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The PCS provides generation side maximum power-point tracking (MPPT) using sensorless optimal torque control technique.
The optimal torque distribution is calculated offline and stored in tables.
Among of these data:wind speed, the matching optimal torque and pitch angle.
An optimal torque distribution approach for a redundant 3-RRR spherical parallel manipulator (SPM) with haptic capabilities is presented.
This paper describes the optimal torque control of such PSMs utilizing a magnetic equivalent circuit (MEC) model.
Using the data from a test vehicle with a V8 engine, we have developed a neural network engine model and neural network controllers based on the idea of sliding-mode control to achieve optimal torque control.
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The Pontryagin Maximum Principle is applied to the problem and the optimal torques are given explicitly in Serret-Andoyer's variables and their adjoints.
It is shown that the application of optimal current control in multiphase induction machines with open circuited phase(s) optimizes torque production while maintaining minimum stator copper loss and torque ripples.
With this information, the wind speed is calculated based on the optimal mechanical torque point.
Next, based on the phase plane theory, the optimal brake torque is calculated for ABS control of an electric vehicle.
The ESC can search for the optimal generator torque constant to maximize the rotor power without wind measurement or accurate knowledge of power map.
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