Design optimization of multi-objective proportional–integral–derivative controllers for enhanced handling quality of a twin-engine, propeller-driven airplane

摘要

Herein, the design optimization of multi-objective controllers for the lateral–directional motion using proportion-al–integral–derivative controllers for a twin-engine, propeller-driven airplane is presented. The design optimizationhas been accomplished using the genetic algorithm and the main goal was to enhance the handling quality of theaircraft. The proportional–integral–derivative controllers have been designed such that not only the stability of thelateral–directional motion was satisfied but also the optimum result in longitudinal trim condition was achievedthrough genetic algorithm. Using genetic algorithm optimization, the handling quality was improved and placed inlevel 1 from level 2 for the proposed aircraft. A comprehensive sensitivity analysis to different velocities, altitudesand centre of mass positions is presented. Also, the performance of the genetic algorithm has been compared tothe case where the particle swarm optimization tool is implemented. In this work, the aerodynamic coefficients aswell as the stability and control derivatives were predicted using analytical and semi-empirical methods validatedfor this type of aircraft.