Real-Time Implementation of Model Predictive Control Based on Sine Cosine Algorithm for a Water Level of the Three-Tank Proces

One effective optimization method for handling nonlinear and non-convex optimization problems is the sine, cosine algorithm (SCA). However, it is not possible to account for system restrictions like production and state constraints. Conversely, model predictive control, or MPC, is a powerful optimiz...

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Vydáno v:2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS) s. 1 - 6
Hlavní autoři: Adel, Taieb, Bilel, Kanzari, Abdelkader, Chaari
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 02.11.2023
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Mechatronics
Optimal control
Optimization methods
Parameter estimation
Prediction algorithms
Predictive models
Production
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Abstract One effective optimization method for handling nonlinear and non-convex optimization problems is the sine, cosine algorithm (SCA). However, it is not possible to account for system restrictions like production and state constraints. Conversely, model predictive control, or MPC, is a powerful optimization method that may yield the optimal result under certain limitations. However, this turns out to be a complicated problem for restricted nonlinear/nonconvex optimization, and is typically not suitable because of the real-time computing expense. A predictive control model for limited nonlinear systems based on TBA is presented in this work. This is a straightforward control technique that, with certain restrictions, yields optimal solutions for nonlinear systems in a reasonable period of time. Both hard and soft limitations are taken into account by the suggested strategy.
AbstractList One effective optimization method for handling nonlinear and non-convex optimization problems is the sine, cosine algorithm (SCA). However, it is not possible to account for system restrictions like production and state constraints. Conversely, model predictive control, or MPC, is a powerful optimization method that may yield the optimal result under certain limitations. However, this turns out to be a complicated problem for restricted nonlinear/nonconvex optimization, and is typically not suitable because of the real-time computing expense. A predictive control model for limited nonlinear systems based on TBA is presented in this work. This is a straightforward control technique that, with certain restrictions, yields optimal solutions for nonlinear systems in a reasonable period of time. Both hard and soft limitations are taken into account by the suggested strategy.
Author Abdelkader, Chaari
Adel, Taieb
Bilel, Kanzari
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  givenname: Kanzari
  surname: Bilel
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  organization: Laboratory of Industrial Systems and Renewable Energies Engineering,Tunis,Tunisia
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  givenname: Chaari
  surname: Abdelkader
  fullname: Abdelkader, Chaari
  email: nabile.chaari@yahoo.fr
  organization: Laboratory of Industrial Systems and Renewable Energies Engineering,Tunis,Tunisia
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Snippet One effective optimization method for handling nonlinear and non-convex optimization problems is the sine, cosine algorithm (SCA). However, it is not possible...
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formatting
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Mechatronics
Optimal control
Optimization methods
Parameter estimation
Prediction algorithms
Predictive models
Production
style
styling
Title Real-Time Implementation of Model Predictive Control Based on Sine Cosine Algorithm for a Water Level of the Three-Tank Proces
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