Giacomo Canciello

Dr. Giacomo Canciello


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2017 in Automatica
Verified
Journal Article
Closed access
ACAlberto Cavallo
Alberto Cavallo
GCGiacomo Canciello
Giacomo Canciello
BGBeniamino Guida
Beniamino Guida

22 May 2017 in International Journal of Robust and Nonlinear Control
Verified
Journal Article
Closed access
PDF file
ACAlberto Cavallo
Alberto Cavallo
GCGiacomo Canciello
Giacomo Canciello
BGBeniamino Guida
Beniamino Guida

1 December 2020 in ISA Transactions
Verified
Journal Article
Closed access
GCGiacomo Canciello
Giacomo Canciello
ACAlberto Cavallo
Alberto Cavallo
ASAlessandro Lo Schiavo
Alessandro Lo Schiavo
Antonio RussoAntonio Russo
Antonio Russo

1 January 2017 in Automatica
Verified
Journal Article
Closed access
GCGiacomo Canciello
Giacomo Canciello
ACAlberto Cavallo
Alberto Cavallo

20 November 2018 in Energies
Verified
Journal Article
Open access
PDF file
ACAlberto Cavallo
Alberto Cavallo
GCGiacomo Canciello
Giacomo Canciello
BGBeniamino Guida
Beniamino Guida
PKPonggorn Kulsangcharoen
Ponggorn Kulsangcharoen
SYSeang Shen Yeoh
Seang Shen Yeoh
SBSerhiy Bozhko
Serhiy Bozhko
In this paper, an intelligent control strategy for DC/DC converters is proposed. The converter connects two DC busses, a high-voltage and a low-voltage bus. The control scheme is composed by a two-layer architecture, a low-level control based on the concept of sliding manifold, and high gain control, and a high-level control used to guarantee the achievement of various objectives. The proposed control strategies are based on solid mathematical arguments, with stability proofs for the non-linear case, and decision trees for parameter selection. The paper results are analyzed and discussed by using simulation at different detail levels in MATLAB/Stateflow/PowerSystem, and validated by experimental results, also considering MIL standard performance indices.

19 July 2017 in Journal of Control Science and Engineering
Verified
Journal Article
Open access
PDF file
GCGiacomo Canciello
Giacomo Canciello
ACAlberto Cavallo
Alberto Cavallo
BGB. Guida
B. Guida
Future aircraft will make more and more use of automated electric power system management onboard. Different solutions are currently being explored, and in particular the use of a supercapacitor as an intelligent energy storage device is addressed in this paper. The main task of the supercapacitor is to protect the electric generator from abrupt power changes resulting from sudden insertion or disconnection of loads or from loads with regenerative power capabilities, like electromagnetic actuators. A controller based on high-gain concepts is designed to drive a DC/DC converter connecting the supercapacitor to the main electric bus. Formal stability proofs are given for the resulting nonlinear system, and strong robustness results from the use of high-gain and variable structure control implementation. Moreover, detailed simulations including switching devices and electrical parasitic elements are provided for different working scenarios, showing the effectiveness of the proposed solution.