Industrial heating furnace has a great deal of special characteristics such as big capacity, long lag and non-linear trait, etc. In order to control it better, we present a sort of fuzzy neural network temperature control model. It can transform the rulers of fuzzy logic control to a pair of input-output samples of multilayer forward neural network.The knowledge is not expressed by a serial of ...

The motivation behind mathematically modeling the human operator is to help explain the response characteristics of the complex dynamical system including the human manual controller. In this paper, we present two different fuzzy logic strategies for human operator and sport modeling: fixed fuzzy–logic inference control and adaptive fuzzy–logic control, including neuro–fuzzy–fractal control. As...

This paper deals with the application of artificial neural network (ANN) and fuzzy based Adaptive Neuro Fuzzy Inference System(ANFIS) approach to Load Frequency Control (LFC) of multi unequal area hydro-thermal interconnected power system. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Area-1 and area-2 consist...

The productivity of electricity increases with the necessity, which in turns pollutes the environment. There are certain methods to produce electricity in Eco-friendly manner. Wind turbine is one such application which is 100% pollution free, renewable and produces a lot of energy. In general wind turbines have two operating principles namely fixed speed and variable speed. In this paper we hav...

In this paper, an adaptive depth and heading control of autonomous underwater vehicle using the concept neuro-fuzzy inference system (ANFIS) is designed. The dynamics have six degrees freedom, which are highly nonlinear time-varying. It affected by environmental effects such as ocean currents tidal waves. Due to designing, a stable controller in difficult end achieve. Fuzzy logic neural network...

This paper presents a novel skill-assist (or power-assist) method which employs neuro-fuzzy systems in an Omni-directional Wheelchair (OMW). This function allows the attendants of elderly or handicapped people to deal with heavy loads while the operability problem of moving the OMW laterally or rotating it around the OMW’s Center of Gravity (CG) is also solved. A fuzzy reasoning method is propo...

H. Ghezelayagh and K. Y. Lee are with the Department of Electrical Engineering, The Pennsylvania State University, University Park, PA16802, USA (e-mail: [email protected]). Abstract In an intelligent predictive controller, a neuro-fuzzy identifier predicts the response of the plant in future time interval, and provides a non-model based control approach. This identifier generates fuzzy rules an...

A new approach for flexible automated handling of fabrics in the sewing process is described, which focuses to control the cloth tension applied by a robot. The proposed hierarchical robot control system includes a Fuzzy decision mechanism combined with a Neuro-controller. The expert’s actions during the sewing process are investigated and this human behavior is interpreted in order to design t...

This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct...