TULTECH Journals
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New Approach for a Fault Detect Model-Based Controller
No full textIn this paper, we present a design of a new fault detect model-based (FDMB) controller system. The system is aimed to detect faults quickly and reconfigure the controller accordingly. Thus, such system can perform its function correctly even in the presence of internal faults. An FDMB controller consists of two main parts, the first is fault detection and diagnosis (FDD); and the second is controller reconfiguration (CR). Systems subject to such faults are modelled as stochastic hybrid dynamic model. Each fault is deterministically represented by a mode in a discrete set of models. The FDD is used with interacting multiple-model (IMM) estimator and the CR is used with generalized predictive control (GPC) algorithm. Simulations for the proposed controller are illustrated and analysed
Modelling and Control of Hybrid Vehicle
No full textEnvironmental pollution is one the major issue for entire world. Burning of petroleum and gas in combustion engines of vehicles is one the biggest sources of harmful environmental pollution. To keep in mind this issue, hybrid technology is evolving as one of the latest way to get rid of this problem but obviously it will take much time to remove almost 70% gasoline engines overall in the world. In this study, same sort of issue is discussed. Improvement of fuel consumption in automobile by increasing the number of gears is explained in this paper with graphs. Parallel hybrid electric vehicle is modelled by using Matlab/simulink for 4th and 6th gear automatic transmission. 4th gear transmission is not much fuel economic due to which number of gears are increased up to 6 to improve the fuel economy of hybrid vehicle. The logic behind the increment of gears is also explained very well. Improvement of fuel consumption and mileage of vehicle is presented by theoretical and also by comparing the graphs by using different drive cycles for 4th and 6th gears automatic transmissions
Recognition of Bearing Type by Spectrum Analysis
No full textThe methods of bearing condition analysis advanced much since the processor technologies had enormously raised the computational power. Both smaller and larger platforms have gained in computational speed. The manufacturers of portable vibration measurement devices have got the opportunity to apply such efficient but heavy tools as digital filters, convolution, fast Fourier transforms with better resolution, wavelet transforms, pattern recognition or even neural networks with 2D- and 3D-representation of data. But even then obtaining of good results is limited with multiple conditions as shown in [1]. Having solved the problem with CPU power it may seem that there are no limitations to use the hard methods. But, the electronic component’s lifetime still has the limits: read/write operations and etc. Although these limits are high, it is always good to prolong the lifetime of entire device or reduce its power consumption, or increase the diagnostic speed by using a less demanding algorithm at least at some parts of diagnostic procedure. The laboratories of bearing analysis which are commonly the part of bearing production enterprises have the best opportunities to test the bearings. The type is known, the dimensions are known. The test SW is tuned to the bearing type and the detailed diagnosis gives the best outcome. It is unlike in field service where the bearing type is unknown. Knowing it in the field would help to tune the vibrometer (as in laboratory) and then to switch on the heavy diagnostic methods. The purpose of this work was to create a prototype of software and the bearing model. The model would have the features enough to be determined by the frequency analysis of signal mix and recognized as a certain bearing type
Study on Modeling and Simulation of HEV for Optimal Fuel Economy
No full textHybrid electric vehicle uses internal combustion engine (ICE) and electrical power for propulsion. This study will provide information about the series parallel hybrid vehicle architecture. The different components; which includes the electric motor, generator, internal combustion engine, control system, batteries, DC to DC converter, vehicle dynamics , planetary gear of the series parallel hybrid vehicle will be modelled using matlab simulink . Also analysis will be carried out using standard vehicle curb weight and tire rolling radius from manufacturers to optimized the series parallel hybrid vehicle for better fuel economy. Finally simulation will be run for four different drive cycles (FTP75, NYCC, HWFET, EUDC) comparing the HEV model and the optimized HEV model
Trajectory Generation and Control of Autonomous Vehicles
No full textThe objective of this paper is to find feasible path planning algorithms for non-holonomic vehicles subject to their real dynamical constraints. Symmetric polynomial trajectory generation is proposed as reference. Then a trajectory tracking controller for a nonlinear vehicle model is developed, linearizing and discretizing the model, using a linear-quadratic regulator (LQR) control algorithm. Results of numerical simulations are shown. At the end, other controllers are presented in order to continue this work and compare their performances
Glove for Augmented and Virtual Reality
No full textThis work is focused on developing and prototyping a haptic feedback system glove, which will be able to enable interaction of real arm movements with 3D computer models. This glove will be developed using only IMU for human hand data gathering. This approach should increase accuracy of device and give additional flexibility in interaction with different object. For this purpose, IMU should be tested and calibrated using complementary filters. The design and implementation of hardware and software as well as proof-of-concept experiments are presented
Total Global Solar Radiation Estimation Models and Applications: A review
No full textIn many developing countries, main parameters are measured at meteorological stations, but in some stations solar radiation measurements may not be available. Solar radiation measurements may not be performed due to equipment installation, maintenance, repair costs and calibration requirements. The best way to achieve a physical value is to measure. Estimation models are used to obtain solar radiation values where measurements are not exist. These models allow estimating global solar radiation with the aid of other measured meteorological parameters. In this study, a literature review is given, the global solar radiation estimation models and their applications are mentioned
Analysis of Computer Simulation Software’s for Energy Audit in Albania
No full textEnergy efficiency is one of the biggest challenges that energy sector is actually facing in Albania. Due to the design and construction of the existing building stock which is not in compliance with the laws and their regulatory, regarding energy performance, the residential sector has the highest electricity consumption with a share of 60% of the total electricity in the country, representing 30% of the total energy consumption. One of the best ways toward energy efficiency in buildings is through energy audit process. The aim of this paper is to present the detailed audit of a residential building by assessing the suitability of three different energy simulation tools for energy audit simulations in Albania. Applied simulation tools are: RETScreen Expert, iSBEM and Termolog. Based on data for a sample residential block located in Tirana, three different simulation models are developed using these three simulation tools. All three cases of simulation are referred to this residential block, in order to be able to compare the outputs obtained using the different tools. Furthermore, the benefits and drawbacks of the tools are analyzed based on the required input data and output data. Based on the result’s analysis, challenges of using each software for Albanian conditions and other consideration, this paper concluded in selecting the appropriate software to recommend for energy audit process in Albania
Automatic Control of Clutch Engagement and Slip for Hybrid Vehicle
No full textThis paper develops a design of an automatic controller of clutch engagement and slip regulation for hybrid electrical vehicle (HEV) using fuzzy logic. The motivation for the use of fuzzy logic control in this study is its ability to handle the system based on uncertain and imprecise input information. Fuzzy logic can reduce the difficulty of mathematical modeling for complex system and can provide a smooth and fast clutch engagement. Fuzzy logic controller can be also used to reduce the vehicle vibration via regulating the slip between two clutch disks. Simulations for the new controller are conducted with Matlab Simulink. Results show that the system can achieve clutch engagement with low jerk and high comfort with considerable vibration reduction.
 
Tensile Testing Analysis of the HRB400 Steel Reinforcement Bar
No full textMany of the engineering applications have been focused on the tensile testing of steels for several reasons and wide usage. Mechanical properties of the steel plays a key role for ensuring the quality of this material after the manufacturing process. One of the important tests for determination the mechanical properties of steel has been focused on the results of the tensile test. Based on it, we can have important information for selecting steel material in different engineering applications such as civil engineering for constructions application, manufacturing industries for machinery details etc. The tensile properties has been used and measured during development of new material or other processes. In our research work we have been focused on the usage of the tensile testing analysis of HRB400 Steel Bar after heat treatment process