基于模糊神经网络直接转矩控制系统设计

针对传统的直接转矩控制中存在转矩、定子磁链波动大的问题,提出了一种结合空间矢量调制的模糊神经网络直接转矩控制方法。它运用模糊神经网络得到期望的任意相位空间电压矢量,再结合空间矢量调制直接对逆变器的开关状态进行控制,以达到减小转矩、定子磁链波动的目的。最后以TMS320F240为核心搭建了一个直接转矩控制系统,通过采集实验数据,分析该直接转矩控制系统与传统的直接转矩控制系统相比磁链和转矩波动明显减少,并具良好的响应性。     

Volt/Var control in a distribution system by a fuzzy optimization approach

This paper presents a fuzzy optimization approach for solving the Volt/Var control problem in a distribution system with uncertainties. Wind turbines are being considered in the study distribution system. The main purpose is to find an optimum combination of tap position for the main transformer under load tap changer (ULTC) and on/off status for switched capacitors in a day to minimize the voltage deviation on the secondary bus of the main transformer, reactive power flow through the main transformer and real power loss on feeders. When performing the Volt/Var control problem in conventional methods, the hourly load and wind speed must be forecasted to prevent errors. However, actually there are always errors in these forecasted values. A characteristic feature of the proposed fuzzy optimization approach is that the forecast hourly load and wind speed errors can be taken into account using fuzzy sets. Fuzzy set notations in the load demand, wind speed, voltage deviation on the secondary bus, reactive power flow through the main transformer and total real power loss on feeders are developed to obtain the optimal dispatching schedule under an uncertain environment. To demonstrate the effectiveness of the proposed method, the Volt/Var control problem is performed in a distribution system within the service area of Yunlin District Office of Taiwan Power Company (TPC). The results show that a proper dispatching schedule for ULTC position and capacitor switching operation can be reached using the proposed method.     

Control of a DC/DC converter by fuzzy controller for a solar pumping system

The exploitation of the solar energy is very significant for the very sunny countries. Moreover the dryness phenomenon in these country is imposes more and more the use of pumping plants. The storage of the water in insulated basins from the wells has a double advantage. On the one hand, it is a technical storage solution of the solar energy collected by the photovoltaic panels. On the other hand, it is a hygienic way out to supply water for the rural population.In our work, we propose a technique for the identification of the maximum power point (MPP) based on fuzzy logic. This method is used to generate the cyclic ratio to operate the switcher within the maximum power of a photovoltaic array (PVA).For simulation purpose we made a complete modeling of the entire system. The system carried out consists of a photovoltaic array supplying, through a DC converter, a direct current (DC) engine coupled to a centrifugal pump. Our experimental bench consists of two principal units. A DC converter module composed of IGBT power transistors. And a processing module connected to a PC serial port, handling the input signals delivered by photovoltaic generator and controlling the power unit.The obtained experimental results confirm the simulation result which is very satisfactory and show the utility of the fuzzy controller for the optimization of the system.     

Optimal power flow by a fuzzy based hybrid particle swarm optimization approach

This paper presents a fuzzy based hybrid particle swarm optimization (PSO) approach for solving the optimal power flow (OPF) problem with uncertainties. Wind energy systems are being considered in the study power systems. OPF is an optimization problem which minimizes the total thermal unit fuel cost, total emission, and total real power loss while satisfying physical and technical constraints on the network. When performing the OPF problem in conventional methods, the load demand and wind speed must be forecasted to prevent errors. However, actually there are always errors in these forecasted values. A characteristic feature of the proposed fuzzy based hybrid PSO method is that the forecast load demand and wind speed errors can be taken into account using fuzzy sets. Fuzzy set notations in the load demand, wind speed, total fuel cost, total emission, and total real power loss are developed to obtain the optimal setting under an uncertain environment. To demonstrate the effectiveness of the proposed method, the OPF problem is performed on the IEEE 30- and 118-Bus test systems.     

