Current Trajectory Search Method and Online Control Method for Maximum Power Control of Permanent Magnet Synchronous Motor
A permanent magnet synchronous motor, maximum power technology, applied in motor control, motor generator control, control of electromechanical brakes, etc., can solve the problems of inability to achieve maximum power control, large current trajectory deviation, etc., to achieve fast iterative convergence speed, calculation Small volume and the effect of improving running performance
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specific Embodiment approach 1
[0113] Specific implementation mode one: the following combination Figure 1 to Figure 6 Describe this embodiment, the method for searching the maximum power control current trajectory of the permanent magnet synchronous motor described in this embodiment, the method is: when the motor is running below the base speed value, under the given torque command, speed command, voltage limit, current Under the limit, the MTPA control method is used to obtain the current operating point with the smallest current amplitude as the current trajectory; when the motor is running above the base speed value, under the given torque command, speed command, voltage limit, and current limit, the field weakening zone is used The maximum power control method obtains the current operating point with the maximum output power as the current trajectory, and the maximum power control method in the field weakening area includes two search methods: the current angle θ is in [θ a ,θ b ] within the range o...
specific Embodiment approach 2
[0264] Specific implementation mode two: the following combination Figure 7 Describe this embodiment, the permanent magnet synchronous motor maximum power control online control method described in this embodiment, using the permanent magnet synchronous motor maximum power control current trajectory search method described in Embodiment 1 to obtain the permanent magnet synchronous motor under multiple operating points The current trajectories of these current trajectories are used as sample data to train and generate the maximum power control neural network model. The input of the maximum power control neural network model is the motor speed, torque, current limit value and voltage limit value, and the output is the current amplitude and current angle;
[0265] Loading the maximum power control neural network model into the DSP or FPGA controller can realize the maximum power online control of the permanent magnet synchronous motor, and output the current amplitude and curren...
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