According to the characteristics of the ac motor starting process, design a fuzzy soft start controller, realize constant current of ac motor soft start control. Using fuzzy soft start controller uses the two-dimensional structure, current deviation and deviation change rate as input, Mining Mamdani inference method of fuzzy reasoning. The controller output to the adjustment of the thyristor tr...

defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. the center of gravity method (cog) is one of the most accurate methods that so far been presented for defuzzification. in this paper, a simple algorithm is presented to generate triangular output membership functions in the mamdani method using the multiplier/divider circuit and...

In previous work, a fuzzy controller with conditionally firing rules was suggested as an advantageous alternative to Mamdani–Assilian controllers. Its features have been used without much understanding. Therefore we explicitly formulate the rules of its design in this tutorial which has not been available before.

Fuzzy control is one of the most important parts of fuzzy theory for which several approaches exist. Mamdani uses $alpha$-cuts and builds the union of the membership functions which is called the aggregated consequence function. The resulting function is the starting point of the defuzzification process. In this article, we define a more natural way to calculate the aggregated consequence funct...

Abstract This article presents a development of a fuzzy based nominal characteristic trajectory following (NCTF) controller for continuous motion control. A new structure is proposed in order to achieve excellent performance of tracking to a continuous reference input and also for point-to-point positioning task. The proposed structure maintains the NCTF controller simple configuration which is...

This article explores a novel fuzzy logic controller (FLC) based threephase shunt active power line conditioners (APLC) for power quality improvements due to the non-linear loads. The fuzzy logic controller is Mamdani-type and linguistic description, so it does not necessitate a mathematical model of the system. The FLC controller is capable of controlling harmonic current and dc-side capacitor...

In this paper, a 2 DOF planar robot was controlled by Mamdani type-PD-Fuzzy Logic Controller (FLC) tuned with particle swarm algorithm (PSO). In a tuning process of PD-FLC, several trajectories were applied to the robot system. The parameters of fuzzy controller were updated based on squared mean error cost function. The PD-FLC tuned by PSO was tested with a different trajectory. The error of t...

This paper deals with the simplest fuzzy PID controllers which employ two fuzzy sets for each of the three input variables and four fuzzy sets for the output variable. Mathematical model for a fuzzy PID controller is derived by using asymmetric Γ-function type and L-function type membership functions for each input, asymmetric trapezoidal membership functions for output, algebraic product trian...

The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rulebase and from a set of crisp inputs. In this paper we propose an extension of this type of reasoning using Mobile Agents which works with crisp data, intervals and/or linguistic terms as inputs and with various matching methods. For any matching one obtain a crisp value as output using Slave Agent...