scholarly journals Maximum Power Control of Hybrid Wind-Diesel-Storage System

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Elkhatib Kamal ◽  
Magdy Koutb ◽  
Abdul Azim Sobaih ◽  
Sahar Kaddah
Keyword(s):  
Wind Speed ◽  
Storage System ◽  
Systems Design ◽  
Power Coefficient ◽  
Linear Matrix ◽  
Variable Speed ◽  
Voltage Ripple ◽  
Control Scheme ◽  
Wide Range ◽  
Takagi Sugeno

Extraction of maximum wind power of variable speed wind turbines in hybrid wind-diesel-storage system (HWDSS) is considered due to economical purposes. The proposed control algorithm utilizes extended fuzzy-linear matrix equalities (FLMEs) systems design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno (TS) fuzzy models. The algorithm maximizes the power coefficient for a fixed pitch. Moreover, it reduces the voltage ripple and stabilizes the system over a wide range of wind speed variations. The control scheme is tested for different profiles of wind speed pattern and provides satisfactory results.

Takagi-Sugeno Fuzzy Load-Following Control of Nuclear Reactors Based on Reactor Point Kinetics Equations

2014 ◽  
Author(s):  
Xiuchun Luan ◽  
Jie Zhou ◽  
Yu Zhai
Keyword(s):  
Control System ◽  
Linear Models ◽  
Fuzzy Controller ◽  
Fuzzy Model ◽  
Linear Matrix ◽  
Neutron Density ◽  
Load Following ◽  
Wide Range ◽  
Takagi Sugeno ◽  
Operating Points

A state differential feedback control system based Takagi-Sugeno (T-S) fuzzy model is designed for load-following operation of nonlinear nuclear reactor whose operating points vary within a wide range. Linear models are first derived from the original nonlinear model on several operating points. Next the fuzzy controller is designed via using the parallel distributed compensation (PDC) scheme with the relative neutron density at the equilibrium point as the premise variable. Last the stability analysis is given by means of linear matrix inequality (LMI) approach, thus the control system is guaranteed to be stable within a large range. The simulation results demonstrate that the control system works well over a wide region of operation.

Fault-tolerant controller design with fault estimation capability for a class of nonlinear systems using generalized Takagi-Sugeno fuzzy model

2019 ◽  
Vol 41 (15) ◽  
pp. 4218-4229 ◽  
Author(s):  
Alireza Navarbaf ◽  
Mohammad Javad Khosrowjerdi
Keyword(s):  
Nonlinear Systems ◽  
Controller Design ◽  
Fault Tolerant ◽  
Fuzzy Model ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Wide Range ◽  
Satisfy Lipschitz Condition ◽  
Unknown Disturbances ◽  
Takagi Sugeno

In this paper, a new design approach to construct a fault-tolerant controller (FTC) with fault estimation capability is proposed using a generalized Takagi-Sugeno (T-S) fuzzy model for a class of nonlinear systems in the presence of actuator faults and unknown disturbances. The generalized T-S fuzzy model consists of some local models with multiplicative nonlinear terms that satisfy Lipschitz condition. Besides covering a very wide range of nonlinear systems with a smaller number of local rules in comparison with the conventional T-S fuzzy model and hence having less computational burden, the existence of the multiplicative nonlinear term solves the uncontrollability issues that the other generalized T-S fuzzy models with additive nonlinear terms dealt with. A state/fault observer designed for the considered generalized T-S fuzzy model and then, a dynamic FTC law based on the estimated fault information is proposed and sufficient design conditions are given in terms of linear matrix inequalities (LMIs). It can be shown that the number of LMIs are less than that of previously proposed methods and then feasibility of our method is more likely. The effectiveness of the proposed FTC approach is verified using a nonlinear mass-spring-damper system.

