Robust Control of Aeronautical Electrical Generators for Energy Management Applications

Abstract

A new strategy for the control of aeronautical electrical generators via sliding manifold selection is proposed, with an associated innovative intelligent energy management strategy used for efficient power transfer between two sources providing energy to aeronautical loads, having different functionalities and priorities. Electric generators used for aeronautical application involve several machines, including a main generator and an exciter. Standard regulators (PI or PID-like) are normally used for the rectification of the generator voltage to be used to supply a high-voltage DC bus. The regulation is obtained by acting on a DC/DC converter that imposes the field voltage of the exciter. In this paper, the field voltage is fed to the generator windings by using a second-order sliding mode controller, resulting into a stable, robust (against disturbances) action and a fast convergence to the desired reference. By using this strategy, an energy management strategy is proposed that dynamically changes the voltage set point, in order to intelligently transfer power between two voltage busses. Detailed simulation results are provided in order to show the effectiveness of the proposed energy management strategy in different scenarios.

ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration

“…The aforementioned formulation implicitly covers two main aspects. First, through the max(•) and min(•) operators, it ensures the enforcement of constraint ( 13) and proper actuation of the set point P E (t) in the presence of low/high SOC conditions as defined through (14). Moreover, in the presence of an over/under voltage condition, we have Λ E (t) = 0, and the variable P E (t) would be constrained to be 0.…”

“…According to the literature, energy management schemes mainly involve the efficient management of energy storage devices [6][7][8][9][10][11] and the management of loads, including priority-based load shedding [2,12,13]. Furthermore, the idea of extending the energy storage and load management techniques to eliminate the overload capabilities of a generator has been considered by researchers and engineers due to its obvious operational and environmental benefits and the inclusion techniques to manage overload through generators [14], batteries [6], supercapacitors, and power distribution to loads [14]. However, energy management strategies involving the elimination of the overload capability of generators has not been fully exploited in the literature.…”

A Novel Fuzzy PI Control Method for Variable Frequency Brushless Synchronous Generators

“…Therefore, with the development of digital circuits, generator controllers have also been implemented based on digital circuits [11,12]. Due to digital controllers such as digital signal processors (DSP), it is possible to apply various new control algorithms for generator controllers [13][14][15][16][17][18]. In [17], a modified model reference adaptive system (MRAS) method for the speed sensorless control of an interior permanent magnet synchronous motor (IPMSM) was represented.…”

Fuzzy scheduling of robust controllers for islanded DC microgrids applications

“…However, the fast technological development in power electronics, and the increasing number of DC loads in several fields (e.g. automotive [18], marine, avionics [19][20][21][22]), recently moved the interest to DC microgrids [23]. More precisely, several aspects, in terms of efficiency, encourage the use of DC-based power systems: i) RESs and fuel cells generate DC electricity, ii) only the active power needs to be controlled, iii) the notorious skin effect is avoided, iv) power lossy DC-AC and AC-DC conversion stages are reduced [24,25].…”