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Linear induction motor drive system loss and normal force optimization control method and system

A linear induction motor and drive system technology, applied in motor generator control, AC motor control, electronic commutation motor control, etc., can solve problems such as lack of system-level optimization control methods

Active Publication Date: 2020-07-14
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the current control strategy of the linear induction motor drive system is mostly focused on the motor itself, failing to consider the influence of the inverter loss and normal force, and lacks a comprehensive and practical system-level optimization control method

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  • Linear induction motor drive system loss and normal force optimization control method and system
  • Linear induction motor drive system loss and normal force optimization control method and system
  • Linear induction motor drive system loss and normal force optimization control method and system

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Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0052] 1. Loss model of linear induction motor

[0053] Fig. 1 is a d-q-axis equivalent circuit of a linear induction motor in an embodiment of the present invention, wherein Fig. 1(a) is a d-axis equivalent circuit, and Fig. 1(b) is a q-axis equivalent circuit. In the figure, K r is the secondary resistance correction coefficient of the longitudinal edge effect, K x is the correction coeffic...

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Abstract

The invention discloses a loss and normal force optimization control method and system for a linear induction motor drive system, and belongs to the technical field of linear induction motors. According to the invention, the method comprises the steps: completely analyzing the loss of a linear induction motor and an inverter; respectively constructing a linear induction motor and inverter loss model; building a new optimization target function through combining a normal force influence and loss model, and proposing an optimal flux linkage which enables an optimization target function to be minimum. The method can achieve the effective reduction of the loss of the linear induction motor, the loss of the inverter and the size of the normal force under different conditions, and improves the operation performance of the drive system.

Description

technical field [0001] The invention belongs to the field of linear induction motors, and more specifically relates to a linear induction motor drive system loss and normal force optimization control method and system. Background technique [0002] The linear induction motor establishes an air gap traveling wave magnetic field through the primary three-phase current, and generates eddy currents in the secondary induction, and the primary and secondary interact to generate thrust. It is especially suitable for linear direct drive applications, such as rail transit, linear servo, etc. Due to the use of direct drive without the transmission device, the linear induction motor also has the advantages of large acceleration and deceleration, low mechanical wear, low noise, etc., and has been widely developed and used in recent years. [0003] However, since the mechanical air gap of the linear induction motor is generally large, the excitation inductance is small, the excitation cu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P25/062H02P21/00
CPCH02P21/0003H02P25/062
Inventor 徐伟胡冬佃仁俊
Owner HUAZHONG UNIV OF SCI & TECH