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This study presents a sensorless static model based with output current estimation method for digital PWM control dc-dc converters. The static model is a feedforward type control method adopted in coordination with the standard PID control and it can improve characteristics of wide input and output range of dc-dc converter by using information of output current. The one of the drawbacks of the static...
This paper presents simple but effective cell balancing algorithm for serially connected lithium ion batteries based on the power to energy ratio balance and relative capacity estimation. Compared to simpler balancing algorithm such as voltage based cell balancing that begins balancing after cell imbalance is detected, the proposed algorithm can predict the imbalance between cells due to capacity...
In this paper, an accurate parameter estimation model of surface permanent magnet synchronous machines (SPMSMs) is established by taking into account voltage-source-inverter (VSI) nonlinearity. A fast dynamic particle swarm optimization (DPSO) algorithm combined with a receptor editing (RE) strategy is proposed to explore the optimal values of parameter estimations. This combination provides an accelerated...
Switching models possess discontinuous and nonlinear behavior rendering difficulties in simulations in terms of time consumption, computational complexity causing mathematical instability while equally vulnerable to errors. This issue can be sorted out by averaging detailed models over entire switching period. Several static as well as dynamic average models (full order and reduced order) have been...
The problem of estimating parameters of switched affine systems with noisy input-output observations is considered. A subspace technique is proposed to exploit the observations' permutation structure, which transforms the problem of associating observations with subsystems into one of de-permutating a block diagonal matrix. Then a spectral clustering algorithm is presented to recover the block structure...
The problem of parameters identification is solved by means of the combined maximum principle. Its use allows one to decompose the original system into subsystems for each of the observed state variables. The first stage of solving the extremal problem is to solve the structural synthesis problem. Within its framework there are causal characteristics leading to the state changes. They are treated...
Modern control approaches are completely studied in standard DC-DC buck and boost converters. However, industrial switching power supplies haven't been investigated precisely using nonlinear control systems. This issue is related to more complex state-space model of these converters. In this paper, adaptive nonlinear control of isolated flyback switching power supplies is studied using Lyapunov stability...
The memristor is an emerging technology which is triggering intense interdisciplinary activity. It has the potential of providing many benefits, such as energy efficiency, density, reconfigurability, nonvolatile memory, novel computational structures and approaches, massive parallelism, etc. These characteristics may lead to deeply revise existing computing and storage paradigms. This paper presents...
In this paper, in order to decouple the design parameters of power bipolar junction transistors during their extraction, our work focuses on the study of the variation effect of the design parameters on the static and dynamic characteristics of the power BJT. Indeed, an attempt is made to assign a specific characteristic to each design parameter, which has a significant influence while taking into...
Computer simulation of stiff dynamical systems usually requires researchers and engineers to apply implicit numerical quadrature formulae. The most efficient of stiff ODE solvers use adaptive timestep technique, which reduces computational costs by varying integration step size according to the local truncation error estimation. Due to their stability, the implicit methods can handle large step sizes...
In this work, we suggest a new approach which enables the localization and the compensation of sensor fault for perturbed piecewise affine hybrid systems. In fact, we used the additive fault tolerant control to ensure the compensation of this fault. The application of this method involves two important steps. The first step, is to generate the estimated fault by using Data-based Projection Method...
A novel approach for reconfigurable control systems design against sensor and actuator faults is proposed. The scheme is based on an estimation of the state and of the fault parameters, and on a Partially Observable Markov Decision Process (POMDP), used for the decision task of the feedback controller. The following fault types are considered: locking and loss of effectiveness of the device. The modelling...
Model-based fault isolation and identification in hybrid systems is computationally expensive or even unfeasible for complex systems due to the presence of uncertainty concerning the actual state, and also due to the presence of both discrete and parametric faults coupled with changing modes in the system. In this work we improve fault isolation and identification performance for hybrid systems diagnosis...
This paper presents a junction temperature estimation model for space vector modulated IGBT inverter system for a real time implementation. Advances in power electronics, control systems, motor drives, and electrical machines helped in developing new technologies of Variable speed constant frequency (VSCF) system for more aircraft application. It is estimated that about 21% of the faults in the variable...
The control of an active power filter (APF) with LCL-filter is affected by variable inductance present in the power line of the grid. The variation of impedance will impacts the resonance frequency and system bandwidth. Therefore, the exact measurement of the grid impedance is necessary. Real-time estimation of the equivalent grid impedance by means of extended Kalman filter is addressed. The theoretical...
The main objective of this paper is to develop a novel and improved method of fault detection for a class of nonlinear hybrid plants with emphasis on identification. An approach has been presented here to evolve techniques which enable efficient fault detection and their type and range identification using a bank of self-switched Central Difference Kalman Filter which is numerically simpler than EKF...
As a scan-based testing enables higher test coverage and faster test time than alternative ways, it is widely used by most system-on-chip (SoC) designers. However, since the number of logic gates is over one hundred million gates, a number of scan cells lead to excessive power consumption and it produces a low shifting frequency during the scan shifting mode. In this paper, we present a new scan shift...
In this paper, we present a method for the optimal state estimation of a linear system, observed by various dynamically schedulable and distributed sensors. We consider this problem to be a problem of information fusion, where the information is obtained from the sensors in exchange of scheduling and sensor operational costs. Sensors over a distributed network can work together efficiently in order...
This paper introduces a new perspective of using boundary control with second-order switching surface to decouple the LCL filter into an “LC” + L structure to control the output current of a grid-connected inverter. The boundary control (inner loop) converts the switching network together with the “LC” filter into a first-order delay term. Then, the deadbeat control (outer loop) deals with the low-order...
A new ultracapacitor-battery HESS based on bidirectional Z-Source topology is proposed in previous research for better energy and space utilization. By controlling the power of UCs and machine, the steady average battery current get controlled indirectly. However, for safety consideration, the dynamic performance of proposed HESS should be considered, so small signal model based on state-space average...
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