Unlock instant, AI-driven research and patent intelligence for your innovation.

Fuzzy Adaptive Sliding Mode Control Method and System Based on Differential Evolution Algorithm Optimization

A differential evolution algorithm and fuzzy self-adaptive technology, applied in control systems, vector control systems, control generators, etc., can solve problems such as the complexity of the design process, to suppress chattering, ensure rapidity, improve robustness and resistance The effect of interference ability

Active Publication Date: 2021-12-31
ZHEJIANG SCI-TECH UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present application provides a fuzzy self-adaptive sliding mode control method and system based on differential evolution algorithm optimization, which solves the problem of complicated design process of the existing method, constant value of sliding mode gain, and chattering when the system is disturbed by the outside world. For technical problems arising in varying degrees, the intelligent algorithm is used to study the optimized sliding mode algorithm, so that the sliding mode gain can be adaptively adjusted according to external changes, which can effectively improve the robustness, stability and rapidity of the permanent magnet synchronous motor controller , effectively reduce chattering phenomenon

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fuzzy Adaptive Sliding Mode Control Method and System Based on Differential Evolution Algorithm Optimization
  • Fuzzy Adaptive Sliding Mode Control Method and System Based on Differential Evolution Algorithm Optimization
  • Fuzzy Adaptive Sliding Mode Control Method and System Based on Differential Evolution Algorithm Optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] figure 1 and figure 2 They are respectively the step flow chart and schematic diagram of the fuzzy adaptive sliding mode control method based on differential evolution algorithm optimization provided in Embodiment 1 of the present application, and the described fuzzy adaptive sliding mode control method based on differential evolution algorithm optimization includes the following steps :

[0077] Step S1, establishing the sliding mode speed controller model of the permanent magnet synchronous motor, and deriving the speed control law;

[0078] use i d = 0 rotor field oriented control method, i d Indicates the DC current of the permanent magnet synchronous motor. In order to ensure that the three-phase PMSM drive system has better dynamic quality, the exponential reaching law method is used to obtain the control law of the sliding mode speed controller of the permanent magnet synchronous motor as follows:

[0079]

[0080] In formula (1), D is the motor paramete...

Embodiment 2

[0117] Based on the method in Embodiment 1, this embodiment provides a fuzzy adaptive sliding mode control system optimized based on differential evolution algorithm.

[0118] Figure 9 It is a schematic structural diagram of the fuzzy adaptive sliding mode control system optimized based on the differential evolution algorithm provided in this embodiment. The fuzzy adaptive sliding mode control system optimized based on the differential evolution algorithm includes a PMSM module, a coordinate transformation module, and a differential evolution algorithm. Algorithm-optimized fuzzy sliding mode controller, torque current regulator, excitation current regulator, SVPWM module, three-phase inverter, sensor module, etc.

[0119] combine Figure 10 ,in,

[0120] Permanent magnet synchronous motor PMSM, used to output three-phase winding current i a i b i c ;

[0121] A coordinate transformation module, including a Clark transformation module, a Park transformation module and a ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fuzzy self-adaptive sliding mode control method and system based on differential evolution algorithm optimization. Firstly, the sliding mode speed controller model of a permanent magnet synchronous motor is established, and the speed control law is derived; then, the speed deviation and the sliding mode surface are calculated; Digital representation of fuzzy rules; fuzzy processing of the sliding surface and its derivatives as input; checking the initial fuzzy rule table; defuzzification of the parameters to be optimized as output; finally calculate the output of the controller, and use the differential evolution algorithm to perform fuzzy rules Optimize the selection until the optimal index converges to the minimum value, and select the optimal fuzzy rule table. The present invention adopts the differential evolution algorithm to optimize the fuzzy rules in the fuzzy sliding mode controller, automatically realizes the optimal adjustment of the gain parameters in the exponential reaching law in the sliding mode algorithm, and designs a fast response, small overshoot, and robust The permanent magnet synchronous motor sliding mode controller with good stickiness meets the requirements of the permanent magnet synchronous motor speed control system in the field with high performance requirements.

Description

technical field [0001] The invention relates to a fuzzy self-adaptive sliding mode control method and system based on differential evolution algorithm optimization, belonging to the technical field of AC motor control. Background technique [0002] The permanent magnet synchronous motor is a nonlinear, strongly coupled multivariable system, which requires high control precision and strong system stability in practical applications. The traditional PI control method cannot meet the actual requirements, and the PI parameters are set blindly and cannot be adjusted adaptively according to external changes. In contrast, the sliding mode control algorithm can adjust the voltage output according to the current state of the motor (such as deviation and its derivatives, etc.), forcing the system to move according to the predetermined "sliding mode" state trajectory. [0003] The permanent magnet synchronous motor system itself has many unfavorable factors such as complexity and nonl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/00H02P21/05H02P21/18
CPCH02P21/0007H02P21/0017H02P21/05H02P21/18
Inventor 郭亮郑超丁浩
Owner ZHEJIANG SCI-TECH UNIV