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An automatic balance control method based on APSO-BP for double counterweight plates

A technology of automatic balance and control method, applied in the direction of instrument, design optimization/simulation, calculation, etc., can solve the problems of falling into local convergence, weights are not updated, and algorithms are prone to premature maturity, so as to maintain population diversity, clear steps, improve effect of possibility

Active Publication Date: 2019-01-11
BEIJING UNIV OF CHEM TECH
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Problems solved by technology

However, the weight of this particle swarm algorithm is not updated, and the algorithm is prone to premature or local convergence, and the patent does not involve the dynamic balance control algorithm

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  • An automatic balance control method based on APSO-BP for double counterweight plates
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  • An automatic balance control method based on APSO-BP for double counterweight plates

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Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] The present invention is an APSO-BP-based automatic balance control method for double counterweight plates, specifically implemented according to the following steps:

[0049] Step 1. Establish a rotor dynamics simulation model. The actual rotor system is transformed into a discretized model with finite degrees of freedom by using the transfer matrix method, and the rotor dynamics simulation of the shaft system is carried out by Matlab software to establish the dynamic response of the rotor unbalance.

[0050] Step 2. Obtain training samples. In the simulation model, the speed is gradually increased, the phase of the two balance plates is changed randomly, and the unbalance is added somewhere on the shaft, and the vibration response is obtained and saved during operation.

[0051] Step 3. Extract training data and test data. That is, use the Load fu...

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Abstract

The invention discloses an automatic balance control method based on APSO-BP for double counterweight plates. Based on a BP neural network, balance data of each time are fully utilized and the balancing parameters are fitted and optimized to realize automatic balancing control. The input parameters are the initial position A1 and B1 of the two balancing blocks, rotating speed N, unbalance force (shown in the description), the optimization objective is system vibration response (shown in the description), and the optimal output is the target positions A2, B2 of the two balancing blocks. Basedon the initial position, rotational speed and system vibration response of the counterweight, the BP neural network is used to fit the system vibration value, and the adaptive particle swarm optimization is used to obtain the optimal target position of the two counterweight blocks. The invention can effectively optimize the particle swarm optimization based on the neural system fitting input-output relationship by using the improved adaptive weight adjustment method, which is conducive to promoting global optimization, accelerating the convergence rate and increasing the accuracy of the automatic balance system control and the effectiveness of the data.

Description

technical field [0001] The invention belongs to the technical field of active vibration control of rotating machinery and artificial intelligence, and in particular relates to an automatic balance control method for double counterweight plates based on APSO-BP (adaptive particle swarm optimization + BP neural network). Background technique [0002] Automatic balancing technology can effectively reduce the unbalanced vibration of the rotor system in real time. At present, it has industrial applications in high-precision grinding machines, turboprop-propeller and other rotating machinery, and the vibration reduction effect is remarkable. The control algorithm of automatic balance is an important factor affecting the vibration reduction effect of automatic balance. The current mature dynamic balance algorithm is mostly aimed at constant-speed steady-state conditions, but practical applications are mostly unsteady-state conditions. Take turboprop-propeller as an example , the ro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/06Y02T90/00
Inventor 陈立芳晏资文李兆举周博
Owner BEIJING UNIV OF CHEM TECH
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