In this paper an object-oriented (OO) Fault Detection and Isolation (FDI) method for complex systems is developed. Examples of such systems are mechatronic systems, commercial vehicles and chemical process plants. Suc...
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ISBN:
(纸本)9781467357159
In this paper an object-oriented (OO) Fault Detection and Isolation (FDI) method for complex systems is developed. Examples of such systems are mechatronic systems, commercial vehicles and chemical process plants. Such systems consist of numerous subsystems from different physical domains. Each subsystem is described by an object. The mathematical composition of these objects results in a differential algebraic equation (DAE) which describes the overall system. This DAE is automatically analyzed and transformed into a set of residual generators (RG) in integral causality which meet a given isolability specification.
This paper presents an energy management system for smart microgrids (MGs) based on hierarchical model predictive control (HiMPC). The HiMPC comprises two levels. On the lower level load-frequency control is realized ...
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ISBN:
(纸本)9781467357159
This paper presents an energy management system for smart microgrids (MGs) based on hierarchical model predictive control (HiMPC). The HiMPC comprises two levels. On the lower level load-frequency control is realized on a short time scale while on the upper level economic dispatch and unit commitment are implemented on a long time scale. HiMPC allows integrating these functionalities over different time scales while regarding constraints (e.g. power ratings) and predictions (e.g. on renewable generation and load) as well as rejecting disturbances (e.g. due to volatile renewable generation) based on a systematic model- and optimization-based design. The HiMPC problem is formulated as a mixed-integer linear program which can be solved efficiently using standard solvers. The energy management system is evaluated for a smart MG of a company with a focus on grid integration of electric vehicles.
This paper addresses the output-based control and scheduling codesign problem for controlsystems sharing a limited resource, especially embedded controlsystems (ECSs). The joint design (codesign) of a controller and...
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ISBN:
(纸本)9781467357159;9781467357159
This paper addresses the output-based control and scheduling codesign problem for controlsystems sharing a limited resource, especially embedded controlsystems (ECSs). The joint design (codesign) of a controller and a scheduler is for the purpose of improving the resulting control performance. ECSs with a set of independent linear time-invariant plants and considerable computation time delays are modeled as discrete-time switched linear systems. Based on the resulting model, the codesign problem is introduced and decomposed into a state-based control and scheduling codesign subproblem and an observer design subproblem using the separation principle. Both subproblems are eventually formulated as LMI subproblems which can be solved efficiently. Two types of observers are introduced to cope with the lack of all states: Prediction observer and current-state observer. The effectiveness of the proposed output-based codesign method is illustrated for simultaneous stabilization of three inverted pendulums.
While neurons in the brain are individually quite slow, collectively they can recognize concrete objects as well as abstract concepts very quickly. Motivated by this puzzling fact we propose biologically plausible alg...
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ISBN:
(纸本)9781467357159
While neurons in the brain are individually quite slow, collectively they can recognize concrete objects as well as abstract concepts very quickly. Motivated by this puzzling fact we propose biologically plausible algorithms that are capable of quickly recognizing similar graph structures. Graphs are combinatorial constructions and pose serious challenges to similarity testing. In this paper we use the transient behavior of random walk over graphs to compare their spectral resolution. We collect data from intrinsically parallel random walks to form a graph response function as an effective measure of graph similarity. Our algorithm could be a solution to the long standing mystery of content addressability in the brain.
For networked embedded controlsystems (NECSs) besides control performance an efficient usage of computation and communication resources is crucial. This paper presents a novel event-based codesign concept for NECSs. ...
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ISBN:
(纸本)9781479901777
For networked embedded controlsystems (NECSs) besides control performance an efficient usage of computation and communication resources is crucial. This paper presents a novel event-based codesign concept for NECSs. The codesign concept involves a joint design of a control law, a scheduler, and an event generator. The control law serves for improving control performance, the scheduler and the event generator for an efficient usage of the limited resources. The codesign problem is formulated as a linear matrix inequality (LMI) problem which can be solved efficiently. The developed theory is evaluated through a simulation for networked embedded control of a set of inverted pendulums. Noteworthy, the codesign concept is generally applicable to discrete-time switched linear systems.
The iterative adaptive approach (IAA) is a spectral estimation algorithm that provides high resolution estimates with as little as a single snapshot. However, IAA is not a sparsity promoting algorithm which might be d...
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The iterative adaptive approach (IAA) is a spectral estimation algorithm that provides high resolution estimates with as little as a single snapshot. However, IAA is not a sparsity promoting algorithm which might be desirable in specific applications. In this work, we present two approaches for producing sparse IAA estimates. We examine the performance using a source localization example.
In the present study, the Volterra series theory is adopted to theoretically investigate the force transmissibility of multiple degrees of freedom (MDOF) structures, in which an isolator with nonlinear anti-symmetri...
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In the present study, the Volterra series theory is adopted to theoretically investigate the force transmissibility of multiple degrees of freedom (MDOF) structures, in which an isolator with nonlinear anti-symmetric viscous damping is assembled. The results reveal that the anti-symmetric nonlinear viscous damping can significantly reduce the force trans- missibility over all resonance regions for MDOF structures with little effect on the transmissibility over non-resonant and isolation regions. The results indicate that the vibration isolators with an anti-symmetric damping characteristic have great potential to solve the dilemma occurring in the design of linear viscously damped vibration isolators where an increase of the damping level reduces the force transmissibility over resonant frequencies but increases the transmissibility over non-resonant frequency regions. This work is an extension of a previous study in which MDOF structures installed on the mount through an isolator with cubic nonlinear damping are considered. The theoretical analysis results are also verified by simulation studies.
Aircraft Electric Power systems (EPS) route power from generators to vital avionic loads by configuring a set of electronic control switches denoted as contactors. In this paper, we address the problem of designing a ...
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ISBN:
(纸本)9781467357159
Aircraft Electric Power systems (EPS) route power from generators to vital avionic loads by configuring a set of electronic control switches denoted as contactors. In this paper, we address the problem of designing a hierarchical optimal control strategy for the EPS contactors in the presence of system faults. We first formalize the system connectivity, safety and performance requirements in terms of mathematical constraints. We then show that the EPS control problem can be formulated as a Mixed-Integer Linear Program (MILP) and efficiently solved to yield load shedding, source allocation, contactor switching and battery charging policies, while optimizing a number of performance metrics, such as the number of used generators and shed loads. This solution is then integrated into a hierarchical control scheme consisting of two layers of controllers. The high-level controller provides control optimality by solving the MILP within a receding horizon approach. The low-level controller handles system faults, by directly actuating the EPS contactors, and implements the solution from the high-level controller only if it is safe. Simulation results confirm the effectiveness of the proposed approach.
It is common that an efficient constrained plant operation under full range of disturbance inputs require meeting different sets of control objectives. This calls for application of model predictive controllers each o...
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The Iterative Learning control (ILC) problem in which tracking is only required at a subset of isolated time points along the trial duration has recently gained significant attention since it addresses the practical n...
The Iterative Learning control (ILC) problem in which tracking is only required at a subset of isolated time points along the trial duration has recently gained significant attention since it addresses the practical needs of many *** paper extends the framework by embedding simultaneous iterative convergence of subsets of outputs to reference trajectories on subintervals. This enables it to tackle tasks which mix ‘point to point’ movements with linear tracking requirements, which substantially broadens the application domain (e.g. to include automation tasks which include welding or cutting movements, or human motion control where the movement is restricted by the task to straight line and/or planar segments). A solution to the problem is presented in the framework of Norm Optimal ILC (NOILC), providing well-defined convergence properties, design guidelines and supporting experimental results.
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