检索结果-内蒙古大学图书馆

Some Investigations on Hybrid Fuzzy IPD controllers for Proportional and Derivative Kick Suppression

International Journal of Automation and computing 2016年第5期13卷 516-528页

作者： Vineet Kumar K.P.S.Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology(NSIT)

Proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative （PID） controller due to a sudden change in reference set-point is generally undesired in process industry. Therefore, the structure of conventional parallel PID controller is modified to integral minus proportional derivative （I-PD） controller. In this paper, three hybrid fuzzy IPD controllers such as a fuzzy I-fuzzy PD （FI-FPD） controller and its hybrid combinations with its conventional counterpart such as fuzzy I-PD （FI-PD） and I-fuzzy PD （I-FPD） are presented in view of above industrial problem. These controllers are based upon the counterpart conventional I-PD controller and contains analytical formulae. Computer simulations are carried out to evaluate the performance of hybrid fuzzy controllers along with conventional I-PD and PID controllers for set-point tracking and disturbance rejection for an induction motor in closed loop using LabVIEWTM environment. The gains of conventional and hybrid fuzzy controllers are tuned using genetic algorithm （GA） for minimum overshoot and settling time. It has been observed that hybrid fuzzy controllers along with the conventional I-PD controller significantly remove the kick from the control action in reference set-point tracking. However, in disturbance rejection, I-PD and FI-PD controllers fail to eliminate the kick from the control signal. In contrast, FI-FPD and I-FPD controllers considerably reduced spikes from the control action in disturbance rejection. Among the conventional and hybrid fuzzy IPD controllers, FI--FPD demonstrates much better set-point tracking and disturbance rejection response with spike free control action.

关键词： Proportional plus integral plus derivative （PID） integral minus proportional derivative （I-PD） hybrid fuzzy IPD con- troller proportional kick derivative kick.

来源：评论

学校读者我要写书评

暂无评论

Inter-area Power Oscillation and Potential Application Phasor Measurement Units for the Vietnam 500kV Power System

引用

IFAC-PapersOnLine 2016年第27期49卷 342-347页

作者： Minh Trang, Le Thi Uhli, Ivan Department of Instrumentation and control Engineering CTU in Prague Czech Republic Head of division electrical engineering Department of Instrumentation and control Engineering CTU in Prague Czech Republic

This paper discusses the optimal solution for damping oscillation in high voltage network using phasor measurement unit (PMU). The analyzing operation of 500kV power via blackout happened in recently could certainly benefit from development and potential application synchronized phasor measurement units (PMUs) technology. The purpose is to increase the overall system efficiency and reliability for all power operation modes via significant dependence on wide area measurement system (WAMs) as intelligent grid. © 2016

关键词： Phasor measurement units Phase measurement Smart power grids Damping oscillation High voltage networks Inter area power oscillations Optimal solutions Phasor Measurement Unit (PMU) Synchronized phasor measurement unit Wide Area Wide area measurement systems (WAMS)

来源：评论

学校读者我要写书评

暂无评论

PATTERN-RECOGNITION BY HOMOMORPHIC GRAPH MATCHING USING HOPFIELD NEURAL NETWORKS

引用

IMAGE AND VISION COMPUTING 1995年第1期13卷 45-60页

作者： SUGANTHAN, PN TEOH, EK MITAL, DP Division of Instrumentation & Control Engineering School of Electrical and Electronic Engineering Nanyang Technological University Singapore 2263 Singapore

The application of the Hopfield neural network as a constraint satisfaction network for pattern recognition is investigated in this paper. Suitable energy and compatibility functions are introduced for pattern recognition by homomorphic attributed relational graph (ARG) matching. Although many computer vision problems have been traditionally formulated as combinatorial optimization problems, most of them can be reduced to that of finding the nearest local minimum of an objective function. In this paper, a novel network initialization strategy is applied to achieve the desired complexity reduction. Further, a method to verify and localize the hypotheses generated by the Hopfield network is also presented using an efficient pose clustering algorithm. The performance of the connectionist approach to pattern recognition by homomorphic relational graph matching is demonstrated using a number of line patterns, silhouette images and circle patterns.

关键词： PATTERN RECOGNITION HOPFIELD NEURAL NETWORK CONSTRAINED OPTIMIZATION ATTRIBUTED RELATIONAL GRAPH MATCHING INEXACT HOMOMORPHISM POSE CLUSTERING

来源：评论

学校读者我要写书评

暂无评论

Some Investigations on Fuzzy P+Fuzzy I+Fuzzy D controller for Non-stationary Process

引用

International Journal of Automation and computing 2012年第5期9卷 449-458页

作者： Vineet Kumar B. C. Nakra A. P. Mittal Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University Department of Mechanical Engineering Institute of Technology and Management University Division of Instrumentation and Control Engineering Netaji Subhas Institute of TechnologyDelhi University

