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A PMLSM iterative learning control method and system based on hybrid particle swarm optimization

A technology of iterative learning control and particle swarm optimization, applied in the field of iterative learning control methods and systems, can solve problems such as divergence and poor system convergence

Inactive Publication Date: 2018-12-18
SHENYANG POLYTECHNIC UNIV
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Problems solved by technology

However, in the traditional ILC control process, the iterative learning control gain is fixed, and the divergent component accumulation of the error signal in the iterative learning process will lead to poor convergence or even divergence of the system.

Method used

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  • A PMLSM iterative learning control method and system based on hybrid particle swarm optimization
  • A PMLSM iterative learning control method and system based on hybrid particle swarm optimization
  • A PMLSM iterative learning control method and system based on hybrid particle swarm optimization

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Embodiment Construction

[0070] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0071] The principle of the iterative learning control method of PMLSM based on hybrid particle swarm optimization in this embodiment is as follows: figure 1 Shown, including the use of hybrid particle swarm optimization Butterworth zero-phase low-pass filter and PID-type iterative learning controller, PI speed controller and the controlled object. The function of Butterworth zero-phase low-pass filter is to filter out the divergent component in the error signal before the next iteration; the ILC position controller is used to obtain the ideal control input signal, so that the controlled object can output high-precision tracking within a limited time and interval Trajectory; PI speed controller is used to effectively overcome the disturbance and improve the response characteristics of the speed loop; the controlled object is PMLSM.

[007...

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Abstract

The invention belongs to the technical field of numerical control machining control, in particular to an iterative learning control method and a system of PMLSM based on hybrid particle swarm optimization. Aiming at the repeatable or periodic controlled object, it has strict mathematical description, perfect theoretical system, and can control the nonlinear system without completely relying on theaccurate model of the system. Includes main circuit, control circuit and control object. The control object is a three-phase PMLSM with a grating scale installed on the fuselage. The main circuit isused for converting 220V alternating current into three-phase alternating current for driving PMLSM. The control circuit realizes iterative learning position control based on hybrid particle swarm optimization and PI speed control for PMLSM.

Description

technical field [0001] The invention belongs to the technical field of numerical control machining control, and in particular relates to an iterative learning control method and system based on hybrid particle swarm optimization PMLSM. Background technique [0002] In the past half a century, with the continuous improvement of the performance of power electronic devices and the maturity of direct drive control technology, the permanent magnet synchronous linear motors widely used in CNC machine tools have received widespread attention. A large number of related researches have been carried out, and quite remarkable results have been obtained. It is the future development trend for high-end CNC machine tools to be driven by linear motors. Large-thrust linear motors are becoming the key basic components of high-end CNC machine tools. The country will also give strong support and promotion to the research on linear motor control and drive technology. The new control technology...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P6/17
CPCH02P6/17
Inventor 王丽梅宋宏梅
Owner SHENYANG POLYTECHNIC UNIV
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