In this paper, we propose a new control algorithm to reduce the capacity of a previously proposed smart charger for electric vehicles (EVs) on single-phase three-wire distribution feeders with reactive power control. ...
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ISBN:
(纸本)9781479903375
In this paper, we propose a new control algorithm to reduce the capacity of a previously proposed smart charger for electric vehicles (EVs) on single-phase three-wire distribution feeders with reactive power control. The basic principle of the proposed control algorithm is discussed in detail. It is shown that controlling the reactive power on the source side reduces the capacity of the previously proposed smart charger. A digital computer simulation is implemented to confirm the validity of the proposed control algorithm using PSIM software. A prototype experimental model is also constructed and tested. Experimental results demonstrate that balanced source currents with a power factor of 0.9, which is acceptable for Japanese home appliances, are obtained on the secondary side of the pole-mounted distribution transformer during both the battery charging and discharging operations in EVs. This reduces the capacity of the smart charger by 32% compared with that of the smart charger with the previously proposed control algorithm.
A strategy to eliminate harmonics from the grid current as well as the voltage of the point of common coupling (PCC) for microgrid applications is presented in this paper. The position of the harmonics reduction unit ...
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ISBN:
(纸本)9781479903375
A strategy to eliminate harmonics from the grid current as well as the voltage of the point of common coupling (PCC) for microgrid applications is presented in this paper. The position of the harmonics reduction unit is selected so that it can reduce the harmonics level of the grid current and PCC voltage harmonics irrespective of the distribution of the renewable energy sources in microgrid. The proposed compensation system can be operated in both grid connected and islanded microgrid system without changing any configuration. In the proposed control algorithm, the required amount of attenuation for the harmonics is determined to meet the THD requirement specified by IEEE 519. Fast and efficient algorithm for phase detection irrespective of the presence of harmonics has been utilized for the system. The effectiveness of proposed method is verified by simulation and experimental results.
In wireless networking, receivers are typically assumed to be utilizing single-user decoding. Still, for more than twenty years we know that we can take advantage of interference by multi-user decoding. The Interferen...
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ISBN:
(纸本)9781467357517
In wireless networking, receivers are typically assumed to be utilizing single-user decoding. Still, for more than twenty years we know that we can take advantage of interference by multi-user decoding. The Interference Cancellation (IC) technique has, of late, gained interest in the wireless networking context. In our previous work in [1] we have shown considerable potential gains by leveraging optimal collaborative rate control to enable IC, focusing on the low Signal-to-Noise Ratio (SNR) regime. Here, we present centralized and distributed rate control algorithms, enabling IC, to increase system throughput. We consider a system where the receivers can apply multi-user decoding to perform IC and the rates are provided by a step-wise function of the Signal to Interference-and-Noise Ratio (SINR), in realistic conditions. We conduct a thorough simulation study comparing the proposed algorithms, and deliver results that indicate significant system throughput gains.
An innovative cruise control algorithm for electric vehicles (trains, cars) powered by induction motors has been recently proposed in [12]. It achieves vehicle speed regulation to a given constant reference by incorpo...
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ISBN:
(纸本)9781479929153
An innovative cruise control algorithm for electric vehicles (trains, cars) powered by induction motors has been recently proposed in [12]. It achieves vehicle speed regulation to a given constant reference by incorporating a suitable rotor speed generator into a highly efficient adaptive indirect field oriented control. The aim of this paper is to solve an analogous regulation problem in which automatic, feedback-based variations in the vehicle speed reference are required to be on-line performed by the control algorithm in order to take into account constraints on the tire longitudinal slip. CarSim simulations illustrate the effectiveness of the proposed approach in performing challenging manoeuvres, even in the presence of complex vehicle dynamics that have been neglected in the control design steps.
Integrating residential photovoltaic (PV) power generation and electrical energy storage (EES) systems into the Smart Grid is an effective way of utilizing renewable power and reducing the consumption of fossil fuels....
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ISBN:
(纸本)9781467350716
Integrating residential photovoltaic (PV) power generation and electrical energy storage (EES) systems into the Smart Grid is an effective way of utilizing renewable power and reducing the consumption of fossil fuels. This has become a particularly interesting problem with the introduction of dynamic electricity energy pricing models since electricity consumers can use their PV-based energy generation and EES systems for peak shaving on their power demand profile from the grid, and thereby, minimize their electricity bill. Due to the characteristics of a realistic electricity price function and the energy storage capacity limitation, the control algorithm for a residential EES system should accurately account for various energy loss components during operation. Hybrid electrical energy storage (HEES) systems are proposed to exploit the strengths of each type of EES element and hide its weaknesses so as to achieve a combination of performance metrics that is superior to those of any of its individual EES components. This paper introduces the problem of how best to utilize a HEES system for a residential Smart Grid user equipped with PV power generation facilities. The optimal control algorithm for the HEES system is developed, which aims at minimization of the total electricity cost over a billing period under a general electricity energy price function. The proposed algorithm is based on dynamic programming and has polynomial time complexity. Experimental results demonstrate that the proposed HEES system and optimal control algorithm achieves 73.9% average profit enhancement over baseline homogeneous EES systems.
