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"Disturbance rejection enhancement using predictive control for the fix" by Abdul Sattar, Liuping Wang et al.

The performance of small fixed-wing unmanned aerial vehicles (UAVs) is easily degraded by exogenous disturbances. In an attempt to improve the performance, the structural change is made in conventional small fixed-wing UAV through segmentation of each aileron control surface into multiples. Detailed system identification experiments are performed on each aileron pair in the wind tunnel to acquire linear dynamic models for the roll attitude of the UAV. These experiments have provided the transfer...
Fixed Wing Uav Model Predictive Control Egmented Control Surfaces
Source: uow.edu.au

"Model Predictive Control for Magnetic Linked Multiport Converter" by Zhipeng Qi, Md Ashib Rahman et al.

The magnetic linked multiport converter (MLMC) has high degree of control flexibility and can be operated as an effective interface for renewable energy integration to the traditional power grid and electric vehicle charging. Unlike the traditional magnetic linked dual port converters, the MLMC provides multiple ports, which share a common magnetic link. The MLMC has soft-switching ability, ensures galvanic isolation, and facilitates high-density power transmission. For the robust and effective ...
Magnetic Linked Multiport Converter Model Predictive Control Andom Load Obust Voltage Control
Source: uow.edu.au

"Dual-Objective MPC of Community Energy Storage in LV Distribution Feed" by Obaidur Ralunan, Duane A. Robinson et al.

The technical challenges of large-scale integration of rooftop solar PV systems is a major concern for distribution network service providers (DNSPs) due to bidirectional power flow and voltage regulation issues. Energy storage devices have the potential to mitigate these adverse effects by storing excess energy during the day and providing peak shaving support at peak load. This paper presents a two-level dual-objective model predictive control (MPC) based algorithm to control DNSP owned commun...
Community Energy Storage Lv Distribution Model Predictive Control Oltage Rise
Source: uow.edu.au

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"Charging RF-Energy Harvesting Devices in IoT Networks with Imperfect C" by Hang Yu, Kwan Wu Chin et al.

This paper considers energy delivery by a Hybrid Access Point (HAP) to one or more Radio Frequency (RF)-energy harvesting devices. Unlike prior works, it considers imperfect and causal Channel State Information (CSI), and probabilistic constraints that ensure devices receive their required amount of energy over a given planning horizon. To this end, it outlines two novel contributions. The first is a chance-constrained program, which is then solved using a Mixed Integer Linear Program (MILP) cou...
Integer Linear Program Hybrid Access Point Radio Frequency Channel State Information Mixed Integer Linear Program Sample Average Approximation
Source: uow.edu.au

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