Name	2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019

Conference

Conference	19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019
Country/Territory	United Arab Emirates
City	Ajman
Period	10/12/19 → 12/12/19

Keywords

El-Khazali's approach
Laplacian operator
particle swarm optimization algorithm
PIλ Dδ -controller
prosthetic hand model

Access to Document

10.1109/ISSPIT47144.2019.9001835

Cite this

Batiha, I. M., El-Khazali, R., & Momani, S. (2019). Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm. In 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019 Article 9001835 (2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT47144.2019.9001835

Batiha, Iqbal M. ; El-Khazali, Reyad ; Momani, Shaher. / Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm. 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019).

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title = "Dynamic Responses of PIλ, PDδ, and PIλ Dδ Controllers for Prosthetic Hand Model Using PSO Algorithm",

abstract = "Prosthetic hand is a device designed to help those with full or partial hand loss retain the function and appearance of a regular hand. It has been shown that such device needs to be enhanced in the control capabilities and functional devising. Thus, a robust design is required to enhance the performance of prosthetic hand model, and also improve existing capabilities to the optimum level. The objective of this paper is to design and analyze the Fractional-order Proportional Integral (PIλ), Fractional-order Proportional Derivative (PDδ), and Fractional-order Proportional Integral Derivative (PIλDδ) controllers for the model under consideration, in order to realize accurate control with high performance. The effect of each controller on the dynamics of a closed-loop system has been discussed and analyzed. Tuning parameters for each controller has been done using Particle Swarm Optimization (PSO) algorithm via El-Khazali's approach. Different simulated comparisons reveal that the performance of PIλDδ-controller is outperform than other controllers in terms of rise time, settling time and overshoot.",

keywords = "El-Khazali's approach, Laplacian operator, particle swarm optimization algorithm, PIλ Dδ -controller, prosthetic hand model",

author = "Batiha, {Iqbal M.} and Reyad El-Khazali and Shaher Momani",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019 ; Conference date: 10-12-2019 Through 12-12-2019",

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Batiha, IM, El-Khazali, R & Momani, S 2019, Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm. in 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019., 9001835, 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019, Institute of Electrical and Electronics Engineers Inc., 19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019, Ajman, United Arab Emirates, 10/12/19. https://doi.org/10.1109/ISSPIT47144.2019.9001835

Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm. / Batiha, Iqbal M.; El-Khazali, Reyad; Momani, Shaher.
2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9001835 (2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Prosthetic hand is a device designed to help those with full or partial hand loss retain the function and appearance of a regular hand. It has been shown that such device needs to be enhanced in the control capabilities and functional devising. Thus, a robust design is required to enhance the performance of prosthetic hand model, and also improve existing capabilities to the optimum level. The objective of this paper is to design and analyze the Fractional-order Proportional Integral (PIλ), Fractional-order Proportional Derivative (PDδ), and Fractional-order Proportional Integral Derivative (PIλDδ) controllers for the model under consideration, in order to realize accurate control with high performance. The effect of each controller on the dynamics of a closed-loop system has been discussed and analyzed. Tuning parameters for each controller has been done using Particle Swarm Optimization (PSO) algorithm via El-Khazali's approach. Different simulated comparisons reveal that the performance of PIλDδ-controller is outperform than other controllers in terms of rise time, settling time and overshoot.

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Batiha IM, El-Khazali R, Momani S. Dynamic Responses of PI^λ, PD^δ, and PI^λ D^δ Controllers for Prosthetic Hand Model Using PSO Algorithm. In 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9001835. (2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019). doi: 10.1109/ISSPIT47144.2019.9001835