GONG Yanhai, ZHANG Wei, XIONG Zhihua. Zinc-ion concentration control based on mechanical model of zinc electrowinning process[J]