Simulation Analysis of Savonius Turbine with Self-Rotating Blades

2012 ◽  
Vol 614-615 ◽  
pp. 480-484
Author(s):  
Zhi Peng Tang ◽  
Ying Xue Yao ◽  
Liang Zhou ◽  
Jin Ming Wu ◽  
Bo Wen Yu
Keyword(s):  
Wind Speed ◽  
Simulation Analysis ◽  
Power Coefficient ◽  
Rotating Blades ◽  
Low Wind Speed ◽  
Separating Flow ◽  
Wide Range ◽  
Low Efficiency ◽  
Driving Torque ◽  
The Impact

This paper analyzed the advantages of traditional Savonius (S-type) turbine and the reasons of its low efficiency, proposed a new type of turbine with self-rotating blades and surrounded by a rectifier, and studied the aerodynamic performance by numerical simulations. The turbine is composed of a rectifier and a rotor, the rectifier consists by straight and arc segments which can accelerate the wind speed and adjust the inflow wind angle. The self-rotating blade can reduce the impacted area acting on the leeward blade by wind and arm of the impact torque, therefore reduces the resistant torque of the blade, and the driving torque acting on the windward blade is almost the same with traditional S-type turbine, which can increase the overall driving torque. The result shows that the new turbine has the advantages as below: wide range of wind speed for effective working, high power coefficient (Cp), suitable for low wind speed aera etc. Although the flow field in S-type turbine is complex separating flow, the performance of the turbine proposed in this paper is improved and is better than traditional S-type turbine in numerical simulation which is worth for spreading.

scholarly journals Fault Tolerant Control of Vehicle Lateral Dynamic Using a New Pneumatic Forces Multiple Model

Actuators ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 120
Author(s):  
Imane Abzi ◽  
Mohammed Nabil Kabbaj ◽  
Mohammed Benbrahim
Keyword(s):  
Fault Tolerant ◽  
Longitudinal Velocity ◽  
Fault Tolerant Control ◽  
Small Variation ◽  
Linear Matrix ◽  
Multiple Model ◽  
Control Scheme ◽  
Sufficient Stability ◽  
Vehicle Dynamic Model ◽  
Takagi Sugeno

This paper presents a new accurate multiple model of nonlinear pneumatic lateral forces. The bicycle representation is used in order to build up an easy implemented vehicle dynamic model. Moreover, the Takagi–Sugeno fuzzy approach is applied in order to handle the vehicle model nonlinearities. This structure allows for taking into account the small variation of the vehicle longitudinal velocity. Subsequently, a Fault Tolerant Control strategy that is based on a bank of fuzzy Luenberger observers is proposed. The robustness of the control scheme against external noises is guaranteed by applying H∞ performance. Sufficient stability conditions that are based on Lyapunov method are formulated as Linear Matrix Inequality. Thus, allowing the computation of the observers’ and the controllers’ gains by using MATLAB. Finally, the simulation examples are performed to show the effectiveness of our proposal.

Frequency-Response Matching to Optimize Wind-Turbine Test Data Correlation

1986 ◽  
Vol 108 (3) ◽  
pp. 246-251
Author(s):  
A. C. Hansen ◽  
T. E. Hausfeld
Keyword(s):  
Wind Speed ◽  
Transfer Function ◽  
Wind Turbine ◽  
Test Data ◽  
Wind Turbines ◽  
Power Coefficient ◽  
Wide Range ◽  
Averaging Time ◽  
Measured Response ◽  
Selection Of

Pre-averaging is often applied to wind turbine test data to improve correlation between wind speed and power output data. In the past, trial and error or intuition have been used in the selection of pre-averaging time and researchers and institutions have differed widely in their pre-averaging practice. In this paper a standardized method is proposed for selection of the optimum pre-averaging time. The method selects an averaging time such that the test data are low-pass-filtered at the same frequency as the response frequency of the test wind turbine/anemometer system. A theoretial method is provided for estimation of the wind system transfer function as a function of the anemometer location, rotor moment of inertia, the stiffness of the connection between the rotor and the electrical grid, hub height, rotor speed and wind speed. The method is based in proven theory, repeatable, easy to use and applicable to a wide range of wind turbines and test conditions. Results of the transfer function predictions are compared with the measured response of two wind systems. Agreement between the predicted and measured response is completely adequate for the purposes of the method. Example results of calculated averaging times are presented for several wind turbines. In addition, a case study is used to demonstrate the dramatic effects of test design and data analysis methods on the results of a power coefficient measurement.

