A novel particle swarm optimization based robust H-infinity control for rotorcrafts

作者：Dai, Jiyang^*; Ying, Jin; Tan, Chang

来源：Engineering Computations, 2014, 31(4): 726-741.

DOI：10.1108/EC-07-2012-0148

• Optimization
• Particle swarm optimization
• Controller design
• Robust H-infinity control
• Rotorcraft flight control

Purpose - The purpose of this paper is to present a novel optimization approach to design a robust H-infinity controller.
Design/methodology/approach - To use a modified particle swarm optimization (PSO) algorithm and to search for the optimal parameters of the weighting functions under the circumstance of the given structures of three weighting matrices in the H-infinity mixed sensitivity design.
Findings - This constrained multi-objective optimization is a non-convex, non-smooth problem which is solved by a modified PSO algorithm. An adaptive mutation-based PSO (AMBPSO) algorithm is proposed to improve the search accuracy and convergence of the standard PSO algorithm. In the AMBPSO algorithm, the inertia weights are modified as a function with the gradient descent and the velocities and positions of the particles.
Originality/value - The AMBPSO algorithm can efficiently solve such an optimization problem that a satisfactory robust H-infinity control performance can be obtained.

• 出版日期2014
• 单位南京航空航天大学; 南昌航空大学