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This paper discusses a intelligent washing machine controller based on FPGA parallel processing technology combined with fuzzy and neural network and genetic algorithm. Using the top-down block design principle, we put forward a kind of design that suitable for implementation of the intelligent washing machine controller. The controller is composed by fuzzy controller, neural network learning system...
Automatic Generation Control (AGC) is an integral part of Energy Management System. It is required to be innovated for the adaptation of the market system with several kind of bidding strategies. This paper deals with the automatic generation control of interconnected hydro-thermal system in market based deregulated system. In this particular work hydro unit is considered with electric governor and...
Unmanned vehicle intelligent control methods are advantaged in this paper. For path control of an unmanned vehicle, tracking method is proposed based on neural network. A neural network is made through experiments. Neural network's input are velocity, friction coefficient, hope radius, output is velocity difference. Then prevision control method is used to steering control. This neural network control...
Often it is difficult to acquire the requisite knowledge in the design of rule-based control systems. In the study, an advanced knowledge acquisition technique is presented and used in the fuzzy control of hydroelectric generating unit system of hydropower plant. Genetic algorithm is employed to optimize the parameters and rules of fuzzy controller in design controller and real-time control process...
The process of aluminum powder nitrogen atomizing has characteristics of strong nonlinear, strong coupling, large lag, and uncertainty and so on. It is difficult to achieve global optimal control for atomizing process by using single intelligent or conventional method. In this paper, research work to the techniques features and control demands of the aluminum powder nitrogen atomizing process is done,...
The paper presents an application of fuzzy logic power system stabilizers (FLPSS) to enhance transient stability in large electric power systems. A two-stage technology of FLPSS adaptation is considered taking into account the real conditions of a power system. Self-organizing artificial neural network (ANN) is used for clusterization of the test disturbances. A genetic algorithm (GA) is applied to...
This paper proposes a sub-time-optimum soft-computing based controller to follow a desired path with a desired velocity by mobile robots with identified dynamical behavior. This method consists of a fuzzy controller where a trained neural network sets its membership functions values in on-line mode. Training of the network is done by a genetic algorithm for various vehicle initial positions and different...
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