Search results for "Fuzzy logi"

showing 10 items of 471 documents

SELF-TUNING FUZZY CONTROL OF A ROTARY DRYER

2002

Abstract Drying, especially rotary drying is without doubt one of the oldest and most common unit operations in industries. It is a very complex non-linear process including the movement of solids in addition to thermal drying. This means that both the modelling and control of a rotary dryer is difficult with conventional methods. The aim of this research was to improve dryer control by developing control systems based on self-tuning PID-type fuzzy logic controllers. The behaviour of the control systems has been tested with simulations based on the model of a pilot plant dryer located in the Control Engineering Laboratory at the University of Oulu. The control results have been compared ach…

EngineeringPilot plantbusiness.industryControl systemSelf-tuningProcess (computing)PID controllerControl engineeringFuzzy control systembusinessFuzzy logicIFAC Proceedings Volumes
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Type-2 fuzzy control of a fed-batch fermentation reactor

2010

Abstract The aim of the paper is to present the application of type-2 fuzzy logic controllers (T2FLCs) to the control of a fed-batch fermentation reactor in which the penicillin production is carried out. The performance of the control system using T2FLCs is compared by simulation with that of a control system using type-1 fuzzy logic controllers (T1FLCs). The non linear model used for the simulation study is an unstructured model characterized by the presence of non linearities, parameter uncertainty and measurement noise. Simulation results confirm the robustness of the T2FLC which shows a better performance than its type-1 counterpart particularly when uncertainties are present in the co…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciBatch fermentationbusiness.industryNon linear modelControl engineeringFuzzy control systemType (model theory)Fuzzy logicNoiseControl theoryRobustness (computer science)Control systemtype-2 fuzzy logic controller uncertainties non linear system fed batch fermentation reactorbusiness
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Control of the Biodegradation of Mixed Wastes in a Continuous Bioreactor by a Type-2 Fuzzy Logic Controller

2009

Abstract Type-2 fuzzy logic control is proposed for nonlinear processes characterized by bifurcations. A control simulation study was conducted for a bioreactor with cell recycle containing phenol and glucose as carbon and energy sources in which a pure culture of Pseudomonas putida is carried out. The model developed by Ajbar [Ajbar, A. (2001). Stability analysis of the biodegradation of mixed wastes in a continuous bioreactor with cell recycle. Water Research, 35 (5), 1201–1208] was used for the simulations. The particular dynamics of the bioreactor, characterized by two saddle-node bifurcations, makes its control difficult, since it may become unstable also for small variations of some p…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimicibusiness.industryGeneral Chemical EngineeringOpen-loop controllerPID controllerControl engineeringFuzzy control systemFuzzy logicComputer Science ApplicationsNonlinear systemBifurcation Bioreactor control Stability Type-2 fuzzy logic controllerControl theoryRobustness (computer science)Energy sourcebusiness
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Nonlinear control of an activated sludge aeration process: use of fuzzy techniques for tuning PID controllers

1999

In this paper, several tuning algorithms, specifically ITAE, IMC and Cohen and Coon, were applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using a nonlinear fuzzy PID controller. In order to design this controller, a trial and error procedure was used to determine, as a function of error at current time and at a previous time, sets of parameters (including controller gain, integral time and derivative time) which achieve satisfactory response of a PID controller actuating over the aeration process. Once these sets of data were obtained, neural networks were used to obtain fuzzy m…

EngineeringSewageArtificial neural networkbusiness.industryApplied MathematicsOpen-loop controllerPID controllerControl engineeringNonlinear controlFuzzy logicComputer Science ApplicationsKineticsNonlinear systemOxygen ConsumptionFuzzy LogicNonlinear DynamicsControl and Systems EngineeringControl theoryProcess controlComputer SimulationBiomassElectrical and Electronic EngineeringbusinessInstrumentationAlgorithmsISA Transactions
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Fuzzy Adaptive EKF Motion Control for Nonholonomic and Underactuated Cars with Parametric and non Parametric Uncertainties

2007

A new fuzzy adaptive motion control system including on-line extended Kalman''s filter (EKF) for wheeled underactuated cars with non-holonomic constraints on the motion is presented. The presence of parametric uncertainties in the kinematics and in the dynamics is treated using suitable differential adaptation laws. We merge adaptive control with fuzzy inference system. By using fuzzy system, the parameters of the kinematical controller are functions of the lateral, longitudinal and orientation errors of the motion. In this way we have a robust control system where the dynamics of the motion errors is with lower time response than the adaptive control without fuzzy. Also Lyapunov''s stabili…

EngineeringTRACKING CONTROLControl and OptimizationAdaptive controlbusiness.industryKalman filterFuzzy control systemMotion controlFuzzy logicMOBILE ROBOTSComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringRobust controlbusinessParametric statistics
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A fuzzy-logic-based controller for methane production in anaerobic fixed-film reactors

2017

The main objective of this work was to develop a controller for biogas production in continuous anaerobic fixed-bed reactors, which used effluent total volatile fatty acids (VFA) concentration as control input in order to prevent process acidification at closed loop. To this aim, a fuzzy-logic-based control system was developed, tuned and validated in an anaerobic fixed-bed reactor at pilot scale that treated industrial winery wastewater. The proposed controller varied the flow rate of wastewater entering the system as a function of the gaseous outflow rate of methane and VFA concentration. Simulation results show that the proposed controller is capable to achieve great process stability ev…