The paper addresses the adaptive behaviour of parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller. The parallel FP+FI+FD controller is actually a non-linear adaptive controller whose gain changes continuously with output of the process under control. Two non-stationary processes, whose characteristics change with time, are considered for simulation study. Simulation is performed using software LabVIEW TM . The set-point tracking response of parallel FP+FI+FD is compared with conventional parallel proportional plus integral plus derivative (PID) controller, tuned with the Ziegler-Nichols (Z-N) tuning technique. Simulation results show that conventional PID controller fails to track the set-point and becomes unstable as the process changes its characteristic with time. But the parallel FP+FI+FD controller shows considerably much better set-point tracking response and does not deviate from steady state. Also, a huge spike is observed in the output of PID controller as the reference set-point and process parameters are changed, while the FP+FI+FD controller gives spike free control signal.

关键词： Proportional plus integral plus derivative (PID) controller fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller non-stationary process adaptive control self-tuning

来源：评论

学校读者我要写书评

暂无评论

The Jini-based broadband power line communication (BPLC) home control system

The Jini-based broadband power line communication (BPLC) hom...

引用

International Symposium on Information Technology Convergence

作者： Kim, Hee-Sun Han, Sang-Seok Lee, Chang-Goo Department of Control and Instrumentation Engineering Division of Electronics and Information Engineering

ISBN: (纸本)9780769530451

A home network system guarantees to provide a family with a safe, economical and healthy life, and it services domestic safety, control of instruments, controllable energy and health monitoring by using home appliances. Our studies designed the broadband power line communication (BPLC) home controller which could save much cost at a network infrastructure by using the existing power line at home. The BPLC home controllers could control various domestic appliances such as a digital door-lock, a boiler, an oven and etc., because these controllers had various I/O specifications. We selected the Jini technology surrogate architecture as a home network middleware for our system, this technology was designed to access a home network system without a limitation of the devices. And the client application program of the system managed and monitored the BPLC home controller via web browser. In this paper we implemented the home security system using the single BPLC home controller.

关键词： controllers carrier transmission on power lines Accidents,emergencies and safety Web Browser

来源：评论

学校读者我要写书评

暂无评论

A Robust Fractional Order Fuzzy P ＋ Fuzzy I ＋ Fuzzy D controller for Nonlinear and Uncertain System

引用

International Journal of Automation and computing 2017年第4期14卷 474-488页

作者： Vineet Kumar K. P. S. Rana Jitendra Kumar Puneet Mishra Sreejith S Nair Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT) University of Delhi New Delhi 110078 India

In this paper, a robust fractional order fuzzy P ＋ fuzzy I ＋ fuzzy D （FOFP ＋ FOFI ＋ FOFD） controller is presented for a nonlinear and uncertain 2-1ink planar rigid manipulator. It is a nonlinear fuzzy controller with variable gains that makes it self- adjustable or adaptive in nature. The fractional order operators further make it more robust by providing additional degrees of freedom to the design engineer. The integer order counterpart, fuzzy P ＋ fuzzy I ＋ fuzzy D （FP ＋ FI ＋ FD） controller, for a comparative study, was realized by taking the integer value for the fractional order operators in FOFP ＋ FOFI ＋ FOFD controller. The performances of both the fuzzy controllers are evaluated for reference trajectory tracking and disturbance rejection with and without model uncertainty and measurement noise. Genetic algorithm was used to optimize the parameters of controller under study for minimum integral of absolute error. Simulation results demonstrated that FOFP ＋ FOFI ＋ FOFD controller show much better performance as compared to its counterpart FP ＋ FI ＋ FD controller in servo as well as the regulatory problem and in model uncertainty and noisy environment FOFP ＋ FOFI ＋ FOFD controller demonstrated more robust behavior as compared to the FP ＋ FI ＋ FD controller. For the developed controller bounded-input and bounded-output stability conditions are also developed using Small Gain Theorem.

关键词： Fuzzy P ＋ fuzzy I ＋ fuzzy D （FP ＋ FI ＋ FD） controller fractional order fuzzy P ＋ fuzzy I ＋ fuzzy D （FOFP ＋ FOFI＋ FOFD） controller fractional order operator robust control model uncertainty noise suppression.

来源：评论

学校读者我要写书评

暂无评论

Enhancing Linearity of Voltage controlled Oscillator Thermistor Signal Conditioning Circuit Using Linear Search

引用

Journal of The Institution of Engineers (India): Series B 2018年第3期99卷 263-271页

作者： Rana, K.P.S. Kumar, Vineet Prasad, Tapan Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi110078 India

Temperature to Frequency Converters (TFCs) are potential signal conditioning circuits (SCCs) usually employed in temperature measurements using thermistors. A NE/SE-566 based SCC has been recently used in several reported works as TFC. Application of NE/SE-566 based SCC requires a mechanism for finding the optimal values of SCC parameters yielding the optimal linearity and desired sensitivity performances. Two classical methods, namely, inflection point and three point have been employed for this task. In this work, the application of these two methods, on NE/SE-566 based SCC in TFC, is investigated in detail and the conditions for its effective usage are developed. Further, since these classical methods offer an approximate linearization of temperature and frequency relationship an application of a linear search based technique is proposed to further enhance the linearity. The implemented linear search method used results obtained from the above mentioned classical methods. The presented simulation studies, for three different industrial grade thermistors, revealed that the linearity enhancements of 21.7, 18.3 and 17.8% can be achieved over the inflection point method and 4.9, 4.7 and 4.7% over the three point method, for an input temperature range of 0–100 °C. © 2018, The Institution of Engineers (India).

