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Hybrid Controller based Intelligent Speed Control of Induction Motor  [PDF]
Vinod Kumar,R.R.Joshi
Journal of Theoretical and Applied Information Technology , 2007,
Abstract: This paper presents a hybrid system controller, incorporating fuzzy controller with vector-control method for induction motors. The vector-control method has been optimized by using fuzzy controller instead of a simple P-I controller. The presented hybrid controller combines the benefits of fuzzy logic controller and vector-control in a single system controller. High quality of the regulation process is achieved through utilization of the fuzzy logic controller, while stability of the system during transient processes and a wide range of operation are assured through application of the vector-control. The hybrid controller has been validated by applying it to a simulation model.
Fast Hybrid PSO and Tabu Search Approach for Optimization of a Fuzzy Controller
Nesrine Talbi
International Journal of Computer Science Issues , 2011,
Abstract: In this paper, a fuzzy controller type Takagi_Sugeno zero order is optimized by the method of hybrid Particle Swarm Optimization (PSO) and Tabu Search (TS). The algorithm automatically adjusts the membership functions of fuzzy controller inputs and the conclusions of fuzzy rules. At each iteration of PSO, we calculate the best solution and we seek the best neighbor by Tabu search, this operation minimizes the number of iterations and computation time while maintaining accuracy and minimum response time. We apply this algorithm to optimize a fuzzy controller for a simple inverted pendulum with three rules.
Fast Hybrid PSO and Tabu Search Approach for Optimization of a Fuzzy Controller  [PDF]
Nesrine Talbi,Khaled Belarbi
Computer Science , 2011,
Abstract: In this paper, a fuzzy controller type Takagi_Sugeno zero order is optimized by the method of hybrid Particle Swarm Optimization (PSO) and Tabu Search (TS). The algorithm automatically adjusts the membership functions of fuzzy controller inputs and the conclusions of fuzzy rules. At each iteration of PSO, we calculate the best solution and we seek the best neighbor by Tabu search, this operation minimizes the number of iterations and computation time while maintaining accuracy and minimum response time. We apply this algorithm to optimize a fuzzy controller for a simple inverted pendulum with three rules.
Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic  [PDF]
Emad M. Natsheh, Alhussein Albarbar
Smart Grid and Renewable Energy (SGRE) , 2013, DOI: 10.4236/sgre.2013.42023
Abstract: This paper presents a novel adaptive scheme for energy management in stand-alone hybrid power systems. The proposed management system is designed to manage the power flow between the hybrid power system and energy storage elements in order to satisfy the load requirements based on artificial neural network (ANN) and fuzzy logic controllers. The neural network controller is employed to achieve the maximum power point (MPP) for different types of photovoltaic (PV) panels. The advance fuzzy logic controller is developed to distribute the power among the hybrid system and to manage the charge and discharge current flow for performance optimization. The developed management system performance was assessed using a hybrid system comprised PV panels, wind turbine (WT), battery storage, and proton exchange membrane fuel cell (PEMFC). To improve the generating performance of the PEMFC and prolong its life, stack temperature is controlled by a fuzzy logic controller. The dynamic behavior of the proposed model is examined under different operating conditions. Real-time measured parameters are used as inputs for the developed system. The proposed model and its control strategy offer a proper tool for optimizing hybrid power system performance, such as that used in smart-house applications.
Direct Torque Control of PMBLDC Motor using Hybrid (GA and Fuzzy Logic) Controller  [cached]
Esakkiappan Kaliappan,C. Sharmeela
Journal of Advances in Information Technology , 2010, DOI: 10.4304/jait.1.4.163-167
Abstract: This paper deals with the Direct torque control of PMBLDC motor using hybrid controller (Genetic algorithm and fuzzy logic) and to reduce the torque ripple. Though the conventional controllers are commonly used in practice, they have failed to perform satisfactorily under non linear conditions and parameter variations. In the proposed work, a hybrid controller (using genetic algorithm and fuzzy logic controller) is introduced to control the torque and the flux linkage angle of the PMBLDC motor. Torque error and flux linkage angle of the PMBLDC motor is fuzzified and it is auto tuned by GA to improve the dynamic characteristic. Simulation results of the conventional fuzzy logic controller are compared with the hybrid (GA and fuzzy logic) controller and the later is found to be satisfactory with improved performance.
