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Development of a GPC-based sliding mode controller.

Mercedes Pérez de la Parte1, Oscar Camacho, Eduardo F Camacho

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Summary
This summary is machine-generated.

A novel predictive sliding mode controller integrates generalized predictive control into the reaching phase for improved chemical process management. This advanced control strategy enhances performance by addressing limitations of existing methods.

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Area of Science:

  • Chemical Engineering
  • Control Systems Theory
  • Process Automation

Background:

  • Sliding mode control (SMC) offers robustness but can exhibit chattering.
  • Generalized predictive control (GPC) excels in handling constraints and optimizing performance.
  • First-order-plus-deadtime (FOPDT) models are widely applicable to chemical processes.

Purpose of the Study:

  • To introduce a novel predictive sliding mode controller (PSMC).
  • To integrate generalized predictive control (GPC) within the reaching mode of SMC.
  • To develop a controller based on the first-order-plus-deadtime (FOPDT) model for chemical processes.

Main Methods:

  • Development of a predictive sliding mode controller (PSMC).
  • Utilizing a generalized predictive controller (GPC) within the SMC reaching mode.
  • Modeling chemical processes using a first-order-plus-deadtime (FOPDT) approach.
  • Providing tuning rules for the controller's six parameters.

Main Results:

  • The proposed PSMC effectively combines SMC robustness with GPC optimization.
  • Simulation examples demonstrate the controller's capability to overcome SMC chattering and GPC limitations.
  • The controller shows promise for applications in chemical process control.

Conclusions:

  • The predictive sliding mode controller offers a superior alternative to traditional SMC and GPC.
  • The PSMC provides enhanced performance and robustness for chemical process applications.
  • The developed tuning rules facilitate practical implementation of the PSMC.