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Related Experiment Videos

Properties of extended predictive control.

R Dubay1, M Abu-Ayyad

  • 1Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB, E3B 5A3, Canada. dubayr@unb.ca

ISA Transactions
|January 20, 2007
PubMed
Summary
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This study introduces extended predictive control (EPC), a novel tuning strategy for model predictive control systems. EPC ensures stability by assuming an infinite horizon, offering improved performance when applied to generalized predictive control.

Area of Science:

  • Control Engineering
  • Systems Theory

Background:

  • Model predictive control (MPC) relies on various tuning strategies.
  • Existing methods depend on system matrix conditionality and cost function selection.

Purpose of the Study:

  • Investigate the properties of a new predictive controller: extended predictive control (EPC).
  • Understand the unique tuning strategy inherent to EPC.
  • Ensure system stability through an infinite horizon assumption.

Main Methods:

  • Derived EPC properties using a second-order plant model.
  • The plant model incorporated significant dead time.
  • The approach is applicable to all open-loop stable systems.

Main Results:

Related Experiment Videos

  • Characterized the fundamental properties of EPC.
  • Demonstrated the applicability of EPC to stable systems.
  • Validated the EPC tuning strategy on generalized predictive control.

    • Conclusions:

    • EPC offers a unique and effective tuning strategy for predictive control.
    • The infinite horizon assumption in EPC is crucial for guaranteeing stability.
    • EPC shows promise for enhancing generalized predictive control performance.