Hybrid fuzzy logic and pid controller based ph neutralization pilot plant  [PDF]
Oumair Naseer,Atif Ali Khan
Computer Science , 2013,
Abstract: Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for computational needs and signal to noise ratio. Hybrid controller with efficient system modelling is essential to cope with the current challenges of process control in terms of control performance. This paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and PID) design along with practical implementation and validation of pH neutralization pilot plant. This procedure is particularly important for control design and automation of Physico-chemical systems for process control industry.
PERFORMANCE EVALUATION OF HYBRID FUZZY LOGIC CONTROLLER FOR BRUSHLESS DC MOTOR DRIVE  [PDF]
C. SUBBA RAMI REDDY,M. SURYA KALAVATHI
International Journal of Engineering Science and Technology , 2011,
Abstract: This paper presents Hybrid fuzzy logic controller (HFLC) for the well developed and sophisticated simulation model of Brush less DC (BLDC) motor drive using MATLAB. The developed simulation model has been examined by the PID controller and HFLC. The performance of the controllers is evaluated more precisely from various simulation studies for variations in the load torque and speed of BLDC motor drive. A performance comparison of two controllers is also carried out by taking various performance measures such as settling time, steady state error, peak overshoot, the integral of the absolute value of the error (IAE) and the integral of the time-weighted squared error (ITSE). The results confirm that the developed simulation model is very convenient for the precise evaluation of performance and the HFLC shows improved performance over the PID controller in terms of disturbance rejection or parameter variation.
On-line Fuzzy sliding mode controller for Hybrid Power System  [PDF]
Salem Zerkaoui
Journal of Computations & Modelling , 2013,
Abstract: This paper concerns the control design of Hybrid Power System(HPS). Dynamic equations describing the coupling of buck converters are derived and a robust fuzzy sliding mode dynamic controller is designed. The aim is to show that the proposed control leads to good results in terms of robustness and stability according to the fluctuations of renewable sources and the load variations, without the use of cascade structure commonly used in literatures. The proposed control method is stable, good behavior to external disturbances, and does not request to know the system parameters exactly. Simulation results show good dynamic performances in term of response time of the DC bus voltage and robustness according to the load and the input voltage variations.
A Substractive Clustering Based Fuzzy Hybrid Reference Control Design for Transient Response Improvement of PID Controller  [PDF]
Endra Joelianto,Parlindungan H. Sitanggang
ITB Journal of Engineering Science , 2009,
Abstract: The well known PID controller has inherent limitations in fulfilling simultaneously the conflicting control design objectives. Parameters of the tuned PID controller should trade off the requirement of tracking set-point performances, disturbance rejection and stability robustness. Combination of hybrid reference control (HRC) with PID controller results in the transient response performances can be independently achieved without deteriorating the disturbance rejection properties and the stability robustness requirement. This paper proposes a fuzzy based HRC where the membership functions of the fuzzy logic system are obtained by using a substractive clustering technique. The proposed method guarantees the transient response performances satisfaction while preserving the stability robustness of the closed loop system controlled by the PID controller with effective and systematic procedures in designing the fuzzy hybrid reference control system.
Improved Dynamic Response of DC to DC Converter Using Hybrid PSO Tuned Fuzzy Sliding Mode Controller  [PDF]
R. Anand, P. Melba Mary
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.76080
Abstract: DC/DC switching converters are widely used in numerous appliances in modern existence. In this paper, the dynamic and transient response of phase shift series resonant DC/DC converter are improved using hybrid particle swarm optimization tuned fuzzy sliding mode controller under starting and load step change conditions. The aim of the control is to regulate the output voltage beneath the load change. The model of the hybrid particle swarm optimization tuned fuzzy sliding mode controller is implemented using Sim Power Systems toolbox of MATLAB SIMULINK. Performance of the proposed dynamic novel control under step load change condition is investigated.
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