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PID permanent magnet synchronous motor control method based on optimization algorithm

A technology of permanent magnet synchronous motor and control method, which is applied in the direction of motor generator control, electronic commutation motor control, control system, etc., can solve the problems of inability to obtain control quality stability, rapidity, etc., and achieve good global optimization ability. , It is not easy to fall into the local optimal solution, and the parallelism is good.

Inactive Publication Date: 2020-08-18
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

[0005] The permanent magnet synchronous motor is a nonlinear, time-varying, and strongly coupled complex control system, and the conventional PID controller design method cannot obtain good control quality (including stability, rapidity, and robustness)

Method used

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  • PID permanent magnet synchronous motor control method based on optimization algorithm
  • PID permanent magnet synchronous motor control method based on optimization algorithm

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Embodiment Construction

[0018] Genetic algorithm has macro search ability and excellent global optimization ability, so genetic algorithm can be transplanted into BP neural network, and GA algorithm can be used to optimize the weight and threshold of BP during training. Then use the BP neural network to solve it accurately, so as to achieve the purpose of global optimization and fast and efficient, and can effectively avoid the solution from falling into the local minimum problem. The genetic optimization BP neural network algorithm is as follows:

[0019] The input is the position command sent by the host computer, and the output is the displacement of the motor. The basic working process is that the given position command signal is compared with the current position signal measured by the detection feedback circuit to obtain the position deviation signal, and then processed by the position correction link as the given signal of the speed loop, which is compared with the actual speed to obtain the s...

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Abstract

The invention provides a PID permanent magnet synchronous motor control method based on an optimization algorithm, which adopts BP neural network PID control optimized by a GA algorithm and consists of two parts: 1, implanting a genetic algorithm into a BP neural network for learning and training, and finding out a weight and a threshold value suitable for a control system; and further combining an algorithm with a PID controller, so that real-time adjustment of PID parameters is achieved. Compared with other traditional optimization algorithms, the BP neural network optimized by the genetic algorithm has excellent global optimization capability and good convergence property, effectively avoids falling into a local optimal solution, and also has adaptive and self-learning capabilities.

Description

technical field [0001] The invention relates to a control technology of a permanent magnet synchronous motor, in particular to a control method of a PID permanent magnet synchronous motor based on an optimization algorithm. Background technique [0002] With the continuous improvement of industrial automation, higher requirements are put forward for the performance, precision and product quality of automation equipment. As the execution unit in industrial automation, the motor shoulders an important mission. A lot of industrial equipment is related to the use of motors, and 56% of the industrial power consumption is consumed by motors, which shows that motors play a pivotal role in the modern industrial system. [0003] Due to its simple structure and high cost performance, permanent magnet synchronous motor (PMSM) has certain advantages as an actuator in the speed control system; compared with asynchronous motors, the main advantages of permanent magnet synchronous motors ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/18G06N3/08
CPCH02P21/0014H02P21/18G06N3/086
Inventor 钟树晖
Owner SHANGHAI MARITIME UNIVERSITY
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