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SOA-based PMLSM feed system PID parameter optimization method

A technology of feed system and optimization method, applied in general control system, control/adjustment system, instrument, etc., can solve problems such as thrust fluctuation and electrical control difficulties, and achieve fast recovery speed, flexible and adjustable fitness function, shock small effect

Inactive Publication Date: 2016-01-27
YANCHENG INST OF IND TECH
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AI Technical Summary

Problems solved by technology

[0002] At present, the grinding wheel feed drive of the crankshaft grinder generally adopts the permanent magnet linear synchronous motor PMLSM. The simplification of the mechanical links in the transmission chain of the PMLSM feed system brings difficulties in electrical control, such as system parameter changes, load disturbances and other factors. The influence of the linear motor will be directly reflected in the motion control of the linear motor, and there are also many disadvantages of simply applying the traditional PID controller to the PMLSM feed system due to the thrust fluctuation caused by the edge effect and the cogging effect.

Method used

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  • SOA-based PMLSM feed system PID parameter optimization method
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  • SOA-based PMLSM feed system PID parameter optimization method

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Embodiment Construction

[0011] The content of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0012] (1) The system block diagram of the PID parameter optimization method of PMLSM feed system based on SOA figure 1 As shown, from the voltage equation of PMLSM on the d-q coordinate system, the fully decoupled state equation can be obtained as:

[0013]

[0014] According to the above state equation, a simplified block diagram of the PMLSM feed servo system can be obtained as figure 1 shown.

[0015] figure 1 middle is the PMLSM electromagnetic thrust coefficient, is the back electromotive force constant of the motor.

[0016] (2) A schematic diagram of PID parameter tuning based on SOA PMLSM figure 2 As shown, the crowd search algorithm SOA and PID are combined, and the three parameters of the PID controller are optimized online. During the search process, SOA uses the fitness function value to judge t...

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Abstract

The invention provides an SOA-based PMLSM feed system PID parameter optimization method and belongs to the numerical control technical field and swarm intelligent algorithm field. According to the method of the invention, as for defects existing in application of a traditional PID controller to a permanent magnet linear synchronous motor PMLSM feed system, a seeker optimization algorithm (SOA) and a traditional PID algorithm are combined together so as to be applied to a PMLSM feed system; a penalty controlled fitness function is introduced into the SOA to evaluate a solution, so that the response of an original second-order system is similar to the response of a first-order system, namely, overshoot will not occur on the system. The method has the advantages of simplicity, fast convergence speed, high robustness and flexible and adjustable fitness function. With the SOA-based PMLSM feed system PID parameter optimization method adopted, a new idea can be provided for the optimal design of the control parameters of the PMLSM feed system.

Description

technical field [0001] The invention provides an SOA-based PID parameter optimization method of a PMLSM feed system, which belongs to the technical field of numerical control and relates to the field of swarm intelligence algorithms. Background technique [0002] At present, the grinding wheel feed drive of the crankshaft grinder generally adopts the permanent magnet linear synchronous motor PMLSM. The simplification of the mechanical links in the transmission chain of the PMLSM feed system brings difficulties in electrical control, such as system parameter changes, load disturbances and other factors. The influence of the linear motor will be directly reflected in the motion control of the linear motor, and there are also many disadvantages in the simple application of the traditional PID controller to the PMLSM feed system due to the thrust fluctuation caused by the edge effect and the cogging effect. [0003] The swarm intelligence algorithm belongs to the heuristic algor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 孙立香黄春香殷士勇王春模
Owner YANCHENG INST OF IND TECH
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