This paper proposes a method to compute finite abstractions that can be used for synthesizing robust hybrid control strategies for nonlinear systems. Most existing methods for computing finite abstractions utilize som...
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For cascaded systems, interactions among individually designed power subsystems may cause the instability of the whole system. Regulating the input impedance of the load converter is an effectively way to solve this p...
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ISBN:
(纸本)9781479985876
For cascaded systems, interactions among individually designed power subsystems may cause the instability of the whole system. Regulating the input impedance of the load converter is an effectively way to solve this problem, however, one big challenge of this method is how to consider the stability of cascaded system and the dynamic performance of load converter together. In light of this, this paper proposes a parallel-virtual-impedance (PVI) control strategy to improve the input impedance of the load converter. The proposed virtual impedance is in parallel with the load converter, via the proposed virtual impedances, the magnitude and phase of the input impedance of the load converter is modified only in a small range of frequency. As a result, this method not only solves the instability problem of the cascaded system, but also keeps a good dynamic performance for load converter. This paper discusses the concept, realization and design consideration of the proposed strategy in detail. Finally, a 100 W cascaded system, which consisting of an LC filter and a 48V-12V buck converter, is built to verify the correctness of the proposed methods 1 .
In kite power systems, substantial input delay between the actuator and the tethered kite can severely hinder the performance of the control algorithm, limiting the capability of the system to track power-optimal loop...
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ISBN:
(纸本)9781479978878
In kite power systems, substantial input delay between the actuator and the tethered kite can severely hinder the performance of the control algorithm, limiting the capability of the system to track power-optimal loops. We propose a method that deals with this impediment by using a data-based adaptive filter that predicts future states despite variations in wind conditions, other exogenous disturbances and model mismatch. Moreover, we exploit the geometry of the path on a hemisphere to enhance the guidance algorithm for such kites at a fixed length tether. The objective is to improve the automatic crosswind operation of an airborne wind energy system. To test this under realistic conditions, a small-scale prototype was employed for a series of experiments. The robustness to disturbances and the performance of the algorithm in path following was evaluated for a number of different paths.
This research paper proposes a single camera based depth estimation technique. The proposed technique takes images of walls in a room and detects objects of interest in a cluttered environment. Having detected differe...
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This research paper proposes a single camera based depth estimation technique. The proposed technique takes images of walls in a room and detects objects of interest in a cluttered environment. Having detected different objects in a room the proposed technique calculates their areas. Based on training data and polynomial curve fitting approach the proposed technique estimates the distance of the camera from the objects. For a real world object one can determine a fixed equation which can then be used to find any random distance. The approach is efficient and can effectively be applied to any indoor navigation or motion planning algorithm. Based on the estimated distances from different objects the proposed algorithm estimates the accurate location of the camera (mounted on a robot) in a room. For detection we have used template matching technique. Algorithm compares the reference template with the objects of interest in a cluttered environment by using SURF (speeded up robust features). The proposed algorithm is tested on real world images and compared with the existing depth estimation techniques.
In this paper, the problem of robust set invariance and contractivity with respect to discrete-time dynamical systems is investigated. In contrast to the usual approach consisting in describing regions of system's...
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In this paper, the problem of robust set invariance and contractivity with respect to discrete-time dynamical systems is investigated. In contrast to the usual approach consisting in describing regions of system's space by their border surfaces, a dual description of sets in terms of a generator matrix and a, generally nonlinear, generating function is proposed. This leads to the establishment of an associated generated system whose robust set invariance and/or contractivity properties imply corresponding properties for the initial system. This general result is then applied to the development of robust set invariance and/or robust contractivity conditions for linear systems.
A robotic swarm is a self-organizing multi-robot system characterized by simplicity of individual agents, local sensing and communication capabilities, parallelism in task execution, robustness, scalability, flexibili...
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A robotic swarm is a self-organizing multi-robot system characterized by simplicity of individual agents, local sensing and communication capabilities, parallelism in task execution, robustness, scalability, flexibility and decentralized control. Security of robotic swarms has been largely overlooked and the main contribution of this paper is to propose a bioinspired formalism based on membrane computing and P colonies in order to provide the robotic swarm with a way to discern between own and foreign (self and nonself) robots.
The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop ...
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In this paper, the problem of set invariance and contractivity with respect to continuous-time dynamical systems is investigated. In contrast to the usual approach consisting in describing regions of system's stat...
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In this paper, the problem of set invariance and contractivity with respect to continuous-time dynamical systems is investigated. In contrast to the usual approach consisting in describing regions of system's state space by their border surfaces, a dual description of sets in terms of a generator matrix and a, generally nonlinear, generator function is proposed. This leads to the establishment of an associated generated system whose set invariance and/or contractivity properties imply corresponding properties for the initial system. This general result is then applied to the development of robust set invariance and/or contractivity conditions for linear and nonlinear systems.
We consider the input design problem of finding the minimal required experiment time such that accuracy constraints on the parameter estimate of an identification experiment are satisfied, while also respecting signal...
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ISBN:
(纸本)9781509025923
We consider the input design problem of finding the minimal required experiment time such that accuracy constraints on the parameter estimate of an identification experiment are satisfied, while also respecting signal amplitude bounds. The input signal is parameterized as a multi-sine. We first show how multiple linear matrix inequalities from the least-costly and applications-oriented experiment design frameworks can be transformed into a generalised E-optimality constraint. Then, the solution to our problem is found by: (i) designing a multi-sine of one period with the Guillaume-Manchester algorithm [12], [10] that minimises the generalised E-optimality criterion under signal amplitude bounds, and (ii) utilising periodicity and an optimality condition to scale the experiment time such that the imposed accuracy constraints are also respected. An example shows an experiment time reduction of 50% compared with a traditional least-costly experiment design approach.
In this paper, the problem of rudder-roll damping control for a class of cruise keeping ships subject to both actuator fault and state saturation is investigated. A manoeuvring and rudder control model of marine vesse...
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ISBN:
(纸本)9781467380768
In this paper, the problem of rudder-roll damping control for a class of cruise keeping ships subject to both actuator fault and state saturation is investigated. A manoeuvring and rudder control model of marine vessels is firstly reviewed based on the existing literature. Actuator faults which including partial loss of rudder effectiveness and actuator-bias faults are considered in the model. Then a switching control strategy is developed to compensate for the actuator faults and to guarantee the stability of the rudder-roll damping control system. Moreover, some relationship regarding state saturation bounds, actuator fault limits and control parameters are analyzed in this paper. Finally, simulation results are given to illustrate the proposed procedures and their effectiveness.
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