Considering the pitch sensor fault of pitch systems in wind turbines, a multi-innovation observer based fault detection method is proposed. The pitch system can be modeled as a second order differential equation. And ...
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ISBN:
(纸本)9781479987313
Considering the pitch sensor fault of pitch systems in wind turbines, a multi-innovation observer based fault detection method is proposed. The pitch system can be modeled as a second order differential equation. And then the equation is transformed into a state space model. According to the state space model, a multi-innovation observer is designed to estimate the system state. The pitch sensor fault can be detected through the residual which is generated by comparing the state estimation with the output of an actual system. The simulation results show that the proposed approach is able to detect the pitch sensor fault effectively.
The droop controller is widely used for the parallel operation of inverters. However, the conventional droop controller has a trade-off between the power sharing and the regulations of the output voltage amplitude and...
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ISBN:
(纸本)9781479957774
The droop controller is widely used for the parallel operation of inverters. However, the conventional droop controller has a trade-off between the power sharing and the regulations of the output voltage amplitude and frequency. In order to remove this trade-off, a new droop controller is presented in this paper. This method adopts the structure of the robust droop controller and utilizes the transient droop characteristic, which enables proportional power sharing without output voltage amplitude or frequency deviation. Simulation results are provided to demonstrate the feasibility and excellent performance of the proposed controller.
This paper proposes a solution for solving a specific problem that requires a team of identical robots to collect in a specific order different types of resources scattered throughout an environment. A Petri net with ...
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This paper proposes a solution for solving a specific problem that requires a team of identical robots to collect in a specific order different types of resources scattered throughout an environment. A Petri net with outputs models the environment, the team possible movements and the regions with resources. An iterative solution plans the team such that each robot collects and assembles resources in the required order. Each iteration step is based on a linear programming problem that is guaranteed to return a feasible firing vector for the Petri net system. A pseudocode description of the procedure is given and a simulation example is included.
This work proposes a holistic perspective on a coordination strategy for an Intelligent Operation Centre (IOC) at city level that accounts for the implementation of critical intervention protocols. The proposed soluti...
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This work proposes a holistic perspective on a coordination strategy for an Intelligent Operation Centre (IOC) at city level that accounts for the implementation of critical intervention protocols. The proposed solution depicts an agent based simulation scenario, demonstrating the real-time integration of large amounts of data into a decision making process. Based on this type of analysis, leaders have the possibility to analyze data for better decisions, anticipate problems to resolve them proactively and coordinate resources to operate effectively. The proposed agent-based coordination solution is validated through an Agent-Based oriented simulation (ABS) of specific behavioural scenarios. These scenarios account for emergency response in case of city wide critical situations in a larger perspective of a scalable multi-agent system whose main task is human life protection.
The Smart City concept is the context in which a scalable agent architecture with emergent properties is introduced in this paper. These agents form on-demand control loops within the urban system, taking into account...
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The Smart City concept is the context in which a scalable agent architecture with emergent properties is introduced in this paper. These agents form on-demand control loops within the urban system, taking into account both the protection and the comfort of its inhabitants, at varying degrees of intelligence and abstraction of tasks and/or purpose. The resulting flexibility and scalability of the system allows expansion and contraction of the systemic environments, integration with emergency response units, protection of human lives, as well as day to day regular operations. The case study included in this paper illustrates the real-time creation of a control loop for an underground railway intersection system. The objective of forming the traffic light and rail switch control loops is first formulated, followed by the message exchange between devices in order to perform the reorganization of the system, in an agent based simulation scenario.
It has been recently shown that regularization methods for system identification have, under certain circumstances, advantages over classical parametric methods. This advantage is mainly due to the fact that the regul...
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ISBN:
(纸本)9781467360890
It has been recently shown that regularization methods for system identification have, under certain circumstances, advantages over classical parametric methods. This advantage is mainly due to the fact that the regularization term, which have a well known Bayesian interpretation, is an effective and flexible mean to control model complexity. In this paper we take a principled approach to the design of kernels and, using a well known decomposition of the so called "stable spline" kernel, we show that it provides a natural description for impulse responses of linear systems. Motivated by this decomposition we introduce a new family of multiple kernels which yields a remarkable improvement over state-of-the-art kernels when it comes to modeling resonant systems.
A novel automatic meteor detection approach, using a self-organizing map type of artificial neural network is presented in this paper. The proposed solution aims at analyzing a given dataset and extracting the meteor ...
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A novel automatic meteor detection approach, using a self-organizing map type of artificial neural network is presented in this paper. The proposed solution aims at analyzing a given dataset and extracting the meteor signals present in it. For this, a self-organizing map is trained using radio recordings. This neural network will then be used on a test dataset to check the performances of the proposed approach.
This work proposes a policy iteration procedure for the synthesis of optimal and globally stabilizing control policies for Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) syste...
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ISBN:
(纸本)9781479917730
This work proposes a policy iteration procedure for the synthesis of optimal and globally stabilizing control policies for Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. This class includes systems with eigenvalues on the imaginary axis (possibly repeated) but no pole with positive real part. The proposed policy iteration relies on a class of piecewise quadratic Lyapunov functions which is non-differentiable, but continuous, and polynomial in both the state and the deadzone functions of the input signals. The second step of the policy iteration is based on a piecewise control policy improvement. An important aspect of the proposed piecewise policy is that at each step of the iteration the computed policy is globally stabilizing and the existence of an improving value function is guaranteed as well. The solution to the inequalities which is required to hold at each step of the policy iteration, is obtained by solving Sum-of-Squares Programs (SOSP) that can be efficiently implemented with semidefinite programming (SDP) solvers.
We propose an improved proposal distribution in the Particle Metropolis-Hastings (PMH) algorithm for Bayesian parameter inference in nonlinear state space models. This proposal incorporates second-order information ab...
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We propose an improved proposal distribution in the Particle Metropolis-Hastings (PMH) algorithm for Bayesian parameter inference in nonlinear state space models. This proposal incorporates second-order information about the parameter posterior distribution, which can be extracted from the particle filter already used within the PMH algorithm. The added information makes the proposal scale-invariant, simpler to tune and can possibly also shorten the burn-in phase. The proposed algorithm has a computational cost which is proportional to the number of particles, i.e. the same as the original marginal PMH algorithm. Finally, we provide two numerical examples that illustrates some of the possible benefits of adding the second-order information.
The continuous changes on the market and customer demands have forced modern automation systems to provide more strict Quality of Service (QoS) requirements such as load balance or full availability of the control sys...
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ISBN:
(纸本)9781479966509
The continuous changes on the market and customer demands have forced modern automation systems to provide more strict Quality of Service (QoS) requirements such as load balance or full availability of the control system, among other characteristics. In order to cope with these demanding requirements, modern automation systems have started to incorporate novel design approaches which include reconfiguration mechanisms. Following this trend, this paper presents the use of MDE techniques and technologies, to help in the definition of the control system of reconfigurable automation plants. Directly from the model-based design, a model-based tool is derived that provides support for the generation of the elements that compose the reconfigurable control system.
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