This study presents the real time hybrid controller implementation for a Switched Reluctance motor Drive. The developed hybrid control law consists of Proportional Integral (PI) controller at steady state, PI-type fuzzy logic controller (FLC) at transient state and a simple logic controller between steady and transient states to achieve desired performance at various operating conditions under ...

This paper proposes a brain emotional learning based intelligent controller (BELBIC)for Interior Permanent magnet synchronous motor (IPMSM) drives used for traction application. The IPMSM is a suitable motor for traction because of its brushless, wide constant speed-power region and low power-loss operation. The operation of the BELBIC is based on the emotion processing mechanism in the brain. ...

Pressure control systems constitute the heart of many process plants. Linguistic modeling and decisionmaking processes like fuzzy and neural controller are very much useful to control the complicated processes. An intelligent control strategy has been proposed and successfully applied to a real time water pressure control system. For the variation of set point change and load disturbance, an in...

The main objectives of vehicle motion control on an automated highway system are stable and safe automatic longitudinal and/or lateral path following in a platoon of vehicles. Various controllers can be used to satisfy the same objectives, but they may require different variables to be sensed or different conditions to be met. Supervision can select a controller and switch to a different contro...

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) ...

The Interval Type-2 Fuzzy Logic Controller (IT2FLC) for a Quadruple Tank Process (QTP) is demonstrated in this paper. Here the Interval Type-2 based Fuzzy membership function is used. The QTP is made to operate in minimum phase mode. The vertices of fuzzy membership functions are tuned with IT2FLC to minimize Integral Absolute Error. Performance of IT2FLC and Type-1 Fuzzy Logic Controller (T1FL...

The main objective of this paper is to compare the performance between fuzzy controller and proportional integral controller in improving the performance of the DC-DC Buck Converter. The evaluation of the output has been carried out and compared by software simulation using MATLAB. This paper also evaluates the stability of the system with fuzzy controller and PI controller and concludes that t...

In this paper, a simple and effective scheme for tuning of fuzzy PI-PD controller based on fuzzy logic is proposed. Here the input scaling factors are tuned online by gain updating factors where values are determined by rule base with error and change in error as inputs according to the required controlled process. The performance comparison of conventional fuzzy logic controller, auto-tuned fu...

In this paper we proposed PI controller & fuzzy controller design for reducing the sensitivity of the effect of load variations dynamic load changes for the response of the output speed of the system S.E.DC motor which can cause malfunctions in the electronic circuits or the complete failure of the control system. The paper describes the implementations of a PI controller and fuzzy controller w...

In this paper are presented the analysis of three-phase boost rectifier converters in close loop using PI classical controller and PI fuzzy controller. A multi-loop controller for the three-phase boost rectifier consists of an outer loop to regulate the output voltage and two inner current loops one each for the d and q axis input currents. The current loops control the decoupled channels of th...