نتایج جستجو برای: simulation and fuzzy control methods

تعداد نتایج: 17163712  

2000
Farrokh Janabi-Sharifi J. Fan

In this paper, several issues of looper control in rolling mills are discussed and a fuzzy logic control is proposed to address the enumerated issues. The proposed system incorporated fast tuning algorithms for both off-line and online learning of membership functions and singleton values. Also, it is relatively simple to design and implement. The effectiveness of the proposed system is verifie...

Journal: :international journal of automotive engineering 0
milani azadi

nowadays, the use of small vehicles is spreading among urban areas and one sort of these vehicles are three-wheeled vehicles (twvs) which can be competitive with four-wheeled urban vehicles (fwvs) in aspects such as smallness, simple manufacturing, and low tire rolling resistance, fuel consumption and so on. the most critical instability associated with twvs is the roll over. in this paper a ti...

2009
CONSTANTIN VOLOSENCU

Fuzzy PI controllers are using in the place of linear PI controller with success in process control, assuring better control quality criteria. The paper presents some methods, with a higher grade of generality, to design PI fuzzy controllers, to assure internal and external stability to control systems and better control quality criteria. Families of input-output transfer characteristics and ga...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده برق و الکترونیک 1390

there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...

In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

Abstract In this paper, a fuzzy PID with new structure is proposed to solve the load frequency control in interconnected power systems. in this study, a new structure and effective of the fuzzy PID-type Load frequency control (LFC) is proposed to solve the load frequency control in interconnected power systems. The main objective is to eliminate the deviations in the frequency of different area...

M. Mirsalim, M. M. Rezaei,

Here, a new fuzzy direct torque control algorithm for induction motors is proposed. As in the classical direct torque control, the inverter gate control signals directly come from the optimum switching voltage vector look-up table, the best voltage space vector selection is a key factor to obtain minimum torque and flux ripples. In the proposed approach, the best voltage space vector is sel...

In this paper, a new sensorless model reference adaptive method is used for direct control of active and reactive power of the doubly fed induction generator (DFIG). In order to estimate the rotor speed, a high frequency signal injection scheme is implemented. In this study, to improve the accuracy of speed estimation, two methods are suggested. First, the coefficients of proportional-integral ...

ژورنال: :مکانیک سازه ها و شاره ها 2012
امین حاجی زاده

this paper presents a control strategy developed for optimizing the power flow in a fuel cell hybrid vehicle structure. this method implements an on-line power management based on the optimal fuzzy controller between dual power sources that consist of a battery bank and a fuel cell (fc). the power management strategy in the hybrid control structure is crucial for balancing between efficiency an...

2008
M. Dehghani F. Shabaninia Raymond Clavel

Accuracy of tracking and robustness are very important specifications in control of parallel robots. Classical control methods could not satisfy these requirements in parallel robots, simultaneously. Sliding mode control solves problems of accurate tracking, but it is not robust enough because of influence of chattering phenomena. Implementation of fuzzy logic in sliding mode enhances robustnes...

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