Method for designing current of permanent-magnet synchronous motor and parameter of speed controller PI by using online particle swarm optimization algorithm

A technology of particle swarm optimization and speed controller, applied in the direction of electronic commutation motor control, motor generator control, control of electromechanical brake, etc., can solve the problem of not considering the optimization of current controller, high dynamic performance and robustness of PMSM drive system sexual problems

Active Publication Date: 2016-06-15
宋正强
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Problems solved by technology

Secondly, when the online PSO method is applied to the optimization of PMSM controllers, it usually only considers the optimization of the speed controller and does not consider the optimization of the current controller. Similarly, the resistance value of the stator winding of the motor will also change in actual operation. Because of this, It is difficult to obtain high dynamic performance and robustness of PMSM drive system

Method used

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  • Method for designing current of permanent-magnet synchronous motor and parameter of speed controller PI by using online particle swarm optimization algorithm
  • Method for designing current of permanent-magnet synchronous motor and parameter of speed controller PI by using online particle swarm optimization algorithm
  • Method for designing current of permanent-magnet synchronous motor and parameter of speed controller PI by using online particle swarm optimization algorithm

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Embodiment 1

[0026] The off-line simulation of the model is carried out under the MATLAB / SIMULINK environment to test the performance of the online particle swarm optimization method for the sensorless field-oriented control IPMSM drive system. The basic parameters of the drive system of the IPMSM are provided in Table 1, and the sampling time of the controller is selected as 100 μsec, which is consistent with the actual experimental system controller sampling.

[0027] Number of motor pole pairs P p

Embodiment 2

[0029] DSP equipment DS1103 is used to establish an experimental test platform, and the space vector modulation strategy and sensorless control are completed through the PWM synchronous interrupt service program. In addition, the three-phase PWM signal can be generated by pre-setting the dead time of DS1103, and the three-phase voltage source inverter detects the three-phase PWM signal and DC bus voltage through the timer I / O port and DAC channel. The permanent magnet synchronous DC motor is independently controlled by the DC power supply and provides the load required by the test system, and the load can be varied. The parameters of the embedded permanent magnet synchronous motor used in the test are consistent with the parameters in the simulation model, which are provided in Table 1.

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Abstract

The invention discloses a method for designing current and speed controller PI parameters of a permanent-magnet synchronous motor by using an online particle swarm optimization algorithm. The method uses an improved particle swarm optimization algorithm, the real-time operation speed is improved, online optimization design of the current and speed controller PI parameters is completed without considering the condition of without speed sensor control or the change for stator winding resistance value, and an optimized object function value can be changed according to dynamic and static operation conditions of the system; and the method has the characteristics of algorithm intelligentization, high control accuracy, good stability, high self-adaptive capacity and the like, full digitalization intelligent control is realized, and the hardware cost of traditional permanent magnet synchronous motor servo control is not increased. The method is applicable for high-precision speed closed-loop control of the permanent-magnet synchronous motor and the work occasions that the load is easily changed and the optimization and modulation for the controller PI parameters are required to be quickly completed.

Description

technical field [0001] The invention relates to a method for designing current and speed controller PI parameters of a permanent magnet synchronous motor by using an online particle swarm optimization algorithm, and belongs to the technical field of motor intelligent control. Background technique [0002] At present, the application of computer intelligence technology has been researched in many fields to design the parameters of PMSM motors. In these research works, the basic particle swarm optimization method was first proposed by Dr. Kennedy and Eberhart in 1995, which is also a modern genetic algorithm. Due to the simplicity and computational effectiveness of the method, the PSO method has been widely used in a wide range of optimization problems, such as adaptive adjustment of controller gain parameters and determination of system parameters. However, this method still has some problems and limitations in the application of controller parameter optimization. First of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/00H02P21/18
Inventor 宋正强杨辉玲张平陈旭肖丹
Owner 宋正强
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