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In this paper, automatic separation of hybrid system models for industrial automation systems is considered. The proposed method facilitates efficient separation of systemlevel models into component-level models. Such component-level models allow for model-based diagnosis, since a close relation exists between anomalies on a component-level and fault causes. The approach is based on the concept of...
Wireless Sensor Networks (WSNs) are widely installed during the last years for monitoring multiple parameters of interest over distributed areas in the environment, buildings and industries. The WSN nodes are frequently installed in geographically remote areas. Thus, they are power-supplied by renewable energy sources and a DC-DC power converter is employed for interfacing the generated energy to...
The development process of an Unscented Kalman Filter (UKF) in an embedded platform for navigation purposes is presented in this work. This type of filter is usually executed in real-time, therefore high processing speed is required. The authors outline the steps followed to allow the use of a cheap microcontroller unit to implement a full state UKF at a maximum frequency of about 200 Hz. Some important...
This paper addresses the optimization of energy flows between electric drives in conveying systems. Thereby, load peaks and the feedback of electric energy into the grid are reduced. The approach is based on the solution of a mixed integer quadratic optimization problem which incorporates models for energy flows and energy consumption of the electric drives. Models for energy flows and energy consumption...
This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO control system structure with azimuth and pitch position control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation...
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
This paper provides a Dynamic Programming (DP) approach to optimally manage the charging schedule of electrical vehicles (EV) based on a decentralized global optimization frame given by the use of a Game Theory approach. The paper provides a detailed explanation of a forward induction DP algorithm and shows its adaptation to the problem of optimal charging of one EV with the corresponding constraints...
This paper applies a multi-physics optimization exemplary considering electromagnetic and aero-/ thermo-dynamic performance. Today, electrical drives used for railway traction face limited space constrains which leads to high power density machines. That requires advanced cooling concepts that are able to highly effectively discharge heat without adding more volume and weight in the boggy. A novel...
Plug-in electric vehicles (PEVs) are one of the solutions to reduce transportation dependency on oil. Nevertheless, uncoordinated charging in distribution low voltage (LV) networks can lead to local grid problems such as current unbalance and consequently voltage unbalance. In this paper, a combinatorial method based on Ant System (AS) optimization is proposed in order to minimize the current unbalance...
The paper presents a technique for parameter estimation of photovoltaic (PV) modules from datasheet information. The manufacturer normally provides open-circuit voltage, short-circuit current, maximum power, and voltage at maximum power under the standard test conditions (STC). The four datasheet values represent the targeted performance of the module. Parameter estimation is formulated as an optimization...
Plug-in electric vehicles (PEVs) under the vehicle-to-grid (V2G) concept, providing ancillary services such as regulation, spinning reserves and peak shaving have been subject of many research works. However, power quality issues, such as current unbalance and voltage unbalance have had less reception among researchers in recent years. In order to draw attention on this matter, the purpose of this...
Non-linear optimal control using collocation and multiple shooting is investigated in this paper to generate the current reference signal for the lower level control of an active filter in a marine vessel with diesel-electric propulsion. The optimization objective is aimed at using the active filter for system-level minimization of Total Harmonics Distortion with the minimum rating of the active filter...
In this paper a Model Predictive Control (MPC) method for torque control of a Permanent Magnet Synchronous Motor (PMSM) is presented. The proposed approach takes into account constraints on voltages and currents, and allows the use of modulation techniques that eliminate the side effects caused by the direct transistor actuation performed by Model Predictive Direct Torque Control (MP-DTC) approaches...
This work considers the problem of optimizing the energy management within an Energetic Island by modelling the parameters that configure its components. Such components are typical ones found in renewable energy systems and Smart Grids systems: a power storage system, on demand energy generators and different models for energy generation and load. The optimization consists of minimizing two key values...
At the present time, industrial robots for assembly tasks only constitute a small portion of the annual robot sales. One of the main reasons is that it is difficult for conventional industrial robots to adapt to the complicity and flexibility of assembly processes. Therefore, intelligent industrial robotic systems are attracting more and more attention. However, because of the modeling difficulty...
Electric machines designs for traction applications are concerned with high power density, high efficiency and low manufacturing cost. In order to achieve better combination of parameters that satisfy the machine electromagnetics, mechanical, and thermal designs limitations; an optimization algorithm is very necessary. Therefore; this work focuses on comparing two optimization algorithms that are...
In this paper we present power flow optimization of a residential DC microgrid that consists of photovoltaic array, batteries stack and fuel cells stack with electrolyser, and is connected to the grid via bidirectional power converter. The optimization problem aims to minimize microgrid operating costs and is formulated using a linear program that takes into account the storages charge and discharge...
Optimal controller and anti-windup tuning can be identified to a hard optimization problem and be solved by metaheuristics. Since metaheuristics' performance is based on the balance between the diversification and intensification processes obtained by adjusting the method parameters, it is important to set it adequately to provide a high quality solution. A statistical Ant Colony Optimization (ACO)...
This paper suggests an optimal behavior prediction mechanism for a control system, using previously learned solutions to simple tasks called primitives. The optimality of the behavior is formulated as a reference trajectory tracking problem. The primitives are stored in a library of pairs of reference input/controlled output signals. The reference input primitives are optimized in a Model-Free Iterative...
The olive paste preparation is one of the most important task within the olive oil elaboration process. It greatly determines the quality of the obtained oil, and imposes an upper bound on the achievable extraction yield. Currently, the master miller is the person in the plant who adjusts the productive process parameters. The decisions are based on his knowledge and it depends on the proposed elaboration...
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