Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages
Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a pre...
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my.utm.918472021-07-28T08:48:11Z http://eprints.utm.my/id/eprint/91847/ Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages Nafea, M. Mohamed, Z. Ali, M. S. M. Mehranzamir, K. Rehman, T. TK Electrical engineering. Electronics Nuclear engineering Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a precise positioning tracking of a piezoelectric micropositioning system. Bouc-Wen nonlinear hysteresis model is utilized to denote the hysteresis nonlinear phenomenon of the piezo-actuated system. A hysteresis observer-based feedforward controller is designed based on Luenberger observer. This feedforward controller is then coupled with a particle swarm optimization (PSO)-based proportional-integral-derivative (PID) feedback controller to form a hybrid controller. A new fitness function is used to compute the optimal PID gains. This fitness function is intended to reduce the overshoot, steady-state error, and the rise and settling times. The findings of this work indicate that using the developed controller structure can significantly decrease the hysteresis effect. In addition, the proposed structure shows the ability to reduce the error is to 0.046% of the maximum displacement range. Such performance demonstrates that the proposed hybrid control structure is efficient for precise micropositioning applications.Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a precise positioning tracking of a piezoelectric micropositioning system. Bouc-Wen nonlinear hysteresis model is utilized to denote the hysteresis nonlinear phenomenon of the piezo-actuated system. A hysteresis observer-based feedforward controller is designed based on Luenberger observer. This feedforward controller is then coupled with a particle swarm optimization (PSO)-based proportional-integral-derivative (PID) feedback controller to form a hybrid controller. A new fitness function is used to compute the optimal PID gains. This fitness function is intended to reduce the overshoot, steady-state error, and the rise and settling times. The findings of this work indicate that using the developed controller structure can significantly decrease the hysteresis effect. In addition, the proposed structure shows the ability to reduce the error is to 0.046% of the maximum displacement range. Such performance demonstrates that the proposed hybrid control structure is efficient for precise micropositioning applications. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91847/1/ZaharuddinMohamed2019_HybridPsoTunedPidandHysteresis.pdf Nafea, M. and Mohamed, Z. and Ali, M. S. M. and Mehranzamir, K. and Rehman, T. (2019) Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages. In: 6th IEEE International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2019, Kuala Lumpur, Malaysia. http://www.dx.doi.org/10.1109/ICSIMA47653.2019.9057338 2019 |
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TK Electrical engineering. Electronics Nuclear engineering Nafea, M. Mohamed, Z. Ali, M. S. M. Mehranzamir, K. Rehman, T. Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
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Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a precise positioning tracking of a piezoelectric micropositioning system. Bouc-Wen nonlinear hysteresis model is utilized to denote the hysteresis nonlinear phenomenon of the piezo-actuated system. A hysteresis observer-based feedforward controller is designed based on Luenberger observer. This feedforward controller is then coupled with a particle swarm optimization (PSO)-based proportional-integral-derivative (PID) feedback controller to form a hybrid controller. A new fitness function is used to compute the optimal PID gains. This fitness function is intended to reduce the overshoot, steady-state error, and the rise and settling times. The findings of this work indicate that using the developed controller structure can significantly decrease the hysteresis effect. In addition, the proposed structure shows the ability to reduce the error is to 0.046% of the maximum displacement range. Such performance demonstrates that the proposed hybrid control structure is efficient for precise micropositioning applications.Piezo-actuated micropositioning stages consist of a piezoelectric actuator that operates a positioning system. Hysteresis nonlinearity is one of the significant variables limiting the positioning precision of these stages. This paper introduces a technique of developing a hybrid controller for a precise positioning tracking of a piezoelectric micropositioning system. Bouc-Wen nonlinear hysteresis model is utilized to denote the hysteresis nonlinear phenomenon of the piezo-actuated system. A hysteresis observer-based feedforward controller is designed based on Luenberger observer. This feedforward controller is then coupled with a particle swarm optimization (PSO)-based proportional-integral-derivative (PID) feedback controller to form a hybrid controller. A new fitness function is used to compute the optimal PID gains. This fitness function is intended to reduce the overshoot, steady-state error, and the rise and settling times. The findings of this work indicate that using the developed controller structure can significantly decrease the hysteresis effect. In addition, the proposed structure shows the ability to reduce the error is to 0.046% of the maximum displacement range. Such performance demonstrates that the proposed hybrid control structure is efficient for precise micropositioning applications. |
format |
Conference or Workshop Item |
author |
Nafea, M. Mohamed, Z. Ali, M. S. M. Mehranzamir, K. Rehman, T. |
author_facet |
Nafea, M. Mohamed, Z. Ali, M. S. M. Mehranzamir, K. Rehman, T. |
author_sort |
Nafea, M. |
title |
Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
title_short |
Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
title_full |
Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
title_fullStr |
Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
title_full_unstemmed |
Hybrid PSO-tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages |
title_sort |
hybrid pso-tuned pid and hysteresis-observer based control for piezoelectric micropositioning stages |
publishDate |
2019 |
url |
http://eprints.utm.my/id/eprint/91847/1/ZaharuddinMohamed2019_HybridPsoTunedPidandHysteresis.pdf http://eprints.utm.my/id/eprint/91847/ http://www.dx.doi.org/10.1109/ICSIMA47653.2019.9057338 2019 |
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1706957002503094272 |
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13.160551 |