21 found
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  1.  78
    Inverted Pendulum Control Using NARMA-L2 with Resilient Backpropagation and Levenberg Marquardt Backpropagation Training Algorithm.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (10):324-330.
    In this study, the performance of inverted pendulum has been Investigated using neural network control theory. The proposed controllers used in this study are NARMA-L2 with Resilient backpropagation and Levenberg Marquardt backpropagation algorithm controllers. The mathematical model of Inverted Pendulum on a Cart driving mechanism have been done successfully. Comparison of an inverted pendulum with NARMA-L2 with Resilient backpropagation and Levenberg Marquardt backpropagation algorithm controllers for a control target deviation of an angle from vertical of the inverted pendulum using two (...)
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  2.  77
    Nonlinear Active Suspension System Control Using Fuzzy Model Predictive Controller.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (9):289-295.
    Recent years, active suspension system has been widely used in automobiles to improve the road holding ability and the riding comfort. This study presents a new fuzzy model predictive control for a nonlinear quarter car active suspension system. A nonlinear dynamical model of active suspension is established, where the nonlinear dynamical characteristic of the spring and damper are considered. Based on the proposed fuzzy model predictive control method is presented to stabilize the displacement of the active suspension in the presence (...)
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  3.  64
    Adaptive Control Using Nonlinear Autoregressive-Moving Average-L2 Model for Realizing Neural Controller for Unknown Finite Dimensional Nonlinear Discrete Time Dynamical Systems.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (3):130-137.
    This study considers the problem of using approximate way for realizing the neural supervisor for nonlinear multivariable systems. The Nonlinear Autoregressive-Moving Average (NARMA) model is an exact transformation of the input-output behavior of finite-dimensional nonlinear discrete time dynamical organization in a hoodlum of the equilibrium state. However, it is not convenient for intention of adaptive control using neural networks due to its nonlinear dependence on the control input. Hence, quite often, approximate technique are used for realizing the neural supervisor to (...)
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  4.  40
    Comparison of a Nonlinear Magnetic Levitation Train Parameters Using Mixed H 2/H Infinity and Model Reference Controllers.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - ACE Journal of Computer Science and Engineering 1 (2):17-22.
    To improve the riding performance and levitation stability of a high‐speed magnetic levitation (maglev) train, a control strategy based on mixed H 2/H4 with regional pole placement and model‐reference controllers are proposed. First, the nonlinear maglev train model is established, then the proposed system is designed to observe the movement of a suspension frame and a control strategy based on mixed H 2/H4 with regional pole placement and model‐reference control method are proposed. Test and analysis of the proposed system has (...)
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  5.  37
    Temperature Control of a Steam Condenser Using NARMA-L2 Controller.Mustefa Jibril, Mesay Tadesse & Nuriye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (10):318-323.
    This study investigates the outlet temperature control for the design of steam condenser. The comparison has been made for a step drop in the steam condenser temperature set point using MATLAB/ Simulink environment for the steam condenser with NARMA-L2 using Levenberg-Marquardt algorithm and NARMA-L2 using resilient backpropagation algorithm controllers. The steam condenser with NARMA-L2 using Levenberg-Marquardt algorithm controller presented excellent and superior dynamic performance in response to the temperature drop in settling time. The overall simulation results demonstrated that the steam (...)
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  6.  28
    Performance Investigation of AC Servomotor Position Control Using Fuzzy Logic and Observer Based Controllers.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2021 - Report and Opinion Journal 13 (1):1-5.
    An AC servomotor which is mostly a two-phase induction motor with two stator field coils placed 90 electrical degrees apart used for controlling position, speed and acceleration in manufacturing industries. In this paper, a two-phase induction motor has been designed with a fuzzy logic and observer based controllers to improve the performance of the system. Comparison of the AC servomotor with the proposed controllers for tracking a step and a square desired position signal input has been done using Matlab/Simulink toolbox (...)
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  7.  22
    Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for Electromagnetic Space Vehicle Suspension System.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (10):313-317.
    Electromagnetic Suspension System (EMS) is mostly used in the field of high-speed vehicle. In this study, a space exploring vehicle quarter electromagnetic suspension system is modelled, designed and simulated using Neural network-based control problem. NARMA-L2, Model reference and predictive controllers are designed to improve the body travel of the vehicle using bump road profile. Comparison between the proposed controllers is done and a promising simulation result have been analyzed.