Nonlinear Control of Variable-Speed Wind Turbines for Generator Torque Limiting and Power Optimization

2006 ◽  
Vol 128 (4) ◽  
pp. 516-530 ◽  
Author(s):  
B. Boukhezzar ◽  
H. Siguerdidjane ◽  
M. Maureen Hand
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Maximum Energy ◽  
Current Control ◽  
Dynamic State ◽  
Power Coefficient ◽  
Control Input ◽  
Variable Speed ◽  
Power Extraction ◽  
Speed Estimator

To maximize wind power extraction, a variable-speed wind turbine (VSWT) should operate as close as possible to its optimal power coefficient. The generator torque is used as a control input to improve wind energy capture by forcing the wind turbine (WT) to stay close to the maximum energy point. In general, current control techniques do not take into account the dynamical and stochastic aspect of both turbine and wind, leading to significant power losses. In addition, they are not robust with respect to disturbances. In order to address these weaknesses, a nonlinear approach, without wind speed measurement for VSWT control, is proposed. Nonlinear static and dynamic state feedback controllers with wind speed estimator are then derived. The controllers were tested with a WT simple mathematical model and are validated with an aeroelastic wind turbine simulator in the presence of disturbances and measurement noise. The results have shown better performance in comparison with existing controllers.

scholarly journals Sensor Fault Diagnosis Observer for an Electric Vehicle Modeled as a Takagi-Sugeno System

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
S. Gómez-Peñate ◽  
F. R. López-Estrada ◽  
G. Valencia-Palomo ◽  
R. Osornio-Ríos ◽  
J. A. Zepeda-Hernández ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Electric Vehicle ◽  
Longitudinal Velocity ◽  
Sufficient Conditions ◽  
Fault Detection And Isolation ◽  
Linear Matrix ◽  
Sensor Fault ◽  
The Road ◽  
Wide Range ◽  
Takagi Sugeno

A sensor fault diagnosis of an electric vehicle (EV) modeled as a Takagi-Sugeno (TS) system is proposed. The proposed TS model considers the nonlinearity of the longitudinal velocity of the vehicle and parametric variation induced by the slope of the road; these considerations allow to obtain a mathematical model that represents the vehicle for a wide range of speeds and different terrain conditions. First, a virtual sensor represented by a TS state observer is developed. Sufficient conditions are given by a set of linear matrix inequalities (LMIs) that guarantee asymptotic convergence of the TS observer. Second, the work is extended to perform fault detection and isolation based on a generalized observer scheme (GOS). Numerical simulations are presented to show the performance and applicability of the proposed method.

scholarly journals Augmented robust T-S fuzzy control based PMSG wind turbine improved with H∞ performance

2021 ◽  
Vol 12 (1) ◽  
pp. 585
Author(s):  
Naoual Tidjani ◽  
Abderrezak Guessoum
Keyword(s):  
Wind Speed ◽  
Fuzzy Control ◽  
Wind Turbine ◽  
Control Strategy ◽  
Direct Method ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Wind Generator ◽  
Fuzzy Control Strategy ◽  
Takagi Sugeno

