Hybrid Electric Vehicles (HEV) offer the ability to significantly reduce fuel consumptions and emission. Management of energy is one of essential elements in the implementation of HEV. The parameters of HEV control strategy are always optimized on some one standardized driving cycle, but the different city has its own driving cycle. So the great advantage of parallel HEV is limited. This paper ...

The application of the support vector machine (SVM) classification algorithm to large-scale datasets is limited due its use a large number vectors and dependency performance on kernel parameter. In this paper, SVM redefined as control system iterative learning (ILC) method used optimize SVM’s ILC technique first defines an error equation then iteratively updates function regularization paramete...

This study investigates the simple vector control of a 3-phase squirrel cage Induction Motor (IM) under open-circuit fault (faulty 3-phase IM). It was shown that it is needed to supply the stator windings with unbalanced currents to remove the oscillating term of the machine electromagnetic torque. The vector control system is based upon Field-Oriented Control (FOC) that has been adapted for th...

in direct torque control, the selection of an applied voltage vector is based on the measuredparameters at the beginning of the sampling period. the delay between the measurement and the application of the voltage vector is the origin of an extra torque ripple. in this paper, a new predictive controller is proposed for compensating this delay and reducing the torque ripple. the stator current i...

forecasting of municipal waste generation is a critical challenge for decision making and planning,because proper planning and operation of a solid waste management system is intensively affected by municipal solid waste (msw) streams analysis and accurate predictions of solid waste quantities generated. due to dynamic and complexity of solid waste management system, models by artificial intell...