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  8.  18
    Modeling and Simulation of a Horizontally Moving Suspended Mass Pendulum Base Using H Infinity Optimal Loop Shaping Controller with First and Second Order Desired Loop Shaping Functions.Mustefa Jibril, Mesay Tadesse & Reta Degefa - 2021 - Report and Opinion Journal 13 (1):16-19.
    In this paper, a horizontally moving suspended mass pendulum base is designed and controlled using robust control theory. H  optimal loop shaping with first and second order desired loop shaping function controllers are used to improve the performance of the system using Matlab/Simulink Toolbox. Comparison of the H  optimal loop shaping with first and second order desired loop shaping function controllers for the proposed system have been done to track the desired angular position of the pendulum using step (...)
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  9. Design and Control of a Gantry Crane System with Limited Payload Angle Using Robust and State Feedback Controllers.Mustefa Jibril, Mesay Tadesse & Reta Degefa - 2020 - Journal of Engineering and Applied Sciences 15 (24):3770-3777.
    In this study, the performance improvement of a payload angle deflection of a gantry crane has been studied and simulated using MATLAB/Simulink toolbox successfully. H2 optimal and observer based controllers has been used to minimize the payload angular deflection by controlling the trolley position. The gantry crane has been compared with the proposed controllers to track the reference trolley position using step and sine wave signals and a promising results have been achieved.
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  10. Comparison of PID and MPC Controllers for Continuous Stirred Tank Reactor (CSTR) Concentration Control.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - International Research Journal of Modernization in Engineering Technology and Science 2 (4):133-140.
    Continuous Stirred Tank Reactor (CSTR) is amajorarea in process, chemical and control engineering. In this paper, PID and MPC controllers are designed for CSTR in order to analyze the output concentration of the system by comparing the two proposed systems using Matlab/Simulink. Comparison have been made using two desired concentration input (Random reference and step) signals with and without input side disturbance (Flow rate error). The simulation result shows that the continuous stirred tank reactor with MPC controller have better response (...)
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  11. Comparison of Neural Network Based Controllers for Nonlinear EMS Magnetic Levitation Train.Mustefa Jibril, Elias Alemayehu & Mesay Tadesse - 2020 - International Journal of Advance Research and Innovative Ideas in Education 6 (2):801-807.
    Magnetic levitation system is operated primarily based at the principle of magnetic attraction and repulsion to levitate the passengers and the train. However, magnetic levitation trains are rather nonlinear and open loop unstable which makes it hard to govern. In this paper, investigation, design and control of a nonlinear Maglev train based on NARMA-L2, model reference and predictive controllers. The response of the Maglev train with the proposed controllers for the precise role of a Magnetic levitation machine have been as (...)
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  12. State and Disturbance Estimation of a Linear Systems Using Proportional Integral Observer.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - International Research Journal of Modernization in Engineering Technology and Science 2 (4):111-118.
    This paper offers a short survey of linear systems Proportional-Integral-Observer design. This observer has the capacity to estimate simultaneously the states and unknown inputs which include disturbances or model uncertainties appearing on the system. The design of state and output estimation using PO and state, output and disturbance estimation using PIO is done using Matlab/Simulink successfully. The simulation is done for estimating using PO and PIO and the results proved that estimates the state variables and output correctly when there is (...)
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  13. Design and Control of EMS Magnetic Levitation Train Using Fuzzy MRAS and PID Controllers.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - International Journal of Advance Research and Innovative Ideas in Education 6 (2):1023-1031.
    In this paper, a Magnetic Levitation (MAGLEV) train is designed with a first degree of freedom electromagnetbased totally system that permits to levitate vertically up and down. Fuzzy logic, PID and MRAS controllers are used to improve the Magnetic Levitation train passenger comfort and road handling. A Matlab Simulink model is used to compare the performance of the three controllers using step input signals. The stability of the Magnetic Levitation train is analyzed using root locus technique. Controller output response for (...)
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  14.  37
    Design and Control of a Hydraulic Based Tire Changer Using H Infinity and H2 Optimal Synthesis Controllers.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - Botany Research Journal 13 (3):14-19.
    In this study, the design and control of a hydraulic system based tire changer machine have been analyzed and simulated using MATLAB/Simulink Toolbox successfully. The machine have a displacement input which is a leg pedal displacement in order to push the piston of the pump to fed the motor with a pressured hydraulic fluid to rotate the tire with an angular speed to mount and dismount it. Augmentation based H4 and H2 optimal synthesis controllers have been used to improve the (...)
