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Due to the rising installed power of distributed regenerative energy sources and enhanced flexibility by the installation of local house batteries and battery electric vehicles, todays power grids are facing new challenges. In rural areas farmers are using their roof surfaces to harvest sun energy with photovoltaic cells. This leads to the fact, that small groups of houses may produce more power than...
Modeling complex mechatronic systems containing parts such as mechanics, electronics and software is a major challenge for the engineering of automation production systems. As a result, many modeling languages as well as tools (e.g. petri nets or MATLAB/Simulink) and verification approaches (e.g. testing, simulation or formal verification) that focus on special challenges to model the mechatronic...
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with...
Yarn quality prediction plays an important role in modern textile production management. Due to the nonlinearity and non-stationarity of yarn quality indicator series, the accuracy of the commonly used conventional methods, including regression analyses and artificial neural networks (ANN), has been limited. A prediction model based on support vector regression (SVR) is proposed in this paper to solve...
In this paper, stochastic models for fault detection in industrial automation processes are investigated. Thereby, nonlinear, time-variant systems are considered. The basic idea consists in building a probability distribution model and evaluating the likelihood of observations under that model. In contrast to the existing methods, this paper considers the practically important case in which measurement...
In this paper, the problem of liquid level control based on visual feedback is investigated in application to a real life model of an industrial plant. Visual detection of liquid level is implemented on the Raspberry Pi computer. Computational intelligence based controller uses input-output feedback linearization. Parameters of the controller are provided by the neural network ANARX structure. As...
Modern Process Control Systems (PCS) exhibit an increasing trend towards the pervasive adoption of commodity, off-the-shelf Information and Communication Technologies (ICT). This has brought significant economical and operational benefits, but it also shifted the architecture of PCS from a completely isolated environment to an open, “system of systems” integration with traditional ICT systems, susceptible...
Multi-cluster systems with real-time networks are gaining increasing importance to address the communication needs of large-scale embedded systems in different domains such as automotive, factory automation and health-care systems. At the same time, heterogeneous application subsystems with varying criticality levels require different timing models including time-triggered communication, event-triggered...
This paper describes the development of a remote laboratory in the area of automatic and robotic engineering. The laboratory is based on an educational platform around a robotic arm that allows emulating a practical laboratory in which engineering students can confirm their theoretical results comparing them with the real paths traced by the robot. Thus, the research work presented in the article...
The purpose of this research is to realize the novel palpation method called “organ palpation”. In conventional palpation method, the doctor knows the hardness of organ by his force sense. However, the organ palpation can get the quantitative hardness value by pushing the organ directly. In order to measure the hardness of organ directly, a remote actuator and an endoscope are utilized. In this paper,...
Mobile robots are often utilized in remote and hostile outdoor environments with uncertainties and unknown dangerous. The energy-efficient paths generated based on prior information can be impracticable due to the changes in the environment. Recently proposed Z∗ search algorithm is capable of finding physically feasible energy-efficient paths on uneven terrains. It can achieve the same accuracy as...
Limited availability of resources increases the importance of decentralized control through optimal networking of sensors and controllers in practical MIMO systems. Design of this network entails rigorous consideration of constraints in sensors, communication relays as well as controllers. Given that each of these elements has different capacity, a framework for optimal allocation of communication...
This paper presents an innovative design method of polynomial control laws by mean of pole placement which are actually smart solutions to many industrial applications. Even if this category of controllers is very popular in industry, most of their applications concern problems of constant reference signals. In this paper, we propose an indirect adaptive controller by fractional order pole placement,...
The PI algorithm has proven to be a popular and widely used control method, due to its relative simplicity and robustness. Despite this, the linear nature of the algorithm means it doesn't provide optimal control to non-linear systems. This paper presents a novel method of improving the performance of the PI controller using an ANFIS network to provide gain scheduling. This control scheme is applied...
This paper proposes a new method to study the time-frequency diagrams used to diagnose induction motors. The complex pattern of evolving harmonics and interferences obtained from the analysis of the stator current during a high-inertia direct-on-line startup, such as the one needed for an acceleration test, is analyzed by a non-Markovian Particle Filtering state estimation approach. The introduction...
Modular design is crucial to manage large-scale systems and to support the divide-and-conquer development approach. It allows hierarchical representations and, therefore, one can have a system overview, as well as observe component details. Petri nets are suitable to model concurrent systems, but lack on structuring mechanisms to support abstractions and the composition of sub-models, in particular...
As plug-in hybrid electric vehicles (PHEVs) are expected to be widely used in the near future, a mathematical model is developed based on the traditional security constrained unit commitment (SCUC) formulation to address the power system dispatching problem with PHEVs taken into account. With the premise of power system secure operation, both the economic benefit for PHEV users and the carbon-emission...
Degradation information of a complex mechanical system reflects the system's health status and is useful to predict the future progression of the fault or anomalous behaviors. This paper proposed a two-stage strategy to predict the future health status of a bearing by utilizing the bearing's degradation information. The first stage was implemented to monitor the bearing's health status until a degradation...
The paper proposes a new method for the control of nonlinear dynamical systems which is based on differential flatness theory. The method assumes that the system is already found or can be transformed to the so-called triangular form. The controller design proceeds by showing that each row of the statespace model of the nonlinear system stands for a differentially flat system, where the flat output...
This paper discusses models and methods for the analysis of PV systems with Distributed Maximum Power Point Tracking (DMPPT). An Energy Productivity Analysis Algorithm (EPAA) is discussed, integrating models and algorithms from component level to system level, allowing the analysis of PV systems operating in partial shading and electrical mismatched conditions. The EPAA provides realistic assessment...
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