Brushless Generation Systems are currently in great demand for remote area micro-grid application. Dual Stator Winding Induction Generator (DSWIG), having two windings on the stator of same pole configuration and a sq...
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ISBN:
(纸本)9781479917631
Brushless Generation Systems are currently in great demand for remote area micro-grid application. Dual Stator Winding Induction Generator (DSWIG), having two windings on the stator of same pole configuration and a squirrel cage rotor, has been identified as one of the suitable candidates for such application. In most of the configurations proposed so far, one of the winding is responsible for power extraction and the other for maintaining desired excitation. This paper proposes a control algorithm which facilitates power extraction through both the stator windings. MATLAB/SIMULINK based simulation studies illustrate the efficacy of the control method. A dSPACE 1103 based laboratory prototype has been developed and experimental results are presented.
We provide a constructive global discontinuous control law with state dependent switches for a class of under-actuated nonlinear mechanical robotic systems that will drive the system to an arbitrarily small neighborho...
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ISBN:
(纸本)9781479909964
We provide a constructive global discontinuous control law with state dependent switches for a class of under-actuated nonlinear mechanical robotic systems that will drive the system to an arbitrarily small neighborhood of rest from all initial configurations and velocities in arbitrarily small time. Because all physical mobile robotic systems are mechanical in nature, control methodologies which exploit the fact that the system is governed by principles of mechanics which are particularly important for robotic engineers. The philosophy of the approach is that instead of using control algorithms which start with a completely generic dynamical system, we constrain the structure of the system to be one which is a Lagrangian control system. To the extent the structure of the mechanical system can be exploited, stronger control results are possible to obtain, such as the stopping algorithm in this paper. Specifically, for control of general nonlinear systems, there are many unsolved problems for the case when the system is not at an equilibrium, and the results in this paper are an initial contribution to this area. The robot is assumed to be underactuated by one in the configuration space;hence, in the state space it is underactuated by twice the dimension of the configuration space plus two. Our method can easily be extended to construct a global discontinuous control law with state dependent switches that will drive the system to an arbitrarily small neighborhood of any velocity from any initial configuration and velocity in arbitrarily small time.
Unlike the existing loss-based and delay-based congestion control algorithms, the Bottleneck Bandwidth Round-trip propagation time (BBR) congestion control algorithm determines the amount of sending data to be transfe...
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ISBN:
(数字)9781728138930
ISBN:
(纸本)9781728138947
Unlike the existing loss-based and delay-based congestion control algorithms, the Bottleneck Bandwidth Round-trip propagation time (BBR) congestion control algorithm determines the amount of sending data to be transferred at a specific time by calculting BDP (Bandwidth Delay Product). However, when BBR competes with loss-based congestion control algorithms, such as Reno and CUBIC, most of the bottleneck bandwidth is occupied by specific flows or excessive packet loss occurs. In previous work, we proposed an improved loss recovery mechanism in order to address above problems. Through the previous proposal, the fairness between BBR and loss-based algorithms was improved if the buffer size was larger than 2 BDP. However, if the buffer size was smaller than 2 BDP, the performance imbalance and continuous packet retransmission still occurred. In this paper, we propose a congestion window upper scaling method that complements the previously proposed loss recovery mechanism. In addition, we conduct an experiment and evalute its enhanced performance in a Mininet emulator.
This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid parti...
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ISBN:
(纸本)9781510804166
This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid particle swarm optimization. We simultaneously consider the traffic overload control and energy efficiency in the soft-switch server of new generation electric communication networks. Then the rate allocation method is used to construct the control input rate. The energy-efficient traffic overload control model is built. And we use the hybrid particle swarm optimization to solve the model, the initial solution is obtained, and then genetic algorithm is used to handle the initial solution, and obtain the exact optimal solution. Finally, the simulation results show that the proposed algorithm is feasible and effective.
Autonomous vehicles can risk dangerous rollover if they corner without taking roll motion into consideration. This paper proposes a control algorithm to follow a curved road while simultaneously preventing rollover. M...
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ISBN:
(纸本)9781479917730
Autonomous vehicles can risk dangerous rollover if they corner without taking roll motion into consideration. This paper proposes a control algorithm to follow a curved road while simultaneously preventing rollover. Model predictive control is applied to minimize roll motion throughout cornering. The prediction of vehicle state is based on a four-wheel nonlinear vehicle model with roll dynamics and a tire brush model. Full braking is utilized as a control actuator to achieve an optimal balance in the trade-off between vehicle speed and roll motion. CarSim simulations show the performance of the proposed control approach and the influence of vehicle parameters on control performance.
In this note we consider the closed-loop control of an aeroelastic torsion model where the control objective is to track a desired shape. A Lyapunov approach is utilized and an adaptive control algorithm using e-modif...
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ISBN:
(纸本)9781467360890
In this note we consider the closed-loop control of an aeroelastic torsion model where the control objective is to track a desired shape. A Lyapunov approach is utilized and an adaptive control algorithm using e-modification is proposed. The entire analysis is confined to the underlying infinite dimensional space and uniform ultimate boundedness of the closed-loop system is proved. Numerical simulation is provided to illustrate the performance.
In this paper the problem of designing a second-order sliding mode controller for nonlinear systems with bounded uncertainties is addressed. The adding a power integrator technique is applied to develop a new second-o...
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ISBN:
(纸本)9781479983926
In this paper the problem of designing a second-order sliding mode controller for nonlinear systems with bounded uncertainties is addressed. The adding a power integrator technique is applied to develop a new second-order sliding mode control algorithm. It is shown that under the controller thus designed, the resulting closed-loop system can achieve the finite-time Lyapunov stability, which is superior to the similar results in the literature that can only give the finite-time convergence. The performance of the new second-order sliding mode control algorithm is demonstrated by an illustrative example.
A power system consisting of a photovoltaic (PV) array panel, dc-to-dc switching converter and a battery is considered in this paper. A backstepping PWM controller is developed to maximize the power of the solar gener...
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ISBN:
(纸本)9781424474264
A power system consisting of a photovoltaic (PV) array panel, dc-to-dc switching converter and a battery is considered in this paper. A backstepping PWM controller is developed to maximize the power of the solar generating system. The controller tracks a desired array voltage, designed online using an incremental conductance extremum-seeking algorithm, by varying the duty cycle of the switching converter. The stability of the control algorithm is demonstrated by means of Lyapunov analysis.
This paper investigates the controllability of a 6-phase single winding bearingless permanent magnet (PM) slice machine drive system under a variety of power electronic short-circuit conditions and the proper control ...
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ISBN:
(纸本)9781479903375
This paper investigates the controllability of a 6-phase single winding bearingless permanent magnet (PM) slice machine drive system under a variety of power electronic short-circuit conditions and the proper control algorithms to accomplish the successful rotor levitation under these short-circuit faults. Analysis shows that the bearingless PM slice machine drive system is only controllable under the following short-circuit fault conditions: 1) short circuit in one single phase winding, 2) short circuit in two adjacent phase windings, and 3) short circuit in two opposite phase windings. Experiments are performed for the above three short-circuit fault conditions to verify the proposed control algorithms.
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