A novel composite adaptive flap controller design by a high-efficient modified differential evolution identification...

Area of Science:

• Control Engineering
• Computational Intelligence
• Aerospace Engineering

Background:

• Optimal tuning of adaptive flap controllers is crucial for performance in uncertain environments.
• Current optimization processes are time-consuming and complex for flap control systems (FCS).

Purpose of the Study:

• To develop a novel adaptive flap controller for efficient and robust performance.
• To address the challenges of time-consuming optimization and complex tuning strategies in FCS.

Main Methods:

• A composite adaptive internal model control (CAIMC) strategy was employed.
• A high-efficient modified adaptive differential evolution (DE) algorithm with a new mutant operator and varying range adaptive mechanism was developed for FCS identification.
• DE identified the inverse of the FCS within the CAIMC structure for optimal tuning.

Main Results:

• The proposed controller achieved optimal tuning with reduced computation cost.
• Simulations demonstrated robustness and superiority over conventional adaptive IMC (AIMC) and other DE-based CAIMC controllers.
• High computation efficiency was verified through computation time analysis.

Conclusions:

• The novel adaptive flap controller effectively balances optimized control and low computational cost.
• The proposed method shows significant advantages in robustness and efficiency for flap control systems in uncertain conditions.