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    235 research outputs found

    Multivariable Nonlinear Model Predictive Control for a Petroleum Refinery

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    This paper presents a detailed procedure to develop a mathematical modelling and simulation of a distillation column for a real feedstock from a condensate processing plant as an initial step of a project feasibility study. The mathematical model of overall dynamics is established on the dynamic continuity equations of the mass and the energy for each unit operation where the mass and the energy can accumulate. The paper provides a case study tutorial for a typical petroleum refinery engineering design. The dynamic analysis and controller for the distillation systems are extremely complicated due to their nonlinearity and multivariable. A nonlinear model predictive control (NMPC) computational scheme for with soften constraints is developed to verify the applicable ability of a direct NMPC controller for a distillation column dealing with the disturbance and the model-plant mismatch as the influence of the plant feed disturbances

    Time Variant Predictive Control of Autonomous Vehicles

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    This paper develops a linearized time variant model predictive control (MPC) approach for controlling autonomous vehicle tracking on feasible trajectories generated from the vehicle nonlinear ordinary differential equations (ODEs). The paper is an application of the results from computational schemes for nonlinear model predictive control published in (International Journal of Control, Automation and Systems 2011 9(5), 958-965; Mechatronics 2013, Trajectory Generation for Autonomous Vehicles, 615-626, Springer). The vehicle nonlinear dynamic equations are derived and solved in MPC optimizer. Solution for the closed loop control is obtained by solving online the vehicle dynamic ODEs. Simulations for the new schemes are presented and analysed

    Stabilizability Analysis of Multiple Model Control with Probabilistic Switching

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    In this paper, we derive some useful necessary conditions for stabilizability of multiple model control using a bank of stabilizing state feedback controllers. The outputs of this set are weighted by their probabilities as a soft switching system and together fed back to the plant. We study quadratic stabilizability of this closed loop soft switching system for both continuous and discrete-time hybrid system. For the continuous-time hybrid system, a bound on sum of eigenvalues of Pi is found when their derivatives of Lyapunov functions are upper bounded. For discrete-time hybrid system, a new stabilizability condition of soft switching signals is presented

    Psychological Relatedness Factor influencing Performance in Archery

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    This paper serves to explain the conceptual performance in archery that affected by psychological relatedness factor. Coaches, teammates and athlete play important role in every sport. Distinguishing and understanding each factor of psychological relatedness is important in determining the athlete’s performance. The inter-relatedness between coach and athlete is vital in bringing out the best performance of athletes. Despites of having advance tools and equipment in archery, however, archer’s performance still can be fluctuated, this may be due to the intangible factor which requires more study in the context. Thus this research served the theoretical explanation that may affect the athlete’s performance. This research suggests that factor such as coach; teammate and athlete should understand the way they communicate with each other, so that the interaction between them would not affect athletes’ performance. Therefore, future research should focus more on interrelationship existed between them and factors that might influence on athletes’ performance

    Detection of Ground Subsidence in the City of Durrës, Albania, by Persistent Scatterer Interferometry of Sentinel-1 Radar Imagery

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    Persistent Scatterer Interferometry (PSI) analysis of multi-temporal Sentinel-1 synthetic aperture radar (SAR) imagery was carried out to detect ground displacement in the city of Durrës, Albania. The analyzed interferometric stack consisted of fifty-eight Sentinel-1 images in ascending orbit covering the time period January 2017-December 2018. The results show a zone of ground subsidence with values of up to -30 mm/year that occur within and very close to the boundaries of the reclaimed lands of the Durrës marsh. Rapid urbanization, generally in the form of informal settlements, has taken place in this area in the last twenty years. In the Port of Durrës, a recently constructed breakwater shows high rates of ground settlement up to -30 mm/year, as well. The study is the first application of satellite radar imagery for the detection of ground displacement in the city of Durrës, Albania. Further monitoring is needed to better understand the ground subsidence and ground settlement processes that occur in the city of Durrës

