This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control in direct torque control induction motor drive. Genetic algorithms are used to tune the PI controller gains to ensure optimal performance. The performance of the two controllers are investigated and compared for differen...

In this paper mainly presents about the DSTATCOM and control methodology of DC capacitor voltage, generally, the dc capacitor voltage is regulated using a PI controller when various control algorithms are used for load compensation. However, during load changes, there is considerable variation in dc capacitor voltage which might affect compensation. In this work, a fuzzy logic based supervisory...

This work aims to develop an accurate model of an existing Photovoltaic Pumping System (PvPS) which is composed of an Ebara Pra-0.50T Asynchronous Moto-Pump (AMP) fed by Kaneka GSA-60 photovoltaic panels via a Moeller DV-51 speed drive. The developed model is then used to compare the performance of the system with its original control strategy based on classical indirect vector control strategy...

This paper proposed to regulate the speed control of PMSM with PI and Adaptive fuzzy based speed control using flux weakening operation. In this method with having advantages in permanent magnet synchronous machine (PMSM) drive can utilization and widen flux weakening region the maximum utilization of inverter output regulated current saturation makes the instantaneous current control capabilit...

The goal of this paper is to propose an alternative to classical control methods of a fed-batch fermentation. Fuzzy modeling and control theory is used for that purpose. The fuzzy supervisor based on human experience and experimental data, is designed to compute the set values for a PI controller which controls the feeding dilute flow to the fermentator. The results are compared with those obta...

The limitations of conventional model-based control mechanisms for flexible manipulator systems have stimulated the development of intelligent control mechanisms incorporating fuzzy logic and neural networks. Problems have been encountered in applying the traditional PD-, PI-, and PID-type fuzzy controllers to flexible-link manipulators. A PD-PI-type fuzzy controller has been developed where th...

In this paper an Interval Type2 Fuzzy Logic (IT2FL) controller is proposed for the control of DC-DC converters to attain a good output voltage regulation and dynamic response. The buck and boost type DC-DC converters are considered for the implementation of the IT2FL controller. To study the effects on the system performance, the conventional PI and type-1 fuzzy controller are designed and comp...

Abstract—this paper describes control of 3-phase shunt active filter by using PI, fuzzy and ANFIS controls to improve the power quality and reactive power compensation and harmonic current compensation due to nonlinear loads. The controller is capable of controlling the DC capacitor voltage capable of reference source current. Hysteresis control is used to control the current in PWM inverter. T...

The work describes an automatically online Self-tunable PI-type fuzzy inference system with application of control approach to nonlinear system. In this paper, we describe a neuro-fuzzy controller as a STFIS (Self Tuning Fuzzy Inference System) optimized online using the rules of Takagi-Sugeno type, and a back propagation learning algorithm which is used to minimize a cost function that is made...

This paper presents a novel design of Proportional and Integral (PI) like Fuzzy Logic Controller (FLC) for Buck converters that integrates linear control techniques with Fuzzy Logic .The design procedure allows the small signal model of the converter and linear control design techniques to be used in the initial stages of FLC design. This simplifies the small signal design and stability assessm...