artificial neural network application in control system ppt

... direct inverse and unsupervised Supervised learning uses an existing controller or human feedback in training the neural network In order to train the neural network to imitate an existing controller ... adaptive learning takes place In our case, a neural network controller could be trained to control an inverted pendulum system offline say in the simulink environment After training, the network weights ... processing 3 Artificial neural networks (ANN) have memory The memory in neural networks corresponds to the weights in the neurons Neural networks can be trained offline and then transferred into

Ngày tải lên: 24/09/2016, 17:26

... faulty phase is used for training the BPNN for obtaining the fault location All the power system networks involved in the study have been simulated in MATLAB Simulink environ- ment The feature ... presently Associate Professor in the Electrical Engineering Department of Narula Institute of Technology, Kolkata, India She has obtained her graduation in Electrical Engineering from B.E College, Shibpur, ... Degree level and as an administrator (acting principal) at the diploma engineering level, since 2004 She has also served as HOD, Electrical Engineering Department at Narula Institute of Technology

Ngày tải lên: 29/12/2022, 10:40

... consisting of 122 samples During neural network training, the data set is divided into 80% data for training and 20% data for testing Data were standardized before training The neural network ... of Artificial Neural Network training methods Training algorithm for ANN Lenvenberg-Marquardt (trainlm) Bayesian (trainbr) Scaled Conjugate Gradient (trainscg) Resillient Backpropagation (trainrp) ... testing accuracy comparison of the ANN training algorithms From the data results Figure 6 shows that in the case of identifying the load shedding strategy, the training method using the neural network

Ngày tải lên: 18/02/2023, 08:20

... lateral and longitudinal network with inertial coupling between the networks taken into consideration These networks trained individually by making it MIMO model Basically system identification ... IEEE International Conference on Control Application, 2000 pp 808-813 Trang 1320 Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network The practice of maintenance includes ... Parthasarathy, “Identification and Control of Dynamical Systems Using Neural Networks” IEEE transaction on Neural Networks, 1(1), 1990 [24] Magnus Norgaard, “Neural Network Based System Identification Tool

Ngày tải lên: 20/06/2014, 00:20

... https://en.wikipedia.org/wiki/Artificial_neural_network • https://en.wikipedia.org/wiki/Evolutionary_algorithm • ANN, EA : Aforge.Net documents • Dr Saceed Shiry, Intelligent Decision-Making Support Systems Trang ... một tựa game mới • Phạm vi tìm hiểu: Artificial Neural Network- based Decision Support System, Evolutionary Algorithms, thị trường game online tại VN • Ý nghĩa thực tiễn • Hỗ trợ doanh nghiệp game ... cấu hình game ArcheAge • Cấu hình đề nghị: • Hệ điều hành: 32-bit hoặc 64-Bit Windows XP SP3, Vista SP1, Win7 SP1, Win8/8.1 Trang 6Đồ họa• Chuyển động nhân vật • Hình ảnh nhân vật và môi trường

Ngày tải lên: 24/08/2015, 22:46

... of different neural network modelling approaches. Model inputs Fuel flow Total fuel supplied (from beginning) (kg) Fuel supplied in the last 10 min (kg) Fuel supplied in the last 10 min (kg) Fuel ... char, ash and minor contaminates) called ‘‘syngas’’, using gasifying agents[1] H2and CO contain only around 50% of the energy in the gas while the remained energy is contained in CH4 and higher ... be found in the case where the process tem-perature progression (desired output data in neural network training procedure) is function (Eq (7)) of fuel and air injected in the last 10 min together

Ngày tải lên: 01/08/2016, 09:32

... on artificial neural networks is that it does not require the mathematical description of the phenomena involved in the process, and might therefore prove useful in simulating and up-scaling ... these input and output variables, obtained from published experimental data, are shown in Table 1for CFB gasifiers and inTable 2for BFB gasifiers 2.2 Artificial neural networks topology An artificial ... necessary to take into account that in this case eight inputs are considered as shown in Eq.(4): The relative influence of the input variables was also evaluated using Eq.(3) as in the CFB gasifiers’

Ngày tải lên: 02/08/2016, 09:34

... prediction models using artificial neural network (ANN) during turning of free machining steel and reported that the cutting speed and feed rate had significant effects in reducing the surface roughness, ... machining mild steel using RSM with TiN-coated WC cutting tools It was found that, the surface roughness was decreased with an increase in cutting speed and increased as feed elevated An increase ... roughness in machining AISI 1030 steel using coated carbide tool (TiC/ Al2O3/TiN) Feed rate and insert nose radius were main influencing factors on the surface roughness Depth of cut was not more informative

Ngày tải lên: 14/05/2020, 22:03

... Maritime Transportation System Engineering Van-Suong Nguyen Trang 3A StudyonAn AutomaticShip Berthing Based on Artificial Neural Network Controller Using Head-up Coordinate System Supervisor ... Automatic Ship Berthing Based on Artificial Neural Network Controller Using Head-up Coordinate System Van-Suong Nguyen Department of Maritime Transportation System Engineering, Graduate School ... automatic ship berthing using artificial neural network, some new ideas are proposed in this research Firstly, head-up coordinate system is suggested to consider two new inputs for neural controller,