KINCO总线型触摸屏在电动大巴行业的应用

本文主要介绍KINCO总线型触摸屏在电动大巴电池管理系统中的应用。在这个控制系统中,触摸屏和微控制器通过CAN总线通信并完成电池组相关信息的数据采集。触摸屏监控到的主要参数：系统电压、系统电流、电池容量、电池温度、报警故障等。     

A new and accurate fault location algorithm for combined transmission lines using Adaptive Network-Based Fuzzy Inference System

This paper presents a new and accurate algorithm for locating faults in a combined overhead transmission line with underground power cable using Adaptive Network-Based Fuzzy Inference System (ANFIS). The proposed method uses 10 ANFIS networks and consists of 3 stages, including fault type classification, faulty section detection and exact fault location. In the first part, an ANFIS is used to determine the fault type, applying four inputs, i.e., fundamental component of three phase currents and zero sequence current. Another ANFIS network is used to detect the faulty section, whether the fault is on the overhead line or on the underground cable. Other eight ANFIS networks are utilized to pinpoint the faults (two for each fault type). Four inputs, i.e., the dc component of the current, fundamental frequency of the voltage and current and the angle between them, are used to train the neuro-fuzzy inference systems in order to accurately locate the faults on each part of the combined line. The proposed method is evaluated under different fault conditions such as different fault locations, different fault inception angles and different fault resistances. Simulation results confirm that the proposed method can be used as an efficient means for accurate fault location on the combined transmission lines.     

电梯群控系统与人工智能技术

本文对电梯群控系统的特点作了介绍,强调了群控系统对降低电梯能耗的意义。介绍了模糊控制、专家系统和神经网络在电梯群控系统中的应用情况,指出了它们的不足和今后人工智能技术发展的方向。     

苏里格致密砂岩压裂中转向剂用量与转向角的关系

绒囊转向剂通过改变岩石强度控制裂缝走向,已在现场应用获得印证,但是缺乏裂缝转向理论研究。转向剂强度与转向角的关系是转向裂缝准确地延伸至预定位置的关键之一。室内进行转向剂封堵实验和岩石三轴实验,用囊层剂+1.5%绒毛剂+0.3%成核剂+0.5%成膜剂配制绒囊转向剂,测得注入量为4、8、10、12 mL时,封堵后承压达到10.15、12.37、16.52、25.14 MPa;绒囊转向剂封堵直径75 mm致密砂岩岩心人造裂缝,通过三轴试验机测得封堵前后岩心径向应力应变曲线拐点从0.004 8 mm/mm升至0.012 7 mm/mm,轴向曲线拐点从0.014 3 mm/mm升至0.018 6 mm/mm,说明岩心强度提高。测得转向角增量分别为24.9°、23.2°、37.5°和55.9°。根据4组岩心封堵后弹性模量19.55、16.65、19.61、19.77 GPa和泊松比0.36、0.30、0.46、0.38,选择影响转向角度的参数为弹性模量和泊松比,用最小二乘法方法拟合参数与裂缝转向角度之间的数学关系,得到弹性模量与泊松比商的自然对数与转向角度呈线性关系,进而得到注入量与转向角的函数关系。结果表明,绒囊流体的注入量可以控制转向角度,进而实现转向裂缝准确延伸至目的层位。      

微波控制电路的微组装组件研制

提出了微组装电路组件在微波功放控制电路中的应用, 介绍了微组装电路组件的散热措施。     

一种新的模糊K邻域矢量量化码本设计算法

本文提出了一种新的模糊K邻域矢量量化码本设计算法(FKNNVQ)。该算法具有对 初始码本依赖性小,不会局部最小,收敛速度快,码本性能好等优点。实验结果表明,FKNNVQ算法与Karayannis等1995年提出的模糊矢量量化算法(FVQ)相比,设计的图象码本峰值信噪比和收敛速度都有明显改善。