    Design of a Robust Controller Using Sliding Mode for Two Rotor Aero-Dynamic System

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    This paper deals with two rotor aero-dynamic system (TRAS) which is a multi-input multi-output highly coupled nonlinear system, for creating a mathematical model based following the Lagrange’s Equations, and creating controllers for Sliding Mode Control and Linear Quadratic Regulator. The Sliding Manifold is designed by employing the reduced order representation. Linear Quadratic Regulator has been created by linearizing the nonlinear system acquired by creating the state space representation following the mathematical model. The signal tracking conditions of PID, SMC, and LQR have been discussed. Although the proposed control methodology has perfect actuation time, the tracking efficiency was not satisfactory. Therefore, a rework on the parametrization and introduction of filters, i.e. types of Kalman Filters have been proposed as a conclusion

    MATLAB-based Graphic User Interface for Monitoring and Control of Wireless Sensor Networks

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    Wireless sensor networks are becoming more popular to remote sensing applications due to their high mobility, speed, security, and cost effective. A smart sensing network can be setup with XBee modules, sensors, actuators connected to microcontrollers. However due to the limited memory and speed, embedded microcontrollers cannot perform completed and sophisticated calculations needed in a modern sensing system. Further, the design of the remote human-machine interface, interaction and control for this system is also a challenge. This paper develops a new application for a wireless smart sensor network using XBee modules and microcontrollers LPC2148. The network interfaces to the personal computer’s Matlab software for data archiving, processing and exchanging in order to improve the ability of calculation, visualization, and control of remote embedded microcontrollers via this wireless network

    Navigation Aid for Blind People

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    Globally blind and partially sighted people had the limited freedom to move forward alone outside of their residence due to some limitation of their supported guideline. But the time has been change and their supported guideline also improving day by day. In this paper proposed some logical technological idea which is implementable for making them more independence in outside environment. Two ultrasonic sensors will give the position (left or right) of the obstacle and LIDAR lite indicates them staircase and small height object through recognizable feedback through vibration motor and buzzer. Push button switch for SMS/call sending system help them to inform their family member in emergency situation. With the help of color sensor one specific line followed by them with predefine color will help them to go near buss top or shop which is very close to their house. For security issue a wireless door lock switch is placed on the stick. Identify their house door a color circle also recommended to fix in front of their house door. The main aim of this work is make their lifestyle smooth with the help of updated technology

    Avoid Deadlock Resource Allocation (ADRA) Model V VM-out-of-N PM

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    This paper presents an avoid deadlock resource allocation (ADRA) for model V VM-out-of-N PM since cloud computing is a new computing paradigm composed of grid computing, distributed computing and utility concepts. Cloud computing presents a different resource allocation paradigm than either grids or distributed systems. Cloud service providers dynamically scale virtualized computing resources as a service over the internet. Due to variable number of users and limited resources, cloud is prone to deadlock at very large scale. Resource allocation and the associated deadlock avoidance is problem originated in the design and the implementation of the distributed computing, grid computing. In this paper, a new concept of free space cloud is proposed to avoid deadlock by collecting available free resource from all allocated users. New algorithms are developed for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platform. An experiment is tested in CloudSim. The performance of resource pool manager is evaluated by using CloudSim and resource utilization and indicating good results

    Development of Dual Clutch Transmission model for Hybrid Vehicle

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    In the last decades, with respect to cost and fuel efficiency, dual clutch transmission (DCT) is extremely combined into automotive industry for its efficacy. This article is offerings an advanced approach to dual clutch transmission gearbox in conventional vehicle which is developed and presented along with a parallel-series hybrid vehicle model. The system is modelled in Simulink, MATLAB interface and Simulation results is used to confirm the validity of the offered model. comparative study is explained between offered HEV model and DCT conventional vehicle. The important implication of this project is to evaluate differences between DCT conventional vehicles and presented HEV in terms of fuel feeding and performance effectiveness

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