A new multiobjective performance criterion used in PID tuning optimization algorithms
In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been pr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-01-01
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| Series: | Journal of Advanced Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209012321500034X |
| _version_ | 1818021842353389568 |
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| author | Mouayad A. Sahib Bestoun S. Ahmed |
| author_facet | Mouayad A. Sahib Bestoun S. Ahmed |
| author_sort | Mouayad A. Sahib |
| collection | DOAJ |
| description | In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions include numerous weighted time and frequency domain variables. However, for an optimum desired response it is difficult to select the appropriate objective function or identify the best weight values required to optimize the PID controller design. This paper presents a new time domain performance criterion based on the multiobjective Pareto front solutions. The proposed objective function is tested in the PID controller design for an automatic voltage regulator system (AVR) application using particle swarm optimization algorithm. Simulation results show that the proposed performance criterion can highly improve the PID tuning optimization in comparison with traditional objective functions. |
| first_indexed | 2024-04-14T08:23:32Z |
| format | Article |
| id | doaj.art-ab65b4a20a644631b6b63ba9a663c4de |
| institution | Directory Open Access Journal |
| issn | 2090-1232 2090-1224 |
| language | English |
| last_indexed | 2024-04-14T08:23:32Z |
| publishDate | 2016-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Advanced Research |
| spelling | doaj.art-ab65b4a20a644631b6b63ba9a663c4de2022-12-22T02:04:09ZengElsevierJournal of Advanced Research2090-12322090-12242016-01-017112513410.1016/j.jare.2015.03.004A new multiobjective performance criterion used in PID tuning optimization algorithmsMouayad A. SahibBestoun S. AhmedIn PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions include numerous weighted time and frequency domain variables. However, for an optimum desired response it is difficult to select the appropriate objective function or identify the best weight values required to optimize the PID controller design. This paper presents a new time domain performance criterion based on the multiobjective Pareto front solutions. The proposed objective function is tested in the PID controller design for an automatic voltage regulator system (AVR) application using particle swarm optimization algorithm. Simulation results show that the proposed performance criterion can highly improve the PID tuning optimization in comparison with traditional objective functions.http://www.sciencedirect.com/science/article/pii/S209012321500034XMultiobjective optimizationPareto setPID controllerParticle Swarm Optimization (PSO)AVR system |
| spellingShingle | Mouayad A. Sahib Bestoun S. Ahmed A new multiobjective performance criterion used in PID tuning optimization algorithms Journal of Advanced Research Multiobjective optimization Pareto set PID controller Particle Swarm Optimization (PSO) AVR system |
| title | A new multiobjective performance criterion used in PID tuning optimization algorithms |
| title_full | A new multiobjective performance criterion used in PID tuning optimization algorithms |
| title_fullStr | A new multiobjective performance criterion used in PID tuning optimization algorithms |
| title_full_unstemmed | A new multiobjective performance criterion used in PID tuning optimization algorithms |
| title_short | A new multiobjective performance criterion used in PID tuning optimization algorithms |
| title_sort | new multiobjective performance criterion used in pid tuning optimization algorithms |
| topic | Multiobjective optimization Pareto set PID controller Particle Swarm Optimization (PSO) AVR system |
| url | http://www.sciencedirect.com/science/article/pii/S209012321500034X |
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