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In this paper, the quadrotor ESC-motor-propeller subsystem identified and computer model design for the quadrotor fuzzy logic control system is developed. Two controllers based on Fuzzy logic and PID were presented and examined with respect to their best performance. The conducted analysis proved the ability of the designed fuzzy logic controller in controlling the orientation platform angles and...
This paper presents a fuzzy logic control strategy for control and stabilization of TWIPR. The TWIPR considered in the study comprises of a robot chassis mounted on two movable wheels. The research objective is to stabilize the system within desired time, overshoot and steady state error. The Matlab Simulink model of the system was built using mathematical equations derived from Newton's second law...
The steam generator water level is an important process parameter in nuclear power stations. It is essential to provide continuous heat sink to reactor through primary heat transport system and to ensure reactor safety. While on power or during reactor shutdown, the level control system removes the decay heat from the reactor core via boiler. At low reactor power the level control is very much difficult...
Maximum power point tracking (MPPT) is an important part of solar photovoltaic (PV) system. It increases the efficiency of a solar panel by tracking the maximum power point. There are several MPPT control algorithms in use. In this paper, four control algorithms are analyzed comparatively [1]. Using MATLAB/Simulink a solar PV system with MPPT controlled buck-boost dc-dc converter is modeled. Then...
The implementation of fuzzy logic control for autonomous UAV autopilots is achieved by having two sets of fuzzy rules, one for controlling the change in heading (horizontal plane controller) and the other for controlling the change in altitude (vertical plane controller) of the aircraft. This paper is a general presentation on the topic of fuzzy logic controlled UAV autopilots as well as a presentation...
The hybrid electrical vehicle (HEV) has draw researchers' attention recently. This paper mainly discusses the control strategy of HEV based on fuzzy logic. By using this control strategy, the work space and work efficiency of engine are optimized, which play a vital role on improvement of the operation performance of HEV. Meanwhile, the strategy has been applied to optimize the power balance of battery,...
In this paper, a novel control algorithm has been proposed to regulate the DC bus voltage of a single phase shunt active power filter using a fuzzy logic controller. The DC bus voltage of a shunt active power filter should be controlled to compensate the filter losses on the grid. In many industrial applications, a PI controller is generally used to regulate the DC bus voltage of shunt active power...
The role of proportional-integral (PI) controller as a speed controller for a induction Motor (IM) in high performance drive system is still vital although new control techniques such as direct torque control that is more effective -but complex- is available. However, PI controller is slow in adapting to speed changes, load disturbances and parameters variations without continuous tuning of its gains...
In order to solve the problem of excessive understeer of four-wheel -steering vehicle with zero mass-center side-slip angle and proportional control at high speed, using fuzzy logical control method, adding direct yaw moment control of four wheel steering to solve this question. a two DOF four-wheel-steering vehicle model with integrated control of steering angle and yaw moment was established. The...
This paper proposes the maximum power tracking from the Photovoltaic system, which is interfaced with utility grid through a three phase inverter, by using a fuzzy logic controller. In this arrangement, three phase step up transformer is used to synchronize the inverter output with the grid ratings. Controller tracks and feeds maximum power to the utility grid. The linguistic variables have been selected...
This paper describes an intelligent the temperature control at a desired level in a refrigerator. The control works on the basis of modeling a thermostatic appliance and the use of fuzzy logic. A refrigeration system control device using fuzzy logic for controlling a plurality of refrigeration compressors such that the closest capacity is selected to match the load to each of a plurality of evaporators...
This paper addresses some of the potential benefits of using ANFIS controllers to control an inverted pendulum system. The stages of the development of a four input Adaptive-neuro fuzzy inference structure (ANFIS)model were presented. The main idea of this paper is to implement and optimized neuro-fuzzy logic control algorithms in order to balance the inverted pendulum and at the same time reducing...
The measurement of parameters for obtaining the mathematical model of the Level process station has to make accurately so as to obtain satisfactory performance of the system. The subject of this paper is concerned with the precise level control of a Level process station. The mathematical modeling of the system is done and control law for fuzzy and fuzzy immune PID is established. The Simulink of...
To control the power flow, for increasing the transmission capacity and optimizing the stability of the power system, FACTS devices are used. One of the most widely used FACTS devices is Unified Power Flow Controller (UPFC). The controller used in the operation of UPFC has significant effect on power flow control and stability enhancement. Conventional PI regulators are generally used in the control...
Bucket wheel reclaimer (BWR) has been widely used for stacking/reclaiming bulk materials (i.e. iron ore) onto/from stockpiles in mining industry. Generally speaking, current BWRs are manually operated, remotely operated, or automated to simply follow predefined trajectory patterns. BWRs are very large in size, heavy in weight, expensive in price and slow in motion. It is commonly agreed in the industry...
This paper presents an adaptive filter for fuzzy-logic controller for vector controlled based speed controller incorporating with a maximum torque per ampere (MTPA) of an interior permanent magnet synchronous motor (IPMSM) drive to minimize the torque ripple. The design and optimization of the FLC, infinite impulse response (IIR) filter and the adaptation algorithms are presented. Different operating...
This paper presents a novel and practical approach for integrating simulation and optimization of system dynamics (SD) models using Matlab and Simulink. The Matlab platform allows much freedom in customizing and implementing global search techniques such as genetic algorithms (GA) and artificial intelligence constructs like fuzzy logic. The Simulink platform allows complex nonlinear dynamic models...
In this paper, an application of the fuzzy logic scheme for direct torque fuzzy control (DTFC) of an Induction Motor (IM) AC drive is proposed. The proposed DTFC is based on fuzzy logic technique switching table is described and compared with conventional direct torque control (DTC). The comparison with DTC shows that the use of the DTFC reduces the torque, stator flux, and current ripples. The proposed...
In this paper, the author establish a model of water-jet propulsion system for self-service gliding-hydrofoil craft. A fuzzy logic controller is designed based on MATLAB and SIMULINK. And simulation experiment is performed. Experiment results show that the fuzzy logic controller is useful and is affected by interference. And the less the interference, the more balanced the effect is.
We describe in this paper the application of evolutionary methods for the optimization of type-2 fuzzy logic controllers. These optimal type-2 fuzzy logic controllers are used for the trajectory tracking control of autonomous mobile robots. The evolutionary method to consider is the genetic algorithm, presenting simulations results in Simulink?? of Matlab.
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