The Experts below are selected from a list of 786 Experts worldwide ranked by ideXlab platform
Jibril Mustefa - One of the best experts on this subject based on the ideXlab platform.
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Inverted Pendulum Control using NARMA-l2 with Resilient Backpropagation and Levenberg Marquardt Backpropagation Training Algorithm
2021Co-Authors: Jibril Mustefa, Tadesse Mesay, Hassen NuryeAbstract: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 input signals (step and random). The simulation result shows that the inverted pendulum with NARMA-L2 with resilient backpropagation controller to have a small rise time, settling time and Percentage Overshoot in the step response and having a good response in the random response too. Finally, the inverted pendulum with with NARMA-L2 with resilient backpropagation controller shows the best performance in the overall simulation result
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Robust Control Theory Based Performance Investigation of an Inverted Pendulum System using Simulink
Control Theory and Informatics, 2020Co-Authors: Jibril MustefaAbstract:In this paper, the performance of inverted pendulum have been Investigated using robust control theory. The robust controllers used in this paper are H∞ Loop Shaping Design Using Glover McFarlane Method and mixed H∞ Loop Shaping Controllers. The mathematical model of Inverted Pendulum, a DC motor, Cart and Cart driving mechanism have been done successfully. Comparison of an inverted pendulum with H∞ Loop Shaping Design Using Glover McFarlane Method and H∞ Loop Shaping Controllers for a control target deviation of an angle from vertical of the inverted pendulum using two input signals (step and impulse). The simulation result shows that the inverted pendulum with mixed H∞ Loop Shaping Controller to have a small rise time, settling time and Percentage Overshoot in the step response and having a good response in the impulse response too. Finally the inverted pendulum with mixed H∞ Loop Shaping Controller shows the best performance in the overall simulation result. Keywords: Inverted pendulum, H∞ Loop Shaping Design Using Glover McFarlane, mixed H∞ Loop Shaping DOI: 10.7176/CTI/9-04 Publication date: April 30th 202
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Modelling Design and Control of an Electromechanical Mass Lifting System using Optimal and Robust control Method
2020Co-Authors: Jibril Mustefa, Tadese Messay, Alemayehu EliyasAbstract:In this paper, an electromechanical mass lifter system is designed, analyzed and compare using optimal and robust control theories. LQR and μ -synthesis controllers are used to improve the lift displacement by comparison method for tracking the desired step and sinusoidal wave signals input. Finally, the comparison simulation result prove the effectiveness of the electromechanical mass lifter system with μ -synthesis controller for improving the rise time, Percentage Overshoot, settling time and peak value of tracking the desired step displacement signal and improving the peak value for tracking the desired sinusoidal displacement signal with a good performance
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Design and Simulation of Voltage Amplidyne System using Robust Control Technique
2020Co-Authors: Jibril Mustefa, Tadese Messay, Tadese, Eliyas AlemayehuAbstract:In this paper, modelling designing and simulation of a simple voltage amplidyne system is done using robust control theory. In order to increase the performance of the voltage amplidyne system with H optimal control synthesis and H optimal control synthesis via-iteration controllers are used. The open loop response of the voltage amplidyne system shows that the system can amplify the input 7 times. Comparison of the voltage amplidyne system with H optimal control synthesis and H optimal control synthesis via-iteration controllers to track a desired step input have been done. Finally, the comparative simulation results prove the effectiveness of the proposed voltage amplidyne system with H optimal control synthesis controller in improving the Percentage Overshoot and the settling time
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Speed Control of Ward Leonard Layout System using H infinity Optimal Control
2020Co-Authors: Jibril Mustefa, Tadesse Mesay, Alemayehu EliasAbstract: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 optimal control synthesis via -iteration controllers to track a desired step speed input have been done. Finally, the comparative simulation results prove the effectiveness of the proposed Ward Leonard layout system with H optimal control synthesis controller in improving the Percentage Overshoot and the settling tim
Hany M Hasanien - One of the best experts on this subject based on the ideXlab platform.
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rtds implementation of an improved sliding mode based inverter controller for pv system
Isa Transactions, 2016Co-Authors: Gazi Md Saeedul Islam, S. M. Muyeen, Ahmed Aldurra, Hany M HasanienAbstract:This paper proposes a novel approach for testing dynamics and control aspects of a large scale photovoltaic (PV) system in real time along with resolving design hindrances of controller parameters using Real Time Digital Simulator (RTDS). In general, the harmonic profile of a fast controller has wide distribution due to the large bandwidth of the controller. The major contribution of this paper is that the proposed control strategy gives an improved voltage harmonic profile and distribute it more around the switching frequency along with fast transient response; filter design, thus, becomes easier. The implementation of a control strategy with high bandwidth in small time steps of Real Time Digital Simulator (RTDS) is not straight forward. This paper shows a good methodology for the practitioners to implement such control scheme in RTDS. As a part of the industrial process, the controller parameters are optimized using particle swarm optimization (PSO) technique to improve the low voltage ride through (LVRT) performance under network disturbance. The response surface methodology (RSM) is well adapted to build analytical models for recovery time (Rt), maximum Percentage Overshoot (MPOS), settling time (Ts), and steady state error (Ess) of the voltage profile immediate after inverter under disturbance. A systematic approach of controller parameter optimization is detailed. The transient performance of the PSO based optimization method applied to the proposed sliding mode controlled PV inverter is compared with the results from genetic algorithm (GA) based optimization technique. The reported real time implementation challenges and controller optimization procedure are applicable to other control applications in the field of renewable and distributed generation systems.
