Abstract
This paper proposes the application of Differential Evolution with Scale Factor Local Search to optimally design the control system of a permanent-magnet synchronous motor which is part of the UPR probe, element of the more complex PAIS system. The PAIS system is an innovative Wireless Sensor Network for the environmental monitoring whose main purpose is to reduce the wildfire damages with early detection and suppression. To operate a complete environmental monitoring, each UPR probe is usually located in wild areas and exposed to severe weather conditions, which can substantially degrade the performance of the whole system and, in particular, of the motor drive. Under such conditions, an automatic technique to periodically check and improve the performance of the motor moving the UPR is needed. Numerical results show that the Differential Evolution with Scale Factor Local Search offers excellent results in terms of convergence speed and final solution detected, serving as a perfect tool for the self-commissioning of the UPR position control.