Optimized PID tuning for the automatic control of neuromuscular blockade

© 2018 In this paper we propose a PID-based control scheme for the automatic regulation of the neuromuscular blockade level during surgery. In particular, we introduce an optimized tuning of the PID controller parameters based on a standard set of patient models presented in literature. The tuning p...

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Main Authors: Merigo, L., Padula, Fabrizio, Latronico, N., Mendonça, T., Paltenghi, M., Rocha, P., Visioli, A.
Format: Journal Article
Published: 2018
Online Access:http://purl.org/au-research/grants/arc/DP160104994
http://hdl.handle.net/20.500.11937/69932
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author Merigo, L.
Padula, Fabrizio
Latronico, N.
Mendonça, T.
Paltenghi, M.
Rocha, P.
Visioli, A.
author_facet Merigo, L.
Padula, Fabrizio
Latronico, N.
Mendonça, T.
Paltenghi, M.
Rocha, P.
Visioli, A.
author_sort Merigo, L.
building Curtin Institutional Repository
collection Online Access
description © 2018 In this paper we propose a PID-based control scheme for the automatic regulation of the neuromuscular blockade level during surgery. In particular, we introduce an optimized tuning of the PID controller parameters based on a standard set of patient models presented in literature. The tuning procedure is based on the solution of a min-max multiobjective optimization problem that takes into account the control performance, the control effort and the robustness. A genetic algorithm is used to solve the optimization problem and to find the optimal tuning. Then, in order to evaluate the control systems robustness, the optimal PID controller is tested in simulation on a database of patient models estimated from real data. The obtained results demonstrate that the performance achieved by considering an optimized PID tuning satisfies the clinical specifications and is robust to the inter-patient variability.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:43:19Z
publishDate 2018
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spelling curtin-20.500.11937-699322022-10-27T06:35:00Z Optimized PID tuning for the automatic control of neuromuscular blockade Merigo, L. Padula, Fabrizio Latronico, N. Mendonça, T. Paltenghi, M. Rocha, P. Visioli, A. © 2018 In this paper we propose a PID-based control scheme for the automatic regulation of the neuromuscular blockade level during surgery. In particular, we introduce an optimized tuning of the PID controller parameters based on a standard set of patient models presented in literature. The tuning procedure is based on the solution of a min-max multiobjective optimization problem that takes into account the control performance, the control effort and the robustness. A genetic algorithm is used to solve the optimization problem and to find the optimal tuning. Then, in order to evaluate the control systems robustness, the optimal PID controller is tested in simulation on a database of patient models estimated from real data. The obtained results demonstrate that the performance achieved by considering an optimized PID tuning satisfies the clinical specifications and is robust to the inter-patient variability. 2018 Journal Article http://hdl.handle.net/20.500.11937/69932 10.1016/j.ifacol.2018.06.032 http://purl.org/au-research/grants/arc/DP160104994 restricted
spellingShingle Merigo, L.
Padula, Fabrizio
Latronico, N.
Mendonça, T.
Paltenghi, M.
Rocha, P.
Visioli, A.
Optimized PID tuning for the automatic control of neuromuscular blockade
title Optimized PID tuning for the automatic control of neuromuscular blockade
title_full Optimized PID tuning for the automatic control of neuromuscular blockade
title_fullStr Optimized PID tuning for the automatic control of neuromuscular blockade
title_full_unstemmed Optimized PID tuning for the automatic control of neuromuscular blockade
title_short Optimized PID tuning for the automatic control of neuromuscular blockade
title_sort optimized pid tuning for the automatic control of neuromuscular blockade
url http://purl.org/au-research/grants/arc/DP160104994
http://hdl.handle.net/20.500.11937/69932