Tuning of a SNF tracking controller using genetic algorithms

This work proposes the use of Genetic Algorithms for the tuning procedure of a sector-nonlinear-function-based controller applied to first-order dynamical systems. Specifically, the constructed controller under study is based on a hyperbolic sine function, and the tracking velocity task is addressed. The goal is to optimize the search of the controller’s gains, such that they guarantee tracking of the reference given a predefined settling time. Simulation results are provided to demonstrate the effectiveness of the gain selection method.