<p>In this paper, an improved augmented Takagi-Sugeno fuzzy control design applied to the system of converting wind turbine energy was proposed. The wind generator used is based on a permanent magnet synchronous wind power generator (PMSG) under varying operation of the wind speed. The proposed T-S fuzzy control strategy aims to maximize wind energy in low wind speed. A part of our contribution lies in the limitation of the power output of the wind generator in high wind speed. Through the concept of the virtual desired variables, the design of the output tracking controller is achieved. In light of this concept, the developed T-S fuzzy control was designed via parallel-distributed compensation (PDC) approach with H<sub>∞</sub> performance.</p><p>Sufficient conditions for the stability of the closed-loop system affected by external disturbances are proved from Lyapunov’s direct method and the feedback gains of the controller strategy are determined by linear matrix inequalities (LMIs) tools. Another contribution is in showing the robustness of the Takagi-Sugeno based control strategy, with a focus on a set of system parameters with model uncertainties. The simulation results show the high performance of the proposed controller strategy for a 5MW (PMSG) obtained through simulation.</p>

Continuous Variable Speed Wind Turbine: Transmission Concept and Robust Control

2000 ◽  
Vol 24 (3) ◽  
pp. 151-167 ◽  
Author(s):  
Moshe Idan ◽  
David Lior
Keyword(s):  
Control System ◽  
Robust Control ◽  
Wind Speed ◽  
Wind Turbine ◽  
Power Output ◽  
Energy Output ◽  
Variable Speed ◽  
Efficient Operation ◽  
Variable Speed Wind Turbine ◽  
Wide Range

This paper presents the theory and design of a novel hybrid mechanical-electrical variable speed wind turbine transmission, and discusses a robust control solution for optimal power output of the wind turbine equipped with such a transmission. The novel, planetary differential transmission would be driven by the variable speed rotor and controlled by a control system to ensure a constant speed of the main generator at a wide range of wind speed variations. Analysis shows that this would lead to an increase in the wind turbine energy output, estimated to be in the range of 15% to 20%, compared to a wind turbine with the same rotor and a fixed transmission. Using robust control design techniques, a single controller is synthesized for efficient operation over the entire anticipated wind speed range. The control system automatically varies the rotor speed to optimize its power output for slow wind speed variation and attenuates high frequency wind gust effects to reduce the resulting fatigue damage. Overall, the new concept provides a cost effective solution for variable speed wind turbine operation. The improved system performance is demonstrated using the results of a numerically simulated dynamic model of the proposed system.

Platoon Control Under a Novel Leader and Predecessor Following Scheme With the Use of an Advanced Aerodynamic Model

2017 ◽  
Vol 140 (4) ◽  
Author(s):  
Hakan Köroğlu ◽  
Maryam Mirzaei ◽  
Paolo Falcone ◽  
Siniša Krajnović
Keyword(s):  
Feedback Linearization ◽  
Fluid Dynamic ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Dynamic Simulations ◽  
Aerodynamic Model ◽  
Control Scheme ◽  
Wide Range ◽  
Vehicle Platoon ◽  
Feedback Linearization Approach

The longitudinal platoon control problem is considered under a leader and predecessor following scheme with a novel velocity-dependent spacing policy. With this spacing policy, the steady-state intervehicle distances increase with increasing cruise velocity and more so for vehicles that are closer to the leader. Since significant changes might be encountered in intervehicle distances during the travel due to the variations in the velocity of the leader, the problem is studied together with a more accurate modeling of aerodynamic effects within a platoon formation. Based on a standard feedback linearization approach, a dynamic output feedback synthesis problem is formulated with two H∞ performance objectives. One of the performance objectives is linked to the string stability of the platoon formation, while the other can be shaped in a way to maintain small spacing errors without aggressive vehicle maneuvers. A synthesis procedure is then outlined based on linear matrix inequality optimization (LMI). The new control scheme is investigated for a three-vehicle platoon by using an advanced aerodynamic model developed based on extensive fluid dynamic simulations. It is observed in this investigation that a desirable platoon operation can be achieved even with a simple aerodynamic model, provided that the controller is designed in a way to ensure good disturbance attenuation. Nevertheless, an accurate modeling of aerodynamic disturbances might be needed especially for the first vehicle after the leader when the cruising velocity varies over a wide range.

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