In this paper, the Lp stability of the *** function with two parameters times a power law function tγ-1Eα,β(-λta) is discussed on the *** time interval. The necessary and *** conditions of Lp stability are derived...
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In this paper, the Lp stability of the *** function with two parameters times a power law function tγ-1Eα,β(-λta) is discussed on the *** time interval. The necessary and *** conditions of Lp stability are derived, which show that the discussed function is a continuous intermediate process connecting the exponential, power law and *** functions. A number of examples about the fractional order Lyapunov method and fractional order systems are illustrated to validate the concepts.
Model predictive instantaneous-current control (MPIC), which was proposed in our earlier works, enables us to achieve better instantaneous current control using mathematical models of an inverter and permanent magnet ...
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ISBN:
(纸本)9781467324199
Model predictive instantaneous-current control (MPIC), which was proposed in our earlier works, enables us to achieve better instantaneous current control using mathematical models of an inverter and permanent magnet synchronous motors (PMSM). However, the dead-time to avoid the short breakdown in the inverter is the main reason in the modeling error. If the modeling error is not ignorable, it is not possible to predict the current evolution using the model. Thus, in this paper, we analyze the influence of the dead-time in MPIC and propose a compensation technique for the dead-time so that the error of the predicted current is reduced. The effectiveness of the proposed method is verified through simulation and experiments.
Integration of STATCOM with energy storage devices plays an imperative role in improving the power system operation and control. Significant research has been done in this area for practical realization of benefits of...
Unmanned surface vehicles (USVs) are able to navigate in hazardous environments without jeopardising human life. In order to eliminate the human factor altogether, a reliable onboard collision detection and avoidance ...
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Abstract This paper develops and illustrates methods for the identification of Wiener model structures. These techniques are capable of accommodating the “blind” situation where the input excitation to the linear bl...
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Abstract This paper develops and illustrates methods for the identification of Wiener model structures. These techniques are capable of accommodating the “blind” situation where the input excitation to the linear block is not observed. Furthermore, the algorithm developed here can accommodate a nonlinearity which need not be invertible, and may also be multivariable. Central to these developments is the employment of the Expectation Maximisation (EM) method for computing maximum likelihood estimates, and the use of a new approach to particle smoothing to efficiently compute stochastic expectations in the presence of nonlinearities.
We propose an algorithm for optimal input design in nonlinear stochastic dynamic systems. The approach relies on minimizing a function of the covariance of the parameter estimates of the system with respect to the inp...
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This paper describes LCL filter design and control for grid-connected PWM converter. To attenuate switching harmonics on grid side with an LCL filter, cost effectiveness must be considered to select filter parameters....
This paper describes LCL filter design and control for grid-connected PWM converter. To attenuate switching harmonics on grid side with an LCL filter, cost effectiveness must be considered to select filter parameters. This paper proposes a filter design method based on a computer simulation tool. Depending on user's optimal cost function, filter parameters are chosen without tedious and repetitive mathematical calculations. On the other hand, damping factors must be introduced in control of LCL filter to suppress the inherent resonant characteristics. Since the resonance phenomenon is minimized by increasing the ratio of switching frequency to fundamental grid frequency in most conventional researches, it is difficult to be employed in high power system due to the limited switching frequency of power semiconductors in the converter. In this paper, a novel current controller with generalized gain determination is suggested. Discrete time controller based on only grid voltages and currents information is introduced, which yields desirable dynamic response even in lower switching frequency of PWM converter. Simulations and experimental results are presented to validate the proposed design and control procedures.
Abstract Unmanned surface vehicles (USVs) are able to navigate in hazardous environments without jeopardising human life. In order to eliminate the human factor altogether, a reliable onboard collision detection and a...
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Abstract Unmanned surface vehicles (USVs) are able to navigate in hazardous environments without jeopardising human life. In order to eliminate the human factor altogether, a reliable onboard collision detection and avoidance system is mandatory. This would improve a vessel's self reliance and aid in accomplishing complex missions for extended periods. In addition, the evasive manoeuvres are required to be compliant with coastguard regulations (COLREGs) defined by the International Maritime Organisation. This paper reports the preliminary investigation of such collision avoidance manoeuvres by employing a biased waypoint guidance scheme and genetic algorithms. The paper deals with reactive collision avoidance for objects in the near field. In addition, the dynamics of a USV called Springer is incorporated which provides a realistic setting for the proposed strategies. Simulation results demonstrate that the adopted schemes are able to generate safe and viable reference trajectories.
In this paper, the distributed robust output regulation problem of linear multi-agent systems (MAS) is considered. The driving force from the active leaders or the environmental disturbances is formulated as an input ...
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In this paper, the distributed robust output regulation problem of linear multi-agent systems (MAS) is considered. The driving force from the active leaders or the environmental disturbances is formulated as an input of an exogenous system (or exosystem) of the considered multi-agent networks. A systematic distributed design approach is proposed to handle output regulation via dynamic output feedback with the help of canonical internal model (IM). With common solutions of regulator equations and Lyapunov functions, the distributed robust output regulation with switching interconnection topology is designed to achieve collective aims.
In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest ...
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ISBN:
(纸本)9781612848006
In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest possible number of observations. This is inspired by the field of Compressive Sensing (CS), and for this reason, we call this problem Compressive System Identification (CSI). In the case of LTI ARX systems, a system with a large number of inputs and unknown input delays on each channel can require a model structure with a large number of parameters, unless input delay estimation is performed. Since the complexity of input delay estimation increases exponentially in the number of inputs, this can be difficult for high dimensional systems. We show that in cases where the LTI system has possibly many inputs with different unknown delays, simultaneous ARX identification and input delay estimation is possible from few observations, even though this leaves an apparently ill-conditioned identification problem. We discuss identification guarantees and support our proposed method with simulations. We also consider identifying LTV ARX models. In particular, we consider systems with parameters that change only at a few time instants in a piecewise-constant manner where neither the change moments nor the number of changes is known a priori. The main technical novelty of our approach is in casting the identification problem as recovery of a block-sparse signal from an underdetermined set of linear equations. We suggest a random sampling approach for LTV identification, address the issue of identifiability and again support our approach with illustrative simulations.
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