A New Feedback Linearization-NSGA-II based Control Design for PEM Fuel Cell

Abaspour, Alireza; Parsa, N. Tadrisi; Sadeghi, Mohammad

doi:10.5120/17044-7354

Cited by 13 publications

(14 citation statements)

References 23 publications

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“…In another approach, a quantum neural network was used to learn the space data of a Tagaki-Sugeno FLC [10]. Using optimization algorithms for tuning the membership functions have also received great attention [11][12][13][14][15]. Pratihar et.…”

Section: Introductionmentioning

confidence: 99%

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

Ghadiri¹,

Sadeghi²,

Abaspour

et al. 2016

SpaceOps 2016 Conference

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In this paper a fuzzy-quaternion controller is designed for attitude control of a satellite, then the fuzzy memberships are tuned in an intelligent way by using particle swarm optimization (PSO) algorithm. Due to the satellite nonlinear behavior, classic methodologies cannot control satellite. The simulation result show that the designed controller can accurately control the satellite attitude in severe maneuvers. To evaluate the controller robustness in presence of uncertainties, 20 percent uncertainties were considered in inertias of momentum through the simulations. The simulation results show that the optimized fuzzy logic controller (OFLC) can control the satellite in large maneuvers in desirable time. In addition, the simulation results demonstrated that the proposed design is robust against uncertainties and have quite better performance than quaternion proportional-derivative (PD) controller in satellite motion control. Nomenclature AE= Direction cosine error matrix α = Angle between primary Euler vector and its latter (angle error) ANFIS = Adaptive network based fuzzy inference system CoA = Center of area e = Euler axis FLC = Fuzzy logic controller Kdi = Derivative control gain Kpi = Proportional control gain MFs = Membership functions PD = Proportional-Derivative control PSO = Particle swarm optimization Ti = Torque θ = Principal rotation angle

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Section: Introductionmentioning

confidence: 99%

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

Ghadiri¹,

Sadeghi²,

Abaspour

et al. 2016

SpaceOps 2016 Conference

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“…Total hourly radiation on a tilted surface is given by: (13) where I b and I d are the beam and diffuse irradiations, respectively. R b is the geometric factor which is the ratio of beam radiation on a tilted surface to that on a horizontal surface at any time.…”

Section: Solar Calculationmentioning

confidence: 99%

“…Hydrogen is another suitable option because of its ability to work as a reliable fuel for almost every application, especially in transportation devices. Furthermore, hydrogen can be converted to electricity, and is able to heat more efficiently than fossil fuels [9][10][11][12][13]. Combining hydrogen fuel with other sources of energy makes the system more reliable, secure, and flexible with respect to different energy management techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

2016

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Abstract:In this study, the design and simulation of a combination of a photovoltaic (PV) array with an alkaline electrolyzer is performed to maximize the production of hydrogen as a reliable power resource. Detailed electrical model of PV system, as long as thermal and electrochemical model of electrolyzer is used. Since an electrolyzer is a non-linear load, its coupling with PV systems to get the best power transfer is very important. Solar irradiation calculations were done for the region of Miami (FL, USA), giving an optimal surface slope of 25.7˝for the PV array. The size of the PV array is optimized, considering maximum hydrogen production and minimum excess power production in a diurnal operation of a system using the imperialistic competitive algorithm (ICA). The results show that for a 10 kW alkaline electrolyzer, a PV array with a nominal power of 12.3 kW The results show that 12.3 kW photvoltaic system can be utilized for supplying a 10 kW electrolyzer. Hydrogen production and Faraday efficiency of the system are 697.21 mol and 0.3905 mol, respectively.

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“…al introduce nonlinear model of the ABS which is applicable for nonlinear control strategies such as feedback linearization control [1]. Feedback linearization control is a nonlinear control strategy which have been applied for various kind of systems [1][2][3]. Dousti et al introduced a multiple model switching design for ABS control [4].…”

Section: Introductionmentioning

confidence: 99%

Independent Model Generalized Predictive Controller Design for Antilock Braking System

HasanKhansari¹,

Yaghoobi²,

Abaspour³

2015

IJCA

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Wheel slip control is a significant research topics in the field of car stability. Model predictive control is one of the most advanced controller which has received great attention and application in industries. In this paper independent model generalize predictive control (IMGPC) is introduced for antilock braking system. This controller is implemented on a linear model of anti-lock braking system, and through the numerical simulation, it is demonstrated that it can control the system in presence of sever noise and disturbances. The simulation results show that the proposed controller has better performance in comparison with other conventional linear controllers. General TermsPredictive control, Anti-lock braking system .

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A New Feedback Linearization-NSGA-II based Control Design for PEM Fuel Cell

Cited by 13 publications

References 23 publications

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

Optimized Fuzzy-Quaternion Attitude control of Satellite in Large maneuver

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

Independent Model Generalized Predictive Controller Design for Antilock Braking System

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