Fuzzy Control Using Piecewise Linear Membership Functions Based on Knowledge of Tuning PID Controller.
نویسندگان
چکیده
منابع مشابه
Discrete PID Controller Tuning Using Piecewise-Linear Neural Network
PID controller (which is an acronym to “proportional, integral and derivative”) is a type of device used for process control. As first practical use of PID controller dates to 1890s (Bennett, 1993), PID controllers are spread widely in various control applications till these days. In process control today, more than 95% of the control loops are PID type (Astrom et al., 1995). PID controllers ha...
متن کاملPiecewise-linear artificial neural networks for PID controller tuning
A new algorithm of PID controller tuning is presented in this paper. It is well known that there have been introduced many techniques for PID controller tuning, both theoretical and experimental ones. However, this algorithm is suitable especially for highly nonlinear processes. It uses a model of the controlled process in the shape of piecewise-linear neural network which is linearized continu...
متن کاملOn fuzzy goal programming with piecewise linear membership functions
This paper deals with the adaptation to fuzzy goal programming of the most used methods to formulate, as a linear programming problem, a classic goal programming problem with piecewise linear penalty functions. Up to now, the literature has been only dealing with the adaptation of the Charnes and Cooper’s method. In this paper we show that the mentioned adaptations are not completely correct. W...
متن کاملTIME-VARYING FUZZY SETS BASED ON A GAUSSIAN MEMBERSHIP FUNCTIONS FOR DEVELOPING FUZZY CONTROLLER
The paper presents a novel type of fuzzy sets, called time-Varying Fuzzy Sets (VFS). These fuzzy sets are based on the Gaussian membership functions, they are depended on the error and they are characterized by the displacement of the kernels to both right and left side of the universe of discourse, the two extremes kernels of the universe are fixed for all time. In this work we focus only on t...
متن کاملSolving fuzzy inequalities with piecewise linear membership functions
This paper deals with systems of fuzzy inequalities. It shows that a system of fuzzy inequalities with piecewise linear membership functions can be converted to a one-constraint nonlinear programming problem by employing the concepts of constraint surrogation and maximum entropy. An augmented Lagrangean algorithm is then applied to solve the resulting problem. Some computational results are inc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 1998
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.64.925