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design optimization of pid controller in automatic voltage regulator system using taguchi combined genetic algorithm method
IEEE Systems Journal, 2013Co-Authors: Hany M HasanienAbstract:The optimum design of the proportional-integral-derivative (PID) controller plays an important role in achieving a satisfactory response in the automatic voltage regulator (AVR) system. This paper presents a novel optimal design of the PID controller in the AVR system by using the Taguchi combined genetic algorithm (TCGA) method. A multiobjective design optimization is introduced to minimize the maximum Percentage Overshoot, the rise time, the settling time, and the steady-state error of the terminal voltage of the synchronous generator. The proportional gain, the integral gain, the derivative gain, and the saturation limit define the search space for the optimization problem. The approximate optimum values of the design variables are determined by the Taguchi method using analysis of means. Analysis of variance is used to select the two most influential design variables. A multiobjective GA is used to obtain the accurate optimum values of these two variables. MATLAB toolboxes are used for this paper. The effectiveness of the proposed method is then compared with that of the earlier GA method and the particle swarm optimization method. With this proposed TCGA method, the step response of the AVR system can be improved.
Somanath Majhi - One of the best experts on this subject based on the ideXlab platform.
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pi pid controller design based on imc and Percentage Overshoot specification to controller setpoint change
Isa Transactions, 2009Co-Authors: Ahmad Ali, Somanath MajhiAbstract:In this work, the normalized Internal Model Control (IMC) filter time constant is designed to achieve a specified value of the maximum sensitivity for stable first and second order plus time delay process models, respectively. Since a particular value of the maximum sensitivity results in an almost constant Percentage Overshoot to controller setpoint change, an empirical relationship between the normalized IMC filter time constant and Percentage Overshoot is presented. The main advantage of the proposed method is that only a user-defined Overshoot is required to design a PI/PID controller. Simulation examples are given to demonstrate the value of the proposed method.
Yangquan Chen - One of the best experts on this subject based on the ideXlab platform.
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Experimental study of Fractional Order Proportional Integral (FO-PI) controller for water level control
2015Co-Authors: Varsha Bhambhani, Yangquan ChenAbstract:Abstract — Based on our previously developed tuning procedure for fractional order proportional integral controller (FO-PI), we present in this paper an extensive comparative experimental study on coupled-tank liquid level controls. Our experimental study consists of four steps, they are mathematical modeling of the plant, identification of plant parameters, water-level controller design and comparisons in Simulink [software (s/w) mode] and final experimental verification and comparisons in real-time [hardware (h/w) mode]. The FO-PI controller is compared with Ziegler Nichol’s (ZN) and Modified Ziegler Nichol’s (MZN) conventional integer order PI controllers in terms of load disturbance rejection, changes in plant dynamics and setpoint tracking. Experimental results confirmed that FO-PI controller is a promising controller in terms of Percentage Overshoot and system response in liquid-level control in face of nonlinearities introduced by pumps, valves and sensors. Index Terms — Fractional calculus, fractional order controller, pro-portional and integral control, controller tuning, coupled tank, liquid level control. I
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experimental study of fractional order proportional integral fopi controller for water level control
Conference on Decision and Control, 2008Co-Authors: Varsha Bhambhani, Yangquan ChenAbstract:Based on our previously developed tuning procedure for fractional order proportional integral controller (FO-PI), we present in this paper an extensive comparative experimental study on coupled-tank liquid level controls. Our experimental study consists of four steps, they are mathematical modeling of the plant, identification of plant parameters, water-level controller design and comparisons in Simulink [software (s/w) mode] and final experimental verification and comparisons in real-time [hardware (h/w) mode]. The FO-PI controller is compared with Ziegler Nichol?s (ZN) and Modified Ziegler Nichol?s (MZN) conventional integer order PI controllers in terms of load disturbance rejection, changes in plant dynamics and setpoint tracking. Experimental results confirmed that FO-PI controller is a promising controller in terms of Percentage Overshoot and system response in liquid-level control in face of nonlinearities introduced by pumps, valves and sensors.
Jin Jiang - One of the best experts on this subject based on the ideXlab platform.
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An Inverse Control-Based Set-Point Function for Steam Generator Level Control in Nuclear Power Plants
IEEE Transactions on Nuclear Science, 2011Co-Authors: Mahmood Akkawi, Jin JiangAbstract:In this paper, the water level control problem of U-Tube Steam Generators (UTSG) of Nuclear Power Plants (NPP) is addressed through the design of an innovative set-point function; hence, the original architecture of the controller is retained for easy industry acceptance. The set-point function is synthesized based on the inverse-control theory, which is able to improve the transient performance of the UTSG level subject to power adjustments. Based on the lead time between the power adjustment decision and the actual initiation of the adjustment, the proposed set-point function can apply appropriate control on the feed-water flow rate preemptively. This preemptive control action allows the steam generator to prepare itself for the upcoming power change, i.e., steam flow-rate change, to minimize the transient effects. Detailed design and simulation processes are described based on Irving UTSG model under the entire operating power range. The simulation studies have shown that the proposed scheme is capable of keeping the water level within the admissible range effectively. When compared with a swell-based set-point function, the proposed scheme can reduce the Percentage Overshoot and undershoot by as much as 35.4% and 69.7%, respectively.