Engineering[SDV]Life Sciences [q-bio]Winepilot plant scale02 engineering and technologyWastewater010501 environmental sciencesbioenergyWaste Disposal Fluid7. Clean energy01 natural sciencesMethanechemistry.chemical_compoundBioreactorsanaerobic fixed-bed reactorméthaneProcess engineeringWaste Management and DisposalWater Science and TechnologyGeneral Medicinewinery wastewaterbiogaz6. Clean watercontrôle de bioprocédépilot scaleWastewateréchelle piloteMethaneAnaerobic exerciseIndustrial Wastebioréacteur à lit fixeIndustrial wasteFuzzy Logic020401 chemical engineeringControl theoryBioreactorEnvironmental Chemistry0204 chemical engineeringEffluent0105 earth and related environmental sciencesbioénergielogique flouebusiness.industryanaerobic fixed-bed reactor;fuzzy-logic control;methane;pilot scale;winery wastewaterFatty Acids Volatilevinassefuzzy setsfuzzy-logic controlchemistryControl systemmarsh gasbusiness
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Fuzzy control for Electric Power Steering System with assist motor current input constraints

2015

Abstract Friction and disturbances of the road are the main sources of nonlinearity in the Electric Power Steering (EPS) System. Consequently, conventional linear controllers design based on a simplified linear model of the EPS system will result in poor dynamic performance or system instability. On the other hand, a brush-type DC motor is more used in EPS control with an input current that is limited in practice. The control laws designed without taking into account the saturation effect may have undesirable consequences on the system stability. In this paper, a Takagi–Sugeno (T−S) fuzzy is used to represent the nonlinear behavior of an EPS system, and stabilization conditions for nonlinea…

Engineeringbusiness.industryComputer Networks and CommunicationsApplied MathematicsControl (management)Linear modelControl engineeringFuzzy control systemControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsDC motorInstabilityFuzzy logicNonlinear systemControl theoryControl and Systems EngineeringSignal ProcessingbusinessSaturation (chemistry)
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Stability and Noises Evaluation of Fuzzy Kalman UAV Navigation System.

2009

In this paper a new Fuzzy/Kalman navigation system for Unmanned Aerial Vehicles (UAV) is presented. A closed loop velocity Fuzzy navigation system is proposed for stabilizing the UAV in a reference trajectory generated dynamically and for obtaining a forward velocity command. The Kalman's filter (KF) is included in the feedback line of the fuzzy control system to filter the internal noise of the sensors and to evaluate the external noise due to possible perturbations of the nominal motion. The efficiency of the navigation system has been shown through experimental tests in a Matlab environment.

Engineeringbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNavigation systemComputerApplications_COMPUTERSINOTHERSYSTEMSControl engineeringFuzzy control systemKalman filterMotion controlSensor fusionFuzzy logicComputer Science::RoboticsNoiseExtended Kalman filterStability Noises Fuzzy Kalman UAV NavigationSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theorybusiness
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E-negotiator based on buyer's surfing pattern

2017

Everyone likes to get the best price, but best price cannot be provided to everyone. This paper proposes an algorithm to provide the best price to the most prospective buyer. E-Negotiation will be based on buyer's activity pattern and surfing behavior. Unlike existing e-negotiation models proposed for B2C, B2B and C2C Ecommerce applications, where the intervention of buyer is present, this paper proposes a system to e-negotiate by just observing buyer's surfing pattern, without depending on his input. Surfing patterns such as sites visited and products surfed will tell the buyer's intention on purchasing the product. The amount of discount for negotiation is generated using a Fuzzy Inferenc…

Engineeringbusiness.industrymedia_common.quotation_subjectAdvertisingFuzzy control systemFuzzy logicPurchasingProduct (business)NegotiationIntervention (law)Fuzzy inference systemComputingMilieux_COMPUTERSANDSOCIETYMarketingbusinessComputingMilieux_MISCELLANEOUSmedia_common2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)
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Decision making in energy planning: The electre multicriteria analysis approach compared to a fuzzy-sets methodology

1998

Every planning activity generally requires to make some choices. After a preliminary analysis of the sector under examination, a forecast of trends of input-output items, the planner must define an action plan voted to arrange all the strategies and specific interventions able to fit demand and supply during the planned time. The redaction of an action plan implies a strong effort in order to synthesize either suggestions coming from the analysis phases either all the constraints linked to technical choices. In the same time, a large number of "external" variables plays a role in orienting decision making. Some of these can be handled by numerical models (economic cost-benefit analyses, mar…

Engineeringdecision making energy planningSettore ING-IND/11 - Fisica Tecnica AmbientaleOperations researchRenewable Energy Sustainability and the Environmentbusiness.industryFuzzy setJudgementEnergy Engineering and Power TechnologyEnergy planningFuzzy logicFuel TechnologyNuclear Energy and EngineeringRankingOrder (exchange)Action planELECTREbusiness
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