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.

Design of Position Controller for PMSM Drive in PAIS Project for Early Wildfire Detection by Means of Differential Evolution with Scale Factor Local Search / Caponio, Andrea; Neri, Ferrante; Giliberti, Giuseppe; Lorusso, Giuseppe; Cascella, Giuseppe Leonardo; Cascella, Davide. - STAMPA. - (2010), pp. 3392-3397. (Intervento presentato al convegno IEEE International Symposium on Industrial Electronics, ISIE 2010 tenutosi a Bari, Italy nel July 4-7, 2010) [10.1109/ISIE.2010.5637710].

Design of Position Controller for PMSM Drive in PAIS Project for Early Wildfire Detection by Means of Differential Evolution with Scale Factor Local Search

Andrea Caponio
;
Ferrante Neri
;
Giuseppe Leonardo Cascella
;
Davide Cascella
2010-01-01

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.
2010
IEEE International Symposium on Industrial Electronics, ISIE 2010
978-1-4244-6390-9
Design of Position Controller for PMSM Drive in PAIS Project for Early Wildfire Detection by Means of Differential Evolution with Scale Factor Local Search / Caponio, Andrea; Neri, Ferrante; Giliberti, Giuseppe; Lorusso, Giuseppe; Cascella, Giuseppe Leonardo; Cascella, Davide. - STAMPA. - (2010), pp. 3392-3397. (Intervento presentato al convegno IEEE International Symposium on Industrial Electronics, ISIE 2010 tenutosi a Bari, Italy nel July 4-7, 2010) [10.1109/ISIE.2010.5637710].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/203062
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