This paper describes the control algorithm of a utility connected microgrid, based on independent control of active and reactive power and operating in centralized and distributed operation mode. The microgrid is comp...
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This paper describes the control algorithm of a utility connected microgrid, based on independent control of active and reactive power and operating in centralized and distributed operation mode. The microgrid is composed of several (three in the experimental tests conducted) configurable units, including generation, storage, and load units. These units are interfaced with the microgrid through a voltage source converter and are controlled by the nodes of the communication system by means of IEC 61850. The proposed control strategy is validated by simulation in MATLAB/Simulink and with experimental tests.
Manipulation from a free-flying vehicle has applications in space and undersea teleoperation. Both environments allow a vehicle to move freely in all six degrees of freedom. For many operations, such as inspection and...
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Manipulation from a free-flying vehicle has applications in space and undersea teleoperation. Both environments allow a vehicle to move freely in all six degrees of freedom. For many operations, such as inspection and servicing, the ability to manipulate from an undocked teleoperator will be essential. The major contribution of this research is the development of a control algorithm, coordinated control, which allows the simultaneous reduced-order control of a vehicle and attached manipulator.
This study proposes a modified modulated model predictive control (MMPC) scheme to control an open-end winding induction motor drive using an asymmetric source dual inverter with one floating bridge. The control algor...
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This study proposes a modified modulated model predictive control (MMPC) scheme to control an open-end winding induction motor drive using an asymmetric source dual inverter with one floating bridge. The control algorithm uses a modulation algorithm within the cost function optimisation scheme to avoid variable switching frequency. The voltage of the floating capacitor is regulated utilising predefined redundant switching sequences as well as the voltage vector location is identified to improve calculation time. The proposed MMPC scheme enhances the output performance with comparison to the model predictive control scheme. Experimental results are presented to verify theory and simulation results.
The time-optimal control for rest-to-rest maneuvers of flexible structures is considered, We formulate the general time-optimal control problem for single-axis flexible structures, and analytical results are given for...
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The time-optimal control for rest-to-rest maneuvers of flexible structures is considered, We formulate the general time-optimal control problem for single-axis flexible structures, and analytical results are given for the number of control switches for the one-bending-mode case, with and without damping, When there is no damping, it is shown that the time-optimal control generally has three switches and is an odd function of time about the second switch except in certain isolated cases where there is only one switch. With damping, it is shown that there is always more than one switch. A numerical method is presented for solving the time-optimal control for general linear systems, and solutions are presented for flexible structures with several flexible modes, revealing interesting trends of the time-optimal control switch times as the maneuver sizes and the frequencies and damping ratios of the flexible modes are varied.
A realistic stochastic control problem for hybrid systems with Markovian jump parameters can have the switching parameters in both the state and measurement equations. Furthermore, both the "base" and jump s...
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A realistic stochastic control problem for hybrid systems with Markovian jump parameters can have the switching parameters in both the state and measurement equations. Furthermore, both the "base" and jump states, in general, are not perfectly observed. Currently, there are only two existing controllers for this problem, both with complexity exponentially increasing with time. In this note, we present a new control algorithm for stochastic systems with Markovian jump parameters. This algorithm is derived through the use of stochastic dynamic programing and is designed to be used for realistic stochastic control problems, i.e., with noisy state observations. This new scheme has fixed computational requirements per stage and a natural parallel implementation. Simulation results compare this new control algorithm to the previous schemes.
The deployment/retrieval control of a tethered subsatellite connected through an elastic tether to a main body is studied. The dynamical model of the tether is a continuum, and the effect of tether elasticity is taken...
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The deployment/retrieval control of a tethered subsatellite connected through an elastic tether to a main body is studied. The dynamical model of the tether is a continuum, and the effect of tether elasticity is taken into account, Large deflection theory is adopted to formulate the strain of tether, The motion is described by nonlinear, partial differential, and time-varying equations and is treated directly without using any approximation of the modal analysis. The mission-function control algorithm is applied to the deployment/retrieval control of the subsatellite connected through the elastic tether. Results of numerical simulation show that the present control law works quite well for deployment/retrieval control of the subsatellite, and that the elastic vibrations of the tether are suppressed satisfactorily.
We consider the problem of constructing an adaptive control system with nonlinear reference model for a low order nonstationary dynamical object with a nonlinear actuator. We show the structure, analysis, and mathemat...
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We consider the problem of constructing an adaptive control system with nonlinear reference model for a low order nonstationary dynamical object with a nonlinear actuator. We show the structure, analysis, and mathematical modeling results for the adaptive control system.
The prototype algorithm of Human Simulated Intelligent control leads to the overshoot easily, it can not simulate human control Strategies completely. The modified algorithm of HSIC which is called Human-Like Intellig...
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The prototype algorithm of Human Simulated Intelligent control leads to the overshoot easily, it can not simulate human control Strategies completely. The modified algorithm of HSIC which is called Human-Like Intelligent control is pointed out in this paper, it divides control process into three stages: initial stage, adjusting stage and eliminating disturbance stage. The different control algorithms will be used in different stage, the control method do its best to simulate human control intelligences more nearly. The test results are given , it proves that the experimental result of the prototype algorithm is relatively stable but oscillating, the experimental result of the modified algorithm is better than the prototype algorithm, there is a consistency among stability, fast response and the best accuracy. The HLIC can be used in the process control.
A double-gimbal control-moment gyro (CMG) is modeled using Lagrange's equations, and an adaptive feedback control law is developed to follow a commanded CMG motion. The control law does not require knowledge of th...
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A double-gimbal control-moment gyro (CMG) is modeled using Lagrange's equations, and an adaptive feedback control law is developed to follow a commanded CMG motion. The control law does not require knowledge of the mass properties of the CMG. A Lyapunov argument is used to prove that command following is achieved globally with asymptotic convergence. Numerical simulations are performed to illustrate the command following algorithm. A CMG testbed was designed and constructed to implement and demonstrate the adaptive algorithm. This testbed is described, and experimental results are given.
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