Current Trajectory Search Method and Online Control Method for Optimal Control of Efficiency in Full Speed Domain of Permanent Magnet Synchronous Motor
A permanent magnet synchronous motor, optimal control technology, applied in motor control, motor generator control, control of electromechanical brakes, etc., can solve problems such as large current trajectory deviation, inability to achieve optimal control of full-speed domain efficiency, and achieve a high computational cost. Small, achieve the effect of optimal online control of full-speed domain efficiency, and fast iterative convergence speed
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specific Embodiment approach 1
[0098] Specific embodiment one: the following combination Figure 1 to Figure 5 This embodiment will be described. The current trajectory search method for the optimal control of the efficiency of the permanent magnet synchronous motor in the full speed domain described in this embodiment, when the motor is running below the base speed value, under the given torque command, speed command, voltage limit, and current limit Under the MTPA control method, the current operating point with the smallest current amplitude is obtained as the current trajectory; when the motor runs above the base speed value, under the given torque command, speed command, voltage limit, and current limit, the field weakening area efficiency is adopted. The optimal control method obtains the current operating point with the smallest current amplitude as the current trajectory;
[0099] The process of using the MTPA control method to obtain the current operating point with the smallest current amplitude i...
specific Embodiment approach 2
[0233] Specific embodiment two: the following combination Figure 1 to Figure 6 The present embodiment will be described, and the online control method for the full-speed domain efficiency optimal control of the permanent magnet synchronous motor described in the present embodiment will be described.
[0234] The search method described in Embodiment 1 is used to obtain the current trajectories of the permanent magnet synchronous motor at a series of operating points under different magnetization states, and these current trajectories are used as sample data to train, test and verify the neural network model. The input of the neural network model for optimal control of efficiency in the full speed domain is the speed, torque, voltage limit and current limit of the motor, and the output is the current amplitude and current angle (or direct-axis current and quadrature-axis current). The gradient of the error between the output value and the sample value adjusts the weight and bi...
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