18 results with keyword: 'optimal pid controller design for avr system'
From the simulation and comparison results, we can see that the proposed fitness function can let the RGA and PSO algorithm find a high-quality PID control parameter set effectively
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From the simulation and comparison results, we can see that the proposed fitness function can let the RGA and PSO algorithm find a high-quality PID control parameter set effectively
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In this study therefore, the objective is to consider a generator AVR system without PID controller and with PID controller, where the PID controller was tuned with a view
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Moreover, the frequency response, zero-pole, and robustness analysis performed on the PIDD 2 controller showed more robust stability and better performance characteristics than the
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strate that the new tuning method using continuous fire- fly algorithm can improve the control system performance in terms of time domain speicfications and setpoint track- ing
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Optimal Tuning of PID Controller using Bacteria Foraging based Particle Swarm Optimization Algorithm, Int. Intelligent Bacterial Foraging Optimization Technique to Economic
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This thesis presents a novel design method for determining the PID controller parameters of an AVR system using combined Genetic Algorithm (GA), Radial-Basis
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The proposed objective function is tested in the PID controller design for an automatic voltage regulator system (AVR) application using particle swarm optimization algorithm..
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Abstract: In this Paper, a novel meta-heuristics algorithm, namely the Firefly Algorithm (FA) is applied to the Proportional Integral Derivative (PID) Controller parameter tuning
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In this study a novel design method for determining the optimal signal to noise ratio algorithm and particle swarm optimization (SNR-PSO) parameters for design the optimal
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The proposed PID controller has been designed using one point frequency response matching as well as pole placement technique, while PIDA controller has been designed using
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Paliwal, “Optimal design of pida controller using harmony search algorithm for avr power system,” in 6th IEEE International Conference on Power Systems, (ICPS-2016) , 2016, pp.
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In this research work, Cuckoo search (CS) and particle swarm optimization (PSO) algorithms are proposed to find the optimal parameters of PID controller in the control of
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This paper focuses mainly on the optimal design of a Differential Evolution (DE) based PID Controller for longitudinal Adaptive Cruise Control system that senses
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of Proportional Integral Derivative (PID) controller for both Load Frequency Control (LFC) and Automatic Voltage Regulation (AVR) of interconnected power system
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This paper presents the optimal design of PID controller based on a Bacterial foraging particle swarm optimization (BF-PSO) approach for continuous stirred tank reactor (CSTR)..
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(28) The step-input responses of the 3 -IM speed control system without and with the PID controller designed by the ZN tuning rule are depicted in Figure 21, while
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In this part, the performance of the proposed self-tuning SNR-PSO and GA ANFIS controller is compared with the robust SNR-PSO controller for different system condition.
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