Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm
Pneumatic servo systems face challenges such as friction, compressibility, and nonlinear dynamics, necessitating advanced control techniques. Research suggests model-based, model-free, hybrid, and optimization-based methods have their strengths. Therefore, this study presents an optimal control stra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier B.V.
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/41474/1/Pneumatic%20servo%20position%20control%20optimization%20using%20adaptive-domain.pdf |
| _version_ | 1811138431338676224 |
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| author | Addie Irawan, Hashim Mohd Herwan, Sulaiman Mohd Syakirin, Ramli Mohd Iskandar Putra, Azahar |
| author_facet | Addie Irawan, Hashim Mohd Herwan, Sulaiman Mohd Syakirin, Ramli Mohd Iskandar Putra, Azahar |
| author_sort | Addie Irawan, Hashim |
| collection | UMP |
| description | Pneumatic servo systems face challenges such as friction, compressibility, and nonlinear dynamics, necessitating advanced control techniques. Research suggests model-based, model-free, hybrid, and optimization-based methods have their strengths. Therefore, this study presents an optimal control strategy using Adaptive Domain Prescribed Performance Control (AD-PPC) cascaded with PID and optimized using the Evolutionary Mating Algorithm (EMA) for a pneumatic servo system (PSS). The goal is to achieve faster transient control and stable rod-piston positioning with minimal friction through the hysteresis phenomenon of the targeted proportional valve-controlled double-acting pneumatic cylinder (PPVDC) representing the PSS. The novel EMA optimizes the cascaded controller based on the tracking error as its objective function. Simulation studies verify the proposed AD-PPC-PID controller with the PPVDC model plant, iteratively optimized by the EMA. The analytical study compares this setup's control system and optimization model with the same control system model using alternative optimization methods. The testing employs step and multi-step signals for PPVDC's rod-piston position input. Results show that the EMA-tuned AD-PPC-PID outperforms AD-PPC-PID controller with other optimizers. For both input trajectory tests, EMA-tuned AD-PPC-PID shows faster response times, with average improvements of 30 % in settling times and 70 % in tracking performance metrics compared to other optimizers, making it robust for nonlinear system applications like PPVDC rod-piston positioning. |
| first_indexed | 2024-09-25T03:50:05Z |
| format | Article |
| id | UMPir41474 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-09-25T03:50:05Z |
| publishDate | 2024 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | UMPir414742024-06-06T02:00:53Z http://umpir.ump.edu.my/id/eprint/41474/ Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm Addie Irawan, Hashim Mohd Herwan, Sulaiman Mohd Syakirin, Ramli Mohd Iskandar Putra, Azahar TK Electrical engineering. Electronics Nuclear engineering Pneumatic servo systems face challenges such as friction, compressibility, and nonlinear dynamics, necessitating advanced control techniques. Research suggests model-based, model-free, hybrid, and optimization-based methods have their strengths. Therefore, this study presents an optimal control strategy using Adaptive Domain Prescribed Performance Control (AD-PPC) cascaded with PID and optimized using the Evolutionary Mating Algorithm (EMA) for a pneumatic servo system (PSS). The goal is to achieve faster transient control and stable rod-piston positioning with minimal friction through the hysteresis phenomenon of the targeted proportional valve-controlled double-acting pneumatic cylinder (PPVDC) representing the PSS. The novel EMA optimizes the cascaded controller based on the tracking error as its objective function. Simulation studies verify the proposed AD-PPC-PID controller with the PPVDC model plant, iteratively optimized by the EMA. The analytical study compares this setup's control system and optimization model with the same control system model using alternative optimization methods. The testing employs step and multi-step signals for PPVDC's rod-piston position input. Results show that the EMA-tuned AD-PPC-PID outperforms AD-PPC-PID controller with other optimizers. For both input trajectory tests, EMA-tuned AD-PPC-PID shows faster response times, with average improvements of 30 % in settling times and 70 % in tracking performance metrics compared to other optimizers, making it robust for nonlinear system applications like PPVDC rod-piston positioning. Elsevier B.V. 2024-06 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/41474/1/Pneumatic%20servo%20position%20control%20optimization%20using%20adaptive-domain.pdf Addie Irawan, Hashim and Mohd Herwan, Sulaiman and Mohd Syakirin, Ramli and Mohd Iskandar Putra, Azahar (2024) Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm. Results in Control and Optimization, 15 (100434). pp. 1-16. ISSN 2666-7207. (Published) https://doi.org/10.1016/j.rico.2024.100434 https://doi.org/10.1016/j.rico.2024.100434 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Addie Irawan, Hashim Mohd Herwan, Sulaiman Mohd Syakirin, Ramli Mohd Iskandar Putra, Azahar Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title | Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title_full | Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title_fullStr | Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title_full_unstemmed | Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title_short | Pneumatic servo position control optimization using adaptive-domain prescribed performance control with evolutionary mating algorithm |
| title_sort | pneumatic servo position control optimization using adaptive domain prescribed performance control with evolutionary mating algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/41474/1/Pneumatic%20servo%20position%20control%20optimization%20using%20adaptive-domain.pdf |
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