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In this paper, because a adaptive fuzzy control is incorporated into the sliding mode control (SMC) to adaptively regulate the adaptive law of SMC, an adaptive fuzzy sliding mode controller (AFSMC) for brushless doubly fed machine (BDFM) adjustable speed system is presented. The proposed controller for BDFM eliminates the average chattering encountered by most SMC schemes, and employs the robustness...
In this paper, based on the radial basis function (RBF) neural network, a fuzzy predictive current control strategy for the doubly fed machine (DFM) is presented. The dynamic model of voltage, flux linkage, electromagnetic torque and mechanical motion equation for DFM are expressed. Because the DFM structure is complex and the DFM parameters are variable according to the operating conditions and environments,...
In this paper, based on a radial basis function (RBF) neural network, a sliding mode control (SMC) strategy for brushless doubly fed machine (BDFM) is presented. The operating principle of BDFM has been introduced. The dynamic model of rotor field oriented and electromagnetic torque for BDFM is expressed. The proposed controller for BDFM eliminates the chattering encountered by most SMC schemes, and...
To analyze and improve the performance of proton exchange membrane fuel cell (PEMFC) stack, this paper conducts research in intelligent comprehensive control of the operational parameters, such as the operating temperature, pressure, mass flows of hydrogen and air for the PEMFC stack, current density, the exhaust emission quantity of reactant gas, and humidity of the hydrogen and air/oxygen. A detailed...
This paper presents the performance analysis of proton exchange membrane fuel cells (PEMFCs) and evaluation of the fuel cells by using a current density extent (D) and a steady-state error rate (S) as the steady-state performance indexes based on the effects and sensitivity of the fuel cell parameters on the polarization curve. Excluding the non-linear parts of the curve, which are the activation...
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