A parameter tuning approach of the Sliding Mode Control for a Quadcopter based on Genetic Algorithms

In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.