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A Particle Swarm Optimization Method for Adaptive Club System Based on Prior Knowledge

A technology of particle swarm optimization and prior knowledge, applied in the direction of adaptive control, general control system, control/regulation system, etc., to achieve the effect of enhancing global search ability, accurate control, and appropriate transition process

Active Publication Date: 2022-07-22
HOHAI UNIV
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Problems solved by technology

[0007] The object of the present invention is to provide a kind of particle swarm optimization method of self-adaptive cue system based on prior knowledge, to solve the relevant technical problems in the prior art

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  • A Particle Swarm Optimization Method for Adaptive Club System Based on Prior Knowledge
  • A Particle Swarm Optimization Method for Adaptive Club System Based on Prior Knowledge
  • A Particle Swarm Optimization Method for Adaptive Club System Based on Prior Knowledge

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Embodiment Construction

[0048] Several improvements and modifications are made to the present invention below in conjunction with the accompanying drawings, and these improvements and modifications should also be regarded as the protection scope of the present invention. .

[0049] A particle swarm optimization method for adaptive club system based on prior knowledge, by improving nonlinear inertia weight, using adaptive change strategy including variation factor and fitness function combining prior knowledge and traditional performance integral, particle swarm optimization method is proposed. The swarm algorithm is improved, and the improved particle swarm optimization algorithm is used to find the equilibrium position for the proportional-integral-derivative controller of the club system to make the club system stable. The specific steps are as follows:

[0050] Step 1: Design a proportional speed compensator to control the internal motor control loop with little influence on the control effect of ...

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Abstract

The present invention proposes a particle swarm optimization method for adaptive club system based on prior knowledge, by improving nonlinear inertia weight, using adaptive change strategy including variation factor and fitness function combining prior knowledge and traditional performance integral , the particle swarm optimization algorithm is improved, and the improved particle swarm optimization algorithm is used to control the proportional-integral-derivative controller of the club system, so as to find the equilibrium position and make the club system stable; the invention provides an adaptive ball based on prior knowledge. The particle swarm optimization method of the rod system adopts the idea of ​​integrating prior knowledge into the improved particle swarm optimization method, makes full use of the results of each iteration of the algorithm, and improves the ability of the club system to deal with disturbances and the operating efficiency of the algorithm.

Description

technical field [0001] The invention relates to a particle swarm optimization method for an adaptive club system based on prior knowledge, and belongs to the field of swarm intelligence optimization control. Background technique [0002] The ball bar system consists of a metal ball and a track for it to roll freely. It has the characteristics of non-linearity, open-loop instability, and under-actuation, and the movement of the ball on the guide rail is very complicated, and the control is difficult and challenging. [0003] In order to solve the control difficulty of the club system, in recent years, more and more engineers and technicians have focused on researching the best control method of the club system, and proposed various control schemes of the club system to balance better and faster. cue system. [0004] Chinese Patent No.: CN109782595A, discloses a network predictive control method for a club system based on an event-triggered mechanism. According to the reconst...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 姜云逸李璟钰何超威
Owner HOHAI UNIV
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