关键词： Linearization

来源：评论

学校读者我要写书评

暂无评论

Neural reinforcement learning based identifier for typing keys using forearm EMG signals 2017

Neural reinforcement learning based identifier for typing ke...

引用

9th International Conference on Signal Processing Systems, ICSPS 2017

作者： Sharma, Rajneesh Kukker, Amit Instrumentation and Control Engineering Division NSIT Delhi11078 India

ISBN: (纸本)9781450353847

This work proposes a neural reinforcement learning (NRL) identifier for accurate classification finger movements for typing tasks using forearm Electromyogram (EMG) signals. We first extract four key statistical features from the EMG signals (channel 1 and channel 2) corresponding to seven typing keys. Next, these features are fed to a reinforcement learning based k nearest neighbor neural classifier for identifying the keys using a "trial and error" approach. We use EMG data from typing tasks of ten subjects using two acquisition electrodes: Channel 1 and channel 2. In the first part of our work, we attempt to classify typing keys using EMG data corresponding to one subject only. After sufficient learning, NRL classifier achieved an accuracy of 99.01% and 98.29% for channel 1 and channel 2, respectively. In second part of our work, we fed the EMG data of all the ten subjects to the NRL. The NRL is able to achieve a classification accuracy of 92.7%. We also employ a subspace ensemble nearest neighbor approximator yielding a classification accuracy of 94.3% with 5- cross fold validation and 97.1% with 3-cross fold validation. Results show the effectiveness and viability of using NRL for identifying typing movements using forearm EMG signals. © 2017 Association for Computing Machinery.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Stability Analysis of Parallel Fuzzy P + Fuzzy I + Fuzzy D control Systems

引用

International Journal of Automation and computing 2013年第2期10卷 91-98页

作者： Vineet Kumar A. P. Mittal R. Singh Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University Indian Society for Technical Education Shaheed Jeet Singh Marg

The study presented in this paper is in continuation with the paper published by the authors on parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative （FP ＋ FI ＋ FD） controller. It addresses the stability analysis of parallel FP ＋ FI ＋ FD controller. The famous＂small gain theorem＂ is used to study the bounded-input and bounded-output （BIBO） stability of the fuzzy controller. Sufficient BIBO-stability conditions are developed for parallel FP ＋ FI ＋ FD controller. FP ＋ FI ＋ FD controller is derived from the conventional parallel proportional plus integral plus derivative （PID） controller. The parallel FP ＋ FI ＋ FD controller is actually a nonlinear controller with variable gains. It shows much better set-point tracking, disturbance rejection and noise suppression for nonlinear processes as compared to conventional PID controller.

关键词： Proportional plus integral plus derivative （PID） fuzzy proportional plus fuzzy integral plus fuzzy derivative （FP ＋ FI ＋ FD） controller fuzzy control bounded-input and bounded-output （BIBO） stability nonlinear process.

来源：评论

学校读者我要写书评

暂无评论

MONITORING AND DIAGNOSIS OF ROLLING ELEMENT BEARINGS USING ARTIFICIAL NEURAL NETWORKS

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1993年第2期40卷 209-217页

作者： ALGUINDIGUE, IE LOSKIEWICZBUCZAK, A UHRIG, RE Department of Nuclear Engineering University of Tennessee Knoxville TN USA Instrumentation of Control Division Oak Ridge National Laboratory Oak Ridge TN USA

Vibration monitoring of components in manufacturing plants involves the collection of vibration data from plant components and detailed analysis to detect features that reflect the operational state of the machinery. The analysis leads to the identification of potential failures and their causes and makes it possible to perform efficient preventive maintenance. This paper documents our work on the design of a vibration monitoring methodology for rolling element bearings (REB) based on neural network technology. This technology provides an attractive complement to traditional vibration analysis because of the potential of neural networks to operate in real-time mode and to handle data that may be distorted or noisy. The significance of this work relies of the fact that REB failures are responsible for a large fraction of the malfunctions in manufacturing equipment. The technique enhances traditional vibration analysis and provides a means of automating the monitoring and diagnosis of vibrating equipment.

关键词： Rolling bearings Condition monitoring Manufacturing Neural networks Computer vision Machinery Failure analysis Performance analysis Preventive maintenance Computerized monitoring

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：