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Permanent magnet synchronous motor rotation speed controller based on recursive fuzzy neural network

A technology of fuzzy neural network and permanent magnet synchronous motor, which is applied in the direction of AC motor control, control system, software algorithm control, etc., can solve the problems of slow learning process and low control precision, and achieve fast system response, high control precision and precision The effect of speed control

Inactive Publication Date: 2018-04-27
WUXI OPEN UNIV
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Problems solved by technology

The fuzzy control has strong robustness, but the control precision is not high; the neural network has strong fault tolerance and self-learning function, but the learning process is slow

Method used

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  • Permanent magnet synchronous motor rotation speed controller based on recursive fuzzy neural network
  • Permanent magnet synchronous motor rotation speed controller based on recursive fuzzy neural network
  • Permanent magnet synchronous motor rotation speed controller based on recursive fuzzy neural network

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing and embodiment, technical scheme of the present invention is respectively from permanent magnet synchronous motor control system structure, recursive fuzzy neural network controller design, bat-artificial bee colony hybrid algorithm optimization recursive fuzzy neural network controller parameter, simulation and experimental verification etc. Four aspects are further elaborated, and the specific implementation methods are as follows:

[0042] 1. Structure of permanent magnet synchronous motor control system

[0043] The structure principle of the permanent magnet synchronous motor control system is as follows: figure 1 shown. The control system includes the current inner loop and the speed outer loop. The current regulator with bad current inside still adopts conventional PI control, which can generally meet the system control requirements. The speed outer loop is designed from the original conventional PI regulator into a ...

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Abstract

The invention discloses a permanent magnet synchronous motor rotation speed controller based on a recursive fuzzy neural network. The permanent magnet synchronous motor rotation speed controller combines a bat algorithm and an artificial bee colony algorithm to form a bat-artificial bee colony hybrid algorithm, which is used for optimizing structural parameters of a recursive fuzzy neural networkcontroller, and introducing the recursive fuzzy neural network controller into a rotation speed control system of a permanent magnet synchronous motor. A simulated and experimental analysis shows that: by adopting the recursive fuzzy neural network rotation speed controller optimized based on the bat-artificial bee colony hybrid algorithm, rapid response of a permanent magnet synchronous motor control system can be realized without overshoot, the control precision is high, the robustness is good, the anti-interference capability is high, and precise rotation speed control can be realized.

Description

technical field [0001] The invention relates to the technical field of permanent magnet synchronous motor control, in particular to a method for designing a speed controller of a permanent magnet synchronous motor based on a bat-artificial bee colony hybrid algorithm to optimize a recursive fuzzy neural network. Background technique [0002] Permanent magnet synchronous motor (referred to as PMSM) uses high-energy permanent magnet instead of electric excitation, no excitation coil and brush, small volume and loss, high operating efficiency and reliability, strong ability to adapt to the external environment, and its technical performance is better than permanent magnet brushless DC motors and induction motors have been widely used in low-power applications such as electrical transmission systems, CNC machine tools, and industrial robots. However, due to the characteristics of high-order, time-varying parameters, multi-variable, severe nonlinearity and strong coupling of perm...

Claims

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Application Information

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IPC IPC(8): H02P23/00H02P25/024H02P27/06G06N3/00
CPCG06N3/006H02P23/0077H02P25/024H02P27/06
Inventor 乔维德
Owner WUXI OPEN UNIV
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