This paper develops a learning control algorithm adapting the reference point and force to interact with an object of unknown geometry and elasticity. The controller is inspired by neuroscience studies that investigat...
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ISBN:
(纸本)9781467363563
This paper develops a learning control algorithm adapting the reference point and force to interact with an object of unknown geometry and elasticity. The controller is inspired by neuroscience studies that investigated the neural mechanisms when human adapt to virtual objects of different properties. The learning control algorithm estimates the shape and stiffness of the given object while maintaining a specified contact force with the environment. Simulations demonstrate the efficiency of the algorithm to identify the geometry and impedance of an unknown object without requiring force sensing. These properties are attractive for robotic haptic exploration with little demand on the sensing.
The paper deals with the design procedure of an LC based output filter for three-phase inverters to be used in both off-grid and on-grid scenarios. The aim of this procedure is to provide guidelines and component sele...
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ISBN:
(纸本)9781479903375
The paper deals with the design procedure of an LC based output filter for three-phase inverters to be used in both off-grid and on-grid scenarios. The aim of this procedure is to provide guidelines and component selection criteria for reducing the inverter output switching ripple in order to limit the interaction with the control algorithm and to increase the filter stability. A suitable combination of resistive and reactive components is used to realize the complete filter structure. The proposed procedure is applied to the design of the output power filter for a 40 kVA three-phase inverter.
This paper describes the newest hybrid active filter topology, the Smart Impedance, under unbalanced harmonic mitigation in three-phase four-wire systems. A three-phase modular approach permits the selective compensat...
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ISBN:
(纸本)9781479903375
This paper describes the newest hybrid active filter topology, the Smart Impedance, under unbalanced harmonic mitigation in three-phase four-wire systems. A three-phase modular approach permits the selective compensation of unbalanced harmonic components, no matter the current imbalance level or the harmonic sequence components flowing through the line. The Smart Impedance effectiveness highlights its capability of mitigating harmonics from voltage-source or current-source nonlinear loads emerging as an option to Parallel Active Filter or Parallel Passive Filter and classical hybrid active filter. The control algorithm is based on Proportional Resonant Controller. Practical results demonstrate the effectiveness of the Smart Impedance topology under unbalanced and different load conditions.
Iterative learning control algorithms are applicable to the many industrial processes that complete the same finite duration task over and over again. One example is a gantry robot executing a pick and place operation...
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ISBN:
(纸本)9781479909964
Iterative learning control algorithms are applicable to the many industrial processes that complete the same finite duration task over and over again. One example is a gantry robot executing a pick and place operation in synchronization with a moving conveyor. The novel feature of these algorithms is the use of information from previous executions to update the control input for application on the next one. Iterative learning control has a 2D systems structure and this paper will give an overview of recent progress on the design of iterative learning control laws in this setting. A particular focus will be on the relative merits of this approach over alternatives and also experimental verification. Open research questions will also be discussed.
The realization of small, unmanned, automatic airplanes is a significant project at Obuda University. Essential results have been achieved regarding automatic take-off and navigation. Another important research field ...
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ISBN:
(纸本)9781479908271
The realization of small, unmanned, automatic airplanes is a significant project at Obuda University. Essential results have been achieved regarding automatic take-off and navigation. Another important research field is development of design methods for adaptive controllers as alternatives to the Lyapunov function technique. For guaranteeing global stability this method means the realization of a complicated process that does not reveal subtle details of the trajectory tracking of the controlled system. These details depend on the numerous adaptive parameters of the Lyapunov function the optimal setting of which can be achieved e.g. by evolutionary techniques and ample numerical investigations. The suggested alternative primarily concentrated on these details and has only a few parameters. Without complementary parameter tuning only local stability can be achieved, but for a wide set of physical systems tuning only one of its parameters can maintain global stability. Our aim is to integrate these researches. The here presented results, i.e. that of simulation investigations on the "Robust Fixed Point Transformations (RFPT)" based control of the linearized model of a small airplane mean the first definite step in this direction. The convergence of the controller is stabilized by independent agents (model-independent observers) that are able to recognize whether the tuned control parameter approached the boundary of convergence and intervenes the tuning process accordingly. The expectation is the improvement of the already existing control algorithms.
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