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This paper presents a novel approach for speed governing of hydro-turbine by means of a sliding mode controller. For selecting a group of parameters of the sliding surface, genetic algorithm is employed to search these parameters. For decreasing the chattering problem of the sliding mode controller, a fuzzy interface system is harnessed to regulate the controller gain. To verify the feasibility and...
The translational oscillations with a rotational proof-mass actuator (TORA) is a well-known benchmark for examining the advantages and limitations of different nonlinear control design techniques. In this paper, a single-input-rule-modules (SIRMs) based type-2 fuzzy logic control scheme is proposed for this nonlinear multivariable system. And, genetic algorithms (GAs) are adopted to determine the...
To found the suitable models to describe the behavior of biochemistry systems, the dynamic epsiv-SVM method was proposed on the basis of SVM. Each training sample uses different error. The existed methods for selecting the parameters of SVM not only consume time, but also are difficult to find the optimal parameters. The optimal parameters were automatically decided by using multi-object genetic algorithm...
Compared with human beings, autopilots have advantages in controlling ships in higher precision. However, due to disturbances caused by sea wind, wave, flow and some other uncertainties such as variance of ship physical parameters, how to control autopilots properly is a very difficult problem. An autopilot based on fuzzy logic and genetic algorithm is designed to make a ship follow "virtual...
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