Ngày tải lên: 18/05/2021, 22:42

... proper input for smoothing NN In fact, the inputs in the smoothing NN should be defined according to this contextual information used in this tracking process The combined two stages for neural ... tracking (Figure 6) make final estimates more accurate and robust than trying to make the combined work into a single neural network Also training times showed to be lower than using a single network ... Samples shown inFigure 7have been obtained from a unique trained neural network tracking entity (prediction NN and smoothing NN for𝑋 and 𝑌 component, four trained neural networks) Axis incorporates

Ngày tải lên: 24/12/2022, 14:02

... products during processing and distribution ANNs hold a great deal of promise for modeling complex tasks in process control and simulation and in applications of machine perception including machine ... based feed forward networks meaning that all the training samples are stored in the network It possess a special property that they do not require iterative training 3 Neural network vs statistical ... space, called a baking curve, along which the Trang 12bake colour changes during the baking process Combining these results, an automated bake inspection system with artificial neural networks that

Ngày tải lên: 20/06/2014, 00:20

... avoid over-training network Simulation of the samples 256 Artificial Neural Networks - Industrial and Control Engineering Applications indicate that artificial neural network built ... shown in Table 3 Fig 8 Actual structure of neural network 254 Artificial Neural Networks - Industrial and Control Engineering Applications Hidden... checking sample training ... transient... rate is also rising 2 48 Artificial Neural Networks - Industrial and Control Engineering Applications It adopts the training and emulating alternate work model to

Ngày tải lên: 20/06/2014, 00:20

... sparse, therefore it can be partitioned in a systematic way Considering a system in which there are G generator nodes that participate in selling power and remaining L= n-G nodes as loads, then it ... disadvantage, however, as single-layer linear networks are just as capable as multilayer linear networks For every multilayer linear network, there is an equivalent single-layer 1,1 1 1,2 2 Like ... 1This network is sometimes called a MADALINE for Many ADALINEs Note that the figure on the right defines an S-length output vector a The Widrow-Hoff rule can only train single-layer linear networks

Ngày tải lên: 20/06/2014, 00:20

... successful modelling of systems behaviour In the field of neural network modelling the training data is crucial for creating a good generalising network covering a broad range of the systems behaviour ... cases Their main implementation is seen in control design in the area of engine operation Hence, in engine development neural networks are used for control problems such as fuel injection, output ... However, missing out extreme states in the operation may result in a lack of training information Neural networks cannot extrapolate states that are not covered by the training data as shown in the

Ngày tải lên: 20/06/2014, 00:20

... network is trained as the inverse of the process: g− θ Z will be used instead of g− 1(θ,Z N) To obtain the inverse model in the generalized training method, a network is trained off-line to minimize ... chapter Before considering the actual control system, an inverse model must be trained There are tow ways of training the model; generalized training and the specialized training This chapter uses ... continuous non-linear functions to within an arbitrarily small error margin Hiddenlayer j Inputlayer i Outputlayer Fig 3 A two layer artificial neural network 3.2 The training agorithm In developing

Ngày tải lên: 20/06/2014, 00:20

... by solving a constrained instantaneous sum-rate maximization prob-lem.( There are some instantaneous constraints in the above optimization problem These constraints remain the same constraint has ... robust energy queu-ing delay for squeu-ingle-user squeu-ingle-carrier systems Similarly packets over a time-slotted single-user wireless link Perhaps in terms of problem formulation In this paper, ... by the MRS in the next time slot Hence, Moreover, since we are maximizing the instantaneous maximized In the next section, we develop the Minimum Rate Scheduler to deriveR t,kmin 3 Minimum Rate

Ngày tải lên: 21/06/2014, 11:20

... Basics and NetworkingMedia Chapter 3 After reading this chapter and completing the exercises, you will be able to: ■ Explain basic data transmission concepts, including full duplexing, attenuation, ... properly routed and interpreted by the network Forexample, the Data Link layer header and trailer, the Network layer addressing information,and the Transport layer flow control information added ... radio frequencies used in networking later inthis chapter.The distance between corresponding points on a wave’s cycle is called its wavelength Wave-lengths can be expressed in meters or feet A

Ngày tải lên: 07/07/2014, 09:20

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in a separate file as a sequence of floating point numbers in binary format, using 4 ... the console application for backprop training are optional. You may use them for validation and testing of your network, for input data normalization, and error limits during training process. >ann1dn ... layer: ANNetwork::ANNetwork(const wchar_t *fname); ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer); int nerons_per_layer[4] = {128, 64, 32, 10}; ANNetwork *ann = new ANNetwork(4,...

Ngày tải lên: 28/04/2014, 10:10

... manufacturing in the future [1, 2]. FIGURE 2.1 Hierarchy of neural network applications in intelligent manufacturing. Neural Network Applications in Intelligent Manufacturing System Modeling and ... developed a neural- network/ expert system for engine fault diagnosis in an integrated steel industry. A multilayer feedforward neural network was trained with engine fault information including maintenance ... preserving the quality of consolidation. Ding et al. [85] applied a neural network for predicting and controlling a leadscrew grinding process. The neural network was a multilayer neural network...

Ngày tải lên: 17/12/2013, 06:15

... Kevin Craig DC Motor / Tachometer Closed-Loop Speed Control System 4 4. Mathematical Model The steps in mathematical modeling are as follows: ã Define System, System Boundary, System Inputs ... determine the performance of the final, closed-loop system. The experimental testing is performed in both the frequency domain and the time domain in order to determine the closed-loop system ... needed in feedforward control. It is evident, therefore, that the measurement subsystem is an important part of a control system. The measurement subsystem in a control system contains sensors...

Ngày tải lên: 25/01/2014, 13:20