High efficiency far-infrared barrel heating control with excess heat prediction based on generalized predictive control in injection molding

Pan, Yifeng; Xie, Jun; Zhang, Chengqian; Zhu, Xiaocong; Zhao, Peng

doi:10.1016/j.ijheatmasstransfer.2023.124756

Cited by 2 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, in order to reduce the impact of time delay, many Smith predictor-based methods are used to modify PID controllers [16,17]. Due to the nonlinear heating response of infrared radiation heaters, as well as the inconsistent heating transfer function at high and low temperatures [18], it is extremely important to identify the transfer function of the system. The major system identification methods include the step response method, least squares method, neural network method, etc.…”

Section: Introductionmentioning

confidence: 99%

Grouping Neural Network-Based Smith PID Temperature Controller for Multi-Channel Interaction System

Li,

Yang,

et al. 2024

Electronics

View full text Add to dashboard Cite

The thermal vacuum test (TVT) is an important verification process in the development of spacecraft and load. There are often multiple temperature points on the device under test (DUT) that require control. The interaction among multiple channels poses a challenge for temperature control in the TVT. To solve this problem, a multi-channel Smith proportional–integral–derivative (PID) controller based on a grouping neural network (Grouping-NN) is proposed. Firstly, the mathematical derivation for a typical multi-channel temperature control model of the TVT is carried out. Then, the multi-channel interaction system is identified using a Grouping-NN to predict the output temperature of each channel by grouping the hidden layer neurons according to the number of channels. Finally, two Grouping-NNs are utilized to update the Smith predictor, and the time-delay error is fed back to the PID controller, which is used to optimize the control effect of the multi-channel interaction system under high time delay. The proposal is compared with the traditional PID controller and Smith predictor-based PID controller through simulation. The simulation results show that the proposed method has better suppression of overshooting. In addition, the algorithm is verified by controlling the temperature of six channels in a practical thermal vacuum test.

show abstract

Section: Introductionmentioning

confidence: 99%