Compared with battery Equivalent Circuit Models (ECM), Single Particle Model (SPM) has more appropriate physics representation and higher accuracy theoretically. However, SPM-based parameter estimation performance is restricted by the SPM model complexities. In this paper, a simplified its corresponding adaptive State of Charge (SOC)/State Health (SOH) scheme are studied. First, from Partial Differential Equation (PDE) to Ordinary (ODE) for trade-off between complexity consistency. Second,...

DC-DC power converters such as buck are susceptible to degradation and failure due operating under conditions of electrical stress variable sources in conversion applications, electric vehicles renewable energy. Some key components electrolytic capacitors degrade over time evaporation the electrolyte. In this paper, a model-observer based scheme is proposed monitor states Buck estimate their component parameters, capacitance inductance. First, diagnosis observer proposed, generated residual...

Abstract A systematic fault tolerant control (FTC) scheme based on estimation for a quadrotor actuator, which integrates normal control, active and passive FTC parking is proposed in this paper. Firstly, an adaptive Thau observer (ATO) presented to estimate the rotor magnitudes, then faults with different magnitudes time-varying natures are rated into corresponding severity levels pre-defined fault-tolerant boundaries. Secondly, strategy can coordinate various methods designed compensate...

Being reliant on Air Conditioning (AC) throughout the majority of year, desert countries with extremely hot weather conditions such as Qatar are facing challenges in lowering weariness cost due to AC On-Off switching while maintaining an adequate level comfort under a wide-range ambient temperature variations. To address these challenges, this paper investigates optimal control strategy improve utilization process. overcome complexities online optimization, Elman Neural Networks (NN)-based...

The starter generator, characterized by controllable starting torque and disturbance in generator load torque, poses challenges for the multi-electric aero engine control. key to addressing this issue lies control with collaboration of a generator. Firstly, model is established, comprising full-state turbofan enhance low-speed simulation capability an external characteristic improve real-time capability. Subsequently, methods coordination are proposed three processes, including process,...

The characteristics of aeroengine components at sub-idle conditions are difficult to obtain directly through experiments and must be extrapolated from the above idle. However, existing extrapolation methods face issues such as incomplete utilization available data, infeasibility under limited inability completely cap-ture unique operating modes components. To address these challenges, this pa-per proposes an method for component aeroen-gines based on curve surface fitting. In consideration...

A novel gray-box neural network model (GBNNM), including multi-layer perception (MLP) (NN) and integrators, is proposed for a identification fault estimation (MIFE) scheme. With the GBNNM, both nonlinearity dynamics of class nonlinear dynamic systems can be approximated. Unlike previous NN-based methods, GBNNM directly inherits system separately models nonlinearities. This corresponds well with object easy to build. The embedded online as normal reference obtain quantitative residual between...

Abstract Gird-connected Photo-Voltaic (PV) systems rated as 5-10 kW level have advantages of scalability and energy-saving, so they are very typical for small-scale household solar applications. In this paper, an 8 three-phase grid-connected PV system model is proposed studied. high-fidelity model, some basic components such panels, DC-DC converters, DC-AC inverters utility grids mathematically modelled organized a complete simulation model. Also, overall power controller with Maximum Power...

This paper proposed an Engineering Implementation scheme on fault diagnosis for a real quadrotor Unmanned Aerial Vehicle (UAV) with actuators fault. A novel nonlinear observer is utilized to estimate the state of system and generate offset residuals diagnosis. The Fault Diagnosis (FD) rules based are designed isolate faults. Unlike former research work in FD quadtrotors, flying data but not model simulation still have acceptable accuracy. Experiments rotor been carried out show performance...

As a result of modeling uncertainties, data decade unbalanceand noise, Fault Estimation (FE) for real quadrotor is rough with low accuracy when model observer based FE scheme-Adaptive Thau Observer(ATO) applied. Based on these issues, this paper proposes comprehensive optimization approach using ATO. First, the ATO improved by adding unmolded terms parameters derived from identification. Secondly, adjustment amplifying and reducing introduced to overcome unbalance. Thirdly, Infinite Impulse...

As a new alternative to tilting rotors or turbojet vector mechanical oriented nozzles, ACHEON (Aerial Coanda High Efficiency Orienting-jet Nozzle) has enormous advantages because it is free of moving elements and highly effective for vertical/short-take-off landing (V/STOL) aircraft. In this article, an integrated flight/thrust vectoring (TV) control scheme jet-powered unmanned aerial vehicle (UAV) with nozzle proposed assess its suitability in jet aircraft flight applications. First,...

