Continuous Genetic Algorithm Aiding to Quadcopter Controller Design

Abstract

The practicability of the continuous Genetic Algorithm (GA) is exploited to optimize the Proportional Integral Derivative (PID) controller gains, in this paper. By minimize the Integral of Square Error (ISE) fitness function of the control performance, the advantages of the continuous GA, such as create and update the new and contiguous parameters, are presented. The proposed controller design is then implemented to Quadcopter models to illustrate the better performances in shortly saving operation time.