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  15.  36
    Performance Investigation of a Permanent Magnet DC Machines Using Robust Control Technique.Mustefa Jibril, Mesay Tadesse & Fiseha Bogale - 2020 - Journal of Engineering and Applied Sciences 15 (24):3783-3787.
    In this study, the design and performance investigation of the permanent magnet machines have been done to increase the mechanical and electrical outputs improvement of the systems. A Permanent Magnet DC Motor (PMDM) and Generator (PMDG) have been modelled and designed to improve the angular position and generated current respectively. In this research, augmentation based H2 optimal and H4 synthesis controllers have been designed as a controller for the two systems and a comparison between the proposed controller for tracking a (...)
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  16.  24
    Loudspeaker Noise Disturbance Control Using Optimal and Robust Controllers.Mustefa Jibril, Mesay Tadesse & Fiseha Bogale - 2020 - Journal of Engineering and Applied Sciences 15 (24):3778-3782.
    Noise reduction is the major issue in the loudspeaker for the application of the musical instruments and related areas. In this study, a noise disturbance control of a loudspeaker with optimal and robust controllers has been done successfully. The noise of the loudspeaker has been analyzed by simply track a reference cone displacement with the actual cone displacement. Static output feedback and H4 optimal loop shaping controllers have been used to compare the actual and reference cone displacements by using a (...)
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  17.  23
    Position and Speed Control of 2DOF Industrial Robotic Arm Using Robust Controllers.Mustefa Jibril, Mesay Tadesse & Reta Degefa - 2020 - Journal of Engineering and Applied Sciences 15 (24):3765-3769.
    In this study, a 2 DOF industrial robotic arm is designed and simulated for elbow and wrist angle and velocity performance improvement using robust control method. Mixed H2/H infinity synthesis with regional pole placement and H2 optimal controllers are used to improve the system output. The open loop response of the robot arm shows that the elbow and wrist angles and velocities need some improvement. Comparison of the proposed controllers for an impulse and step input signals have been done and (...)
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  18.  21
    Modeling and Performance Analysis of Shell Tube Surface Condenser Under Lumped Parameters Using Fuzzy Self-Tuning PI Controller.Mustefa Jibril, Mesay Tadesse, Nurye Hassen & Yonas Abebe - 2020 - International Journal of Electronics and Electrical Engineering Systems 3 (4):1-8.
    Shell tube surface condenser (STSC) is a heat exchanger system that exchange a high pressure steam into low pressure water and it is widely used in applications like textile industries and nuclear power plants. The modelling of the system has been established based on lumped parameters. In this paper, a fuzzy expert system is developed in order to improve the performance of the condenser. A pressure feedback system has been developed to analyze the effect of the condenser output temperature, circulating (...)
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  19.  19
    Performance Investigation of a Two Link Manipulator Stability in the Presence of Torque Disturbance Using Optimal Sliding Mode Controller.Mustefa Jibril, Mesay Tadesse & Reta Degefa - 2020 - Journal of Engineering and Applied Sciences 15 (24):3788-3792.
    In this study, a two-link manipulator system stability performance is designed and analyzed using optimal control technique. The manipulator system is highly nonlinear and unstable. The system is modelled using Lagrangian equation and linearized in upward unstable position. The closed loop system is designed using optimal sliding mode controller. The system is compared with a known PID controller with an impulse applied and disturbance torques and a promising results has been obtained.
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  20.  14
    Speed Control of Ward Leonard Layout System Using H Infinity Optimal Control.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - Researcher Journal 12 (11):35-39.
    In this paper, modelling designing and simulation of a Ward Leonard layout system is done using robust control theory. In order to increase the performance of the Ward Leonard layout system with H  optimal control synthesis and H  optimal control synthesis via -iteration controllers are used. The open loop response of the Ward Leonard layout system shows that the system needs to be improved. Comparison of the Ward Leonard layout system with H  optimal control synthesis and H (...)
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  21.  12
    Design and Control of a Vertically Moving Base Inverted Pendulum Using PI and PID Controllers.Mustefa Jibril, Mesay Tadesse & Reta Degefa - 2020 - New York Science Journal 13 (11):6-9.
    In this paper, a vertically moving base inverted pendulum control analysis has been done using Matlab/Simulink Toolbox. Because the vertically moving base inverted pendulum system is nonlinear and highly unstable, a feedback control system is used to make the system controlled and stable. A PI and PID controllers are used to improve the stability of the pendulum. Comparison of the vertically moving base inverted pendulum using PI and PID controllers for tracking a desired angular position of the system using a (...)
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