In this chapter, a proportional-integral derivative (PID)-type fuzzy logic controller (FLC) is proposed for a discrete-time system in order to track a desired trajectory generated using the flatness property. In order to improve the performance of the proposed controller, genetic algorithm (GA) based on minimizing the integral of the squared error (ISE) is used for tuning the input and output P...

Abstract: A fuzzy logic controller (FLC) with fast reference voltage generation to correct and regulate unbalance voltage in three-phase system is proposed. The compensation algorithm is not based on threesymmetrical component decomposition so the controller can yield a fast response that is essential in such a critical real time control work. The reference voltage is fed to the FLC , which is ...

This paper proposes an adaptive genetic algorithm (FLC-aGA) approach based on fuzzy logic controller (FLC) for evaluating the reverse logistics (RL) networks with centralized centers. For the FLC-aGA approach, an adaptive scheme using a fuzzy logic controller is applied to GA loop. Five components which are composed of customers, collection centers, recovery centers, redistribution centers, and...

Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot their speed. To the motor’s speed, a dependable controller needed. The will controlled by fuzzy logic proportional integral derivative (FLC-PID). circuit’s electrical mechanical components have been modeled mathematically. Ziegler-Nichols used to tune PID controller’s gain pa...

In this paper, Model based Predictive Control (MPC) and fuzzy logic controller (FLC) for temperature process station was proposed. This controller design gives an optimum performance even under process disturbances. Conventional controllers like P, PI, and PID controllers fail to control the process effectively under disturbances, conventionally accurate model of the process and complex algorit...

This paper explains about the voltage output for DC to DC boost converter between open loop, PID controller and fuzzy logic controller through Matlab Simulink. Simulink input voltage was set at 12V and the voltage reference was set at 24V. The analysis on the deviation of voltage resulted that the difference between reference voltage setting and the output voltage is always lower. Comparison be...

Abstract— This paper presents a comparative analysis of speed control in brushless DC motor (BLDC motor) using proportional-integral (PI) controller and Fuzzy logic controller (FLC). The controllers were analyzed under no load and loaded condition of the motor. The various parameters such as settling time, peak over shoot, steady state error, and mean square error were calculated and compared f...

This paper describes the dynamic performance of two area interconnected hydro-hydro power systems when subjected to 1% step load perturbation. For this present study, the system is incorporated with conventional Proportional-Integral (PI) controller and Fuzzy Logic Controller (FLC). The dc link is used as system interconnection in parallel with ac tie-lines. The dc link is considered to be oper...

This paper presents an Intrusion Detection System (IDS) with the integration of multi agent systems and artificial intelligence techniques such as fuzzy logic controller (FLC), multi-layer perceptron (MLP) and adaptive neurofuzzy inference system (ANFIS). The paper introduces Network Intrusion Detection Systems (NIDS), which monitors the network traffic and detect any possible attacks. The syst...

This paper presents a hybrid fuzzy-PID controller for air flow supply on a Proton Exchange Membrane fuel cell (PEMFC) system. The control objective is to adjust the oxygen excess ratio at a given setpoint in order to prevent oxygen starvation and damage of the fuel-cell stack. The proposed control scheme combines a fuzzy logic controller (FLC) and classical PID controller with a view to benefit...