The paper presents a method for estimation of converter drive parameters. This estimation encompassed three types of drives, i.e. a static Scherbius drive, a drive with a brushless direct current (BLDC) motor and a dr...
详细信息
The paper presents a method for estimation of converter drive parameters. This estimation encompassed three types of drives, i.e. a static Scherbius drive, a drive with a brushless direct current (BLDC) motor and a drive with a voltage inverter. For drive modelling and parameter estimation, the author implemented original programmes written in FORTRAN. As well as these, the paper describes an objective function applied for the estimation. The author also compares gradient and gradientless methods, which are applied for minimization of the objective function. Finally, the author explains the estimation results for example drives, focusing on the coincidence of theoretical and empirical waveforms. The abovementioned procedure led to the general rule, which facilitates estimation efficiency.
In the context of wireless networked control systems energy constraints may become crucial.A special way to cope with them is based on an additional degree of freedom by independently selecting the sampling period and...
详细信息
ISBN:
(纸本)9781467325813
In the context of wireless networked control systems energy constraints may become crucial.A special way to cope with them is based on an additional degree of freedom by independently selecting the sampling period and the transmission *** transmission intervals are introduced to reduce the communication costs while preserving the quality of *** this paper a model-free and a novel model-based structure towards integral action are introduced.A stability proof for both approaches is given.
Due to the recent research advances on quantum computing, ideas from this field have been increasingly used as a source of inspiration for new variants of evolutionary algorithms. In this paper, the QIEA-SSEHC algorit...
详细信息
Due to the recent research advances on quantum computing, ideas from this field have been increasingly used as a source of inspiration for new variants of evolutionary algorithms. In this paper, the QIEA-SSEHC algorithm is proposed for solving multi-attribute combinatorial auction problems in multi-agent systems, characterized by an evolutionary hill-climbing phase, a steady state model and a repair procedure to keep all the individuals feasible. The results are compared to those of NSGA-II, a well-known multi-objective evolutionary algorithm, and convergence and diversity metrics are used to assess the quality of multidimensional solutions.
Usually when modeling a real process the effects of nonlinearities must be taken into account. A road traffic sector is one such process. Considering it from a macroscopic point of view, the sector is modeled both as ...
详细信息
Usually when modeling a real process the effects of nonlinearities must be taken into account. A road traffic sector is one such process. Considering it from a macroscopic point of view, the sector is modeled both as a nonlinear and as a linearized process. An 110 model is proposed and a RST control algorithm is used to ensure the imposed performances for the closed loop system. The robustness of the system is obtained by determining the modulus margin and based upon it the admissible nonlinearities are analyzed in order to determine the limits between which the system maintains its stability.
A difficult challenge in hybrid electric vehicles (HEVs) and full electric vehicles (EVs) is the torque control of externally excited synchronous machines (EESMs). Effective torque control requires an efficient soluti...
详细信息
A difficult challenge in hybrid electric vehicles (HEVs) and full electric vehicles (EVs) is the torque control of externally excited synchronous machines (EESMs). Effective torque control requires an efficient solution to the state reference generation problem, which is a nonlinear non-convex optimization problem. The goal of this paper is to develop a state reference generation algorithm based on the griding of the state and output spaces. Firstly, an approximation defined over a cubic partition of the torque function with a piecewise affine (PWA) function is made. As a result, the state reference generation problem is reduced in each cube to solving a convex optimization problem. Moreover, this approach provides guarantees about the error bound introduced by the state reference generation procedure for the full operational state-space. To illustrate the effectiveness and robustness of the proposed algorithm several simulation results are presented. The obtained results show significant improvement compared with existing state-of-the-art reference generation methods.
Virtual instrumentation is one of the major development resulted from the extensive use of computers, which offers the benefits of customizable software development of user-defined tools for control, process, and visu...
详细信息
Virtual instrumentation is one of the major development resulted from the extensive use of computers, which offers the benefits of customizable software development of user-defined tools for control, process, and visualization of data, creating versatile systems, using modular programming, intuitive and easy to use. In this paper we present the development and implementation of virtual instrumentation software for medical application running on a mobile device. We choose to develop an application that measures the Pulse Wave Velocity, due to major incidence and impact of cardiovascular diseases.
The paper provides a case study on the wireless circuit for the purpose of the EGG (Electrogastrography) signal acquisition. The authors present an amplifier based on the ADS1298, wireless communication module (Blueto...
The paper provides a case study on the wireless circuit for the purpose of the EGG (Electrogastrography) signal acquisition. The authors present an amplifier based on the ADS1298, wireless communication module (Bluetooth) and the microprocessor unit which have been recently built. The system is currently under examination but the outcome is very promising because the amplifier input is fed with the pure signal, i.e. no high/low pass filter is applied, that is a novelty. The system presented in this paper could be helpful in diagnosis gastric disorders in noninvasive way. It could determine patients with unexplained nausea, vomiting and other dyspeptic symptoms. The unit is under clinical trials tests and preliminary evaluation indicates acceptance by medical staff. Additional advantages are the relatively low cost of manufacture and the possibility of application remotely (pervasive computing).
Differential Ant Stigmergy Algorithm (DASA) is a recent meta-heuristic method which represents an adaptation of Ant Colony Optimization (ACO) to continuous optimization problems. Other adaptations of ACO to continuous...
详细信息
Differential Ant Stigmergy Algorithm (DASA) is a recent meta-heuristic method which represents an adaptation of Ant Colony Optimization (ACO) to continuous optimization problems. Other adaptations of ACO to continuous optimization exist but DASA seems to be very efficient for the class of highdimension real-parameters optimization problems, becoming a competitor to more classical methods such as Particle Swarm Optimization (PSO). The PSO is a meta-heuristic which is also inspired from insects' life as ACO. Even both methods use a population of entities, the memory of PSO is larger as those of DASA. DASA uses just one current solution around which the population search and the difference that generated last improvement. PSO stores the previous best position and velocity of every particle. This paper attempts to examine if an elitist version of DASA has at least the same effectiveness (finding the true global solution) as PSO, but with significantly better efficiency (less function evaluation). The performance comparison of DASA and PSO is implemented using a set of six test functions well known for their difficulty.
In this paper is described the design and implementation of a wireless atrial fibrillation monitoring system, for realtime remote patient monitoring in a limited area, using wireless sensor networks (WSN). The propose...
详细信息
ISBN:
(纸本)9781467345965
In this paper is described the design and implementation of a wireless atrial fibrillation monitoring system, for realtime remote patient monitoring in a limited area, using wireless sensor networks (WSN). The proposed system consists of a lightweight and low power wireless ECG acquisition and processing device, connected to a central monitoring station through WSN. The device is able to detect the paroxysmal atrial fibrillation episodes and transmits alerts to the central monitoring station. The system can be used for long-time continuous monitoring of patients suspected to have atrial fibrillation, as part of a diagnostic procedure, or recovery from an acute or surgical event. In order to detect the atrial fibrillation episodes we used a simple method based on RR intervals, extracted from ECG signal. We evaluated the performance of the method on MIT-BIH Atrial Fibrilation Database from Physionet. The central monitoring station runs a patient monitor application that receives the real time heart rate and atrial fibrillation alerts from WSN. A user-friendly Graphical User Interface was developed for the patient monitor application to display the heart rate and alerts coming from the monitored patient. A prototype of the system has been developed, implemented and tested.
暂无评论