Performance analysis of the tracking of the global extreme on multimodal patterns using the Asymptotic Perturbed Extremum Seeking Control scheme

Bizon, Nicu; Kurt, Erol

doi:10.1016/j.ijhydene.2016.11.173

Cited by 38 publications

(23 citation statements)

References 34 publications

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“…The tracking method based on the extremum seeking control proposed in [45], which was tested in [45,47] for tracking the global extremes, may be used for the aircraft trajectory tracking considering the advantage of adaptive tracking loop.…”

Section: Resultsmentioning

confidence: 99%

“…This increases as the aircraft is more maneuverable. Due to the flight angle and the ability to make sudden changes of direction, these aircraft are much more difficult to detect in the conditions in which they perform maneuvers [45][46][47]. It should be noted that the probability of losing a target over the course of several successive scans is actually quite high.…”

Section: Resultsmentioning

confidence: 99%

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Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

2020

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Radio-electronic means, including equipment for transmissions, radio-location, broadcasting, and navigation, allow the execution of various research missions and combat forces management. Determining the target coordinates and directing the armament towards them, obtaining and processing data about enemies, ensuring the navigation of ships, planes and outer atmospheric means, transmitting orders, decisions, reports and other necessary information for the armed forces; these are only some of the possibilities of radio-electronic technology. Fuzzy logic allows the linguistic description of the laws of command, operation and control of a system. When working with complex and nonlinear systems, it can often be observed that, as their complexity increases, there is a decrease in the significance of the details in describing the global behavior of the system. Even though such an approach may seem inadequate, it is often superior and less laborious than a rigorous mathematical approach. The main argument in favor of fuzzy set theory is to excel in operating with imprecise, vague notions. This article demonstrates the superiority of a fuzzy tracking system over the standard Kalman filter tracking system under the conditions of uneven accelerations and sudden change of direction of the targets, as well as in the case of failure to observe the target during successive scans. A cascading Kalman filtering algorithm was used to solve the speed ambiguity and to reduce the measurement error in real-time radar processing. The cascade filters are extended Kalman filters with controlled gain using fuzzy logic for tracking targets using radar equipment under difficult tracking conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

2020

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“…The Extremum Seeking Control (ESC) scheme used here to find the MEP (maximum of the FC net power or of the fuel economy optimization function f (v 1 , v 2 ) = k net P FCnet + k f uel Fuel e f f ) is that proposed in [52] due to its performance (the GES feature) and simple implementation (see GES control block in Figure 1 and the ESC diagram in Figure 5). The reader interested to find more information about the ESC design is redirected to [59,60], where numerous design examples are presented and the ESC performance is fully evaluated. Furthermore, the power ripple on the DC bus is modeled by the different levels of the first three harmonics resulting due to normal operation of the inverter.…”

Section: The Extremum Seeking Controlmentioning

confidence: 99%

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Bizon

Thounthong

2020

Mathematics

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Two Hybrid Power System (HPS) topologies are proposed in this paper based on the Renewable Energy Sources (RESs) and a Fuel Cell (FC) system-based backup energy source. Photovoltaic arrays and wind turbines are modeled as RESs power flow. Hydrogen and air needed for FC stack to generate the power requested by the load are achieved through the Load-Following control loop. This control loop will regulate the fueling flow rate to load level. A real-time optimization strategy for RES/FC HPS based on Extremum Seeking Control will find the Maximum Efficiency Point or best fuel economy point by control of the boost converter. Therefore, two HPS configurations and associated strategies based on Load-Following and optimization loops of the fueling regulators were studied here and compared using the following performance indicators: the FC net power generated on the DC bus, the FC energy efficiency, the fuel consumption efficiency, and the total fuel consumption. An increase in the FC system’s electrical efficiency and fuel economy of up to 2% and 12% respectively has been obtained using the proposed optimization strategies compared with a baseline strategy.

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“…The GES control has been implemented based on [20]. The interested reader, in the design of the GES control, can find design examples in [63,64]. In this study, the following values are used for the GES parameters:…”

Section: The Energy Management Unit Of the Fuel Cell Hybrid Power Systemmentioning

confidence: 99%

Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

2019

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In this paper, a systematic analysis of seven control topologies is performed, based on three possible control variables of the power generated by the Fuel Cell (FC) system: the reference input of the controller for the FC boost converter, and the two reference inputs used by the air regulator and the fuel regulator. The FC system will generate power based on the Required-Power-Following (RPF) control mode in order to ensure the load demand, operating as the main energy source in an FC hybrid power system. The FC system will operate as a backup energy source in an FC renewable Hybrid Power System (by ensuring the lack of power on the DC bus, which is given by the load power minus the renewable power). Thus, power requested from the batteries’ stack will be almost zero during operation of the FC hybrid power system based on RPF-control mode. If the FC hybrid power system operates with a variable load demand, then the lack or excess of power on the DC bus will be dynamically ensured by the hybrid battery/ultracapacitor energy storage system for a safe transition of the FC system under the RPF-control mode. The RPF-control mode will ensure a fair comparison of the seven control topologies based on the same optimization function to improve the fuel savings. The main objective of this paper is to compare the fuel economy obtained by using each strategy under different load cycles in order to identify which is the best strategy operating across entire loading or the best switching strategy using two strategies: one strategy for high load and the other on the rest of the load range. Based on the preliminary results, the fuel consumption using these best strategies can be reduced by more than 15%, compared to commercial strategies.

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Performance analysis of the tracking of the global extreme on multimodal patterns using the Asymptotic Perturbed Extremum Seeking Control scheme

Cited by 38 publications

References 34 publications

Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

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