This paper proposes a new constant-frequency space-vector hysteresis current control (CF-SVHCC) technique for three-level neutral-point diode-clamped (TL-NPC) inverters in shunt active power filter applications when applied to three-phase isolated neutral point (INP) systems. The proposed techniques is developed based on two recognized modulation methods, space-vector pulsewidth...

Electrical distribution system reconfiguration is frequently addressed as a multi-objective problem, typically taking into account the system losses together with other objectives, among which reliability indicators are widely used. In the multi-objective context, Pareto front analysis enables the operator handling conflicting and even non-commensurable objectives without needing...

The article proposes a method for nonlinear control of the dynamical system that is formed by a DC–DC converter and a DC motor, making use of differential flatness theory. First it is proven that the aforementioned system is differentially flat which means that all its state vector elements and its control inputs can be expressed as differential functions of primary state...

Controller design for autonomous 4-wheeled ground vehicles is performed with differential flatness theory. Using a 3-DOF nonlinear model of the vehicle’s dynamics and through the application of differential flatness theory an equivalent model in linear canonical (Brunovksy) form is obtained. For the latter model a state feedback controller is developed that enables accurate...

Home energy management (HEM) systems are getting increasingly popular in both academic and commercial communities. Most HEM solutions rely on either smart appliances or plugging traditional appliances into smart outlet/smart plugs which can communicate with the central HEM server. Conventional non-communicating power-intensive loads that are directly hard-wired to the supply...

The use of efficient embedded control systems in the transportation industry and particularly in turbocharged Diesel engines requires the programming of elaborated nonlinear control and filtering methods. To this end, in this paper nonlinear control for turbocharged Diesel engines is developed with the use of Differential flatness theory and adaptive fuzzy control. It is shown...

The paper proposes a solution to the problem of control of nonlinear chaotic dynamical systems, which is based on differential flatness theory and on adaptive fuzzy control. An adaptive fuzzy controller is designed for chaotic dynamical systems, under the constraint that the system’s model is unknown. The control algorithm aims at satisfying the \(H_\infty \) tracking performance...

A probabilistic battery design method is discussed in the paper, with reference to lithium-ion batteries, based upon battery lifetime and related economical aspects. The method takes into account the dependence of battery lifetime on different parameters, such as design maximum specific power and operating environment. The methods relies on a large set of experimental...

In the present work, faults in induction motors (IM) have been diagnosed by multiclass support vector machine (SVM) algorithms based on time domain vibration signals. The main focus is to classify mechanical faults of induction motors, i.e. the bearing fault, unbalanced rotor, bowed rotor and rotor misalignment at different rotational speeds and diverse loading conditions. In...

The Fokker–Planck PDE describes the dynamics of several biochemical and biological processes, as well as of phenomena at molecular scale. In this paper, the problem of feedback control of the Fokker–Planck PDE is studied. It is shown that the procedure for numerical solution of Fokker–Planck PDE results into a set of nonlinear ordinary differential equations (ODEs) and an...

Bearings vibration in gas turbines is considered as an injurious event, which results in incidents such as emergency shutdown or damages in turbine blades and imposes expensive costs to the system. Thus, measuring and analyzing of vibration rate in gas turbines is very important and knowing about its operational conditions and prediction of this phenomenon can help a lot in...

An adaptive fuzzy controller is designed for a class of underactuated nonlinear robotic manipulators, under the constraint that the system’s model is unknown. The control algorithm aims at satisfying the \(H_\infty \) tracking performance criterion, which means that the influence of the modeling errors and the external disturbances on the tracking error is attenuated to an...

The major purpose of the continuous development of reliability indices is to capture a comprehensive view of systems performance. The lack of consensus among utilities and regulators on which indices should be used complicates the problem more. Regulators inevitably make comparisons between utilities’ routinely reported reliability indices. Thus, an adequate and fair process...

The objective of the paper is to develop a pointwise control method for a 1D nonlinear wave equation and a filtering approach for estimating the dynamics of such a system from measurements provided from a small number of sensors. It is shown that the numerical solution of the associated partial differential equation results into a set of nonlinear ordinary differential equations...

Dry dual clutches are widely used in automated manual transmissions. In such systems the clutch engagement maneuvers require a precise knowledge of the characteristics that relate the frictional torque transmitted by the clutches with the corresponding actuators variables. In this paper a temperature and slip speed dependent model of the torque characteristic for dry dual...

Production plants are usually kept in operation for several decades. During this long operational phase operation requirements and other production conditions change frequently. Accordingly, the plants have to be adjusted in behavior and/or structure by adapting software and physics of the plant to avoid degeneration. Unfortunately, in industrial practice, changes, especially...

The article presents an approach to nonlinear control of fuel cells using differential flatness theory and Kalman filtering. First, it is proven that the dynamic model of fuel cells is a differentially flat one which means that all its state variables and control inputs can be expressed as differential functions of specific stare variables which are the so-called flat outputs of...

The objective of this study is to optimize maintenance activities in a production system by incorporating cost and reliability. An integrated multi-criteria approach is presented to optimize maintenance planning and also define its policies. Modelling maintenance activities is usually nonlinear and complex since it includes various parameters. Therefore, a simulation optimization...

The paper is concerned with proving differential flatness of the three-phase voltage source converter (VSC) model and its resulting description in the Brunovsky (canonical) form. For the linearized canonical model of the converter a feedback controller is designed. At a second stage, a novel Kalman Filtering method (Derivative-free nonlinear Kalman Filtering) is introduced. The...