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Model Predictive Control (MPC) has progressed over time to become one of the most capable controllers for complex non-linear multi-input multi-output (MIMO) systems whose outputs are highly coupled. Though considered to be robust, there are certain instances when individual MPC controllers may find it difficult to give a satisfactory performance. Such a situation occurs in the dual-rotor aerodynamic model during pitch angle tracking. It is caused by the strong coupling effect in its outputs. In this paper, a controller is developed for the dual-rotor aerodynamic model that explores the versatility of gain scheduling when combined with MPC. The performance of the controller is analysed through simulations.

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Analysis of Gain Scheduled Model Predictive Controller for Dual Rotor Aerodynamic Model

  • 会议论文

  • 发表日期：

    2025年

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  • Sharon Palliyadimuriyil Simon,
  • Lillie Dewan

摘要

Model Predictive Control (MPC) has progressed over time to become one of the most capable controllers for complex non-linear multi-input multi-output (MIMO) systems whose outputs are highly coupled. Though considered to be robust, there are certain instances when individual MPC controllers may find it difficult to give a satisfactory performance. Such a situation occurs in the dual-rotor aerodynamic model during pitch angle tracking. It is caused by the strong coupling effect in its outputs. In this paper, a controller is developed for the dual-rotor aerodynamic model that explores the versatility of gain scheduling when combined with MPC. The performance of the controller is analysed through simulations.