In this paper, a novel compensator based on Magnetically Controlled Reactor with Fixed Capacitor banks (FC-MCR) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. The problem of robust FC-MCR-based damping controller design is formulated as a multi-objective optimization problem. The multi-objective problem is concocted ...

Pneumatic actuation systems are widely used in industrial automation, such as drilling, sawing, squeezing, gripping, and spraying. Also, they are used in motion control of materials and parts handling, packing machines, machine tools, food processing industry and in robotics; e.g. two-legged robot. In this paper, a Neural Network based intelligent PI controller is designed and simulated to incr...

The primary aim of the Automatic Generation Control (AGC) is to maintain system frequency and tie-line interchanges in a predestine limits by regulating the power generation of electrical generators, in case of fluctuations in the system frequency and tie-line loadings. This paper proposes a new online intelligent strategy to realize the control of multi-area load frequency systems. The propose...

Excellent attributes of permanent magnet stepper motor (PMSM) make it prominent in robotic, aerospace, and numerical machine applications. However, the problem of nonlinearity and presence of mechanical configuration changes, particularly in precision reference trajectory tracking, must be put into perspective. In this paper, a novel cognitive strategy based on the emotional learning in limbic ...

We have developed a novel technique for automatically synthesizing hard real-time reactive controllers using model-checking verification. Our algorithm builds a controller incrementally, using a timed automaton model to check each partial controller for correctness. The verification model captures both the controller design and the semantics of its execution environment. If the controller is fo...

in recent year's renewable energy sources have become a useful alternative for the power generation. the power of photovoltaic is nonlinear function of its voltage and current. it is necessary to maintain the operation point of photovoltaic in order to get the maximum power point (mpp) in various solar intensity. fuzzy logic controller has advantage in handling non-linear system. maximum power ...

This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer. The purpose of the control system is to control the simulated AGV by moving along the given path towards a goal. Some obstacles can be placed on or near the path to increase the difficulties of t...

In this paper a new approach to a neural network-based model reference adaptive intelligent controller is proposed. In this scheme, the intelligent supervisory loop is incorporated into the conventional model reference adaptive controller framework by utilizing an online growing multilayer back propagation neural network structure in parallel with it. The idea is to control the plant by convent...

This paper develops an intelligent robust control algorithm for a class of uncertain nonlinear multivariable systems by using a recurrent-cerebellar-modelarticulation-controller (RCMAC) and sliding mode technology. The proposed control algorithm consists of an adaptive RCMAC and a robust controller. The adaptive RCMAC is a main tracking controller utilized to mimic an ideal sliding mode control...

Critical infrastructures require precise and swift response to a local disturbance before it would spread and accumulate. To meet the demand on response time, we propose an intelligent controller with cache design. The controller stores previous decisions and rates them based on a comprehensive evaluation. With those ratings, the controller can intelligently choose the decision leading to the o...