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Multizone barrel temperature control of the eccentric rotor extrusion process

  • Sheng-Ping Wen , Pei-Feng Hong EMAIL logo and Pei-Hui Huang
Published/Copyright: January 24, 2020
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Abstract

The eccentric rotor extruder is a new kind of extrusion equipment with novel structure and outstanding engineering performance. As the structure of the eccentric rotor extruder is different from that of the traditional screw extruder, the control of the barrel temperature becomes important, including avoiding the influence of heating coupling and achieving high control accuracy. A neuron proportional-integral-derivative (neuron-PID) control algorithm of barrel temperature for the eccentric rotor extruder is introduced. The neural self-learning algorithm is able to tune PID parameters online, and the particle swarm optimization (PSO) algorithm is adopted to optimize the initial weight coefficients of the neuron. The experimental results show that the PSO-neuron-PID controller has the advantages of low overshoot and high control accuracy, and the influence of heat coupling can be counteracted effectively.

Award Identifier / Grant number: 51435005

Award Identifier / Grant number: 51505153

Funding statement: The authors gratefully appreciate the Key Program of National Natural Science Foundation of China (grant no. 51435005), the National Natural Science Foundation of China (grant no. 51505153), and the Science and Technology Program of Guangzhou, China (grant no. 201802010008).

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Received: 2019-10-07
Accepted: 2019-12-13
Published Online: 2020-01-24
Published in Print: 2020-02-25

©2020 Walter de Gruyter GmbH, Berlin/Boston

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