Fault Estimation (FE), as the central part of an Active Tolerant Control System (AFTCS), detects and estimates magnitude a fault when fault/failure occurs. Especially for quadrotor UAV (Unmanned Aerial Vehicle) system, it is necessary helpful to estimate severity its actuator has partial loss effectiveness (LOE) time-varying fault. In this paper, novel Adaptive Thau Observer (ATO) proposed detect Partial Loss actuators. Unlike earlier Diagnosis (FD) methods in quadrotors, The FD scheme based...

The observing failure and feedback instability might happen when the partial sensors of a satellite attitude control system (SACS) go wrong. A fault diagnosis isolation (FDI) method based on observer is introduced to detect isolate sensor at first. Based FDI result, object state-space equation transformed divided into correspon-sive triangular canonical form decouple normal subsystem from subsystem. And then KX fault-tolerant observers in different modes are designed embedded online...

This paper proposed a novel composite Fault Tolerant Control (FTC) approach based on fault estimation for quadrotor actuator fault. Firstly, an Adaptive Thau Observer is used to estimate the magnitudes, and then faults with different time-varying natures are classified into corresponding severity levels predefined fault-tolerant bounds. Secondly, FTC strategy including passive active designed compensate levels. Unlike former single FTC, our can in way of Condition-Based Maintenance (CBM)...

This paper presents a Model Identification scheme for class of nonlinear dynamic systems. A novel Grey-Box Neural Network (GBNNM), including Multi-Layer Perception (MLP) (NN) and integrators, is proposed to approximate both the nonlinearity dynamics object system. self-defined exciting strategy introduced into NN training improve its generalization ability. Unlike previous based model identification methods, GBNNM directly inherits system models nonlinearities separately. accords well with...

This paper proposes an online fault detecting and isolating (FDI) scheme of satellite attitude control system (SACS) based on Wavelet Dynamic Recurrent Neural Network (DRNN) which is capable processing time-varying signals in real time. First, a novel improved wavelet method proposed to detect faults; then, DRNN designed for (FI) the relevant decision module as well. The trained by corresponding target FDI result data set sampled from actuator sensor outputs. Unlike many previous...

as a basis for Battery SOC estimation and grid integration numerical analysis, Equivalent Circuit Model (ECM) based on RC circuit topology is one of the most widely-used battery models. In ECM model, model parameters such internal resistance, capacitance, resistance are physically time-variant depend temperature. However, trade-off gap between complexities computation simplification, usually considered constant or be piece-wisely constant. this paper, we proposed an Adaptive Thau...

Abstract Air conditioning (AC) is crucial for comfortable living in countries with challenging desert climates like Qatar. In the face of such harsh conditions, cooling applications account up to 70% energy consumption residential buildings. Given high-energy demand and region's abundant solar resources, rooftop photovoltaics (PVs) can offer an ideal sustainable solution, as peak supply closely aligns electricity demand. This study aims enhance feasibility, effectiveness, system design ACs...

An optimal on-off Air-Conditioner (AC) control scheme, which is proposed to address variable outdoor temperatures under extremely hot weather and desert climate conditions, studied in this paper. The controller adaptively regulates indoor temperature against outdoors ambient variations based on optimum values generated by an offline multiple-objective optimization tool. tool uses a cost function for minimum calculation accounts both Coefficient of Performance (COP) AC compressor weariness...

Maximum power point tracking (MPPT) for photovoltaic (PV) arrays is essential to optimize conversion efficiency under variable and nonuniform irradiance conditions. Unfortunately, conventional MPPT algorithms such as perturb observe (P&O), incremental conductance, current sweep method need iterate command or voltage frequently operate converters with associated losses. Under partial overcast conditions, the real MPP in multipeak P-I P-V curve model becomes highly challenging, increase...

As an important component of a dynamics system,the actuator is generally nonlinear and its output immeasurable.It challenging problem for diagnosing estimating process fault parameters actuator.Aimed at this problem,a joint observer method proposed to observe control system actuator.A novel adaptive observer(NAO) first estimate the with diagnosis fault.The input then feed extended state observer(ESO) parameters.Finally,the FD scheme applied high-fidelity Reaction Wheel(RW) in Satellite...