Optimum Cascade Control Tuning of a Hydraulic Actuator Based on Firefly Metaheuristic Algorithm.

Autor: Cukla, Anselmo Rafael, Crespo Izquierdo, Rafael, Pires Borges, Fabio Augusto, Perondi, Eduardo Andre, Lorini, Flavio Jose
Zdroj: IEEE Latin America Transactions; Mar/Apr2018, Vol. 16 Issue 2, p384-390, 7p
Abstrakt: This work presents a strategy for the tuning of the gains of a controller applied to the tracking of the positional trajectory of a hydraulic actuator by means of the firefly metaheuristic algorithm. The applied controller uses a cascade strategy, and consists of dividing the mathematical model into two interconnected subsystems, one hydraulic and the other mechanical, applying specific control strategies to each subsystem. In order to obtain the appropriate gains for the cascade control algorithm, which require fine adjustments that are normally performed empirically, the present work uses the Firefly Metaheuristic Algorithm (FMA). In this approach, the optimization problem consists in minimizing the position trajectory tracking error, considering the gains in the proposed formulation. The simulations performed show that the results obtained after the automatic tuning of the gains are adequate and present advantages over the traditional method of gain tuning of the cascade control strategy. [ABSTRACT FROM PUBLISHER]
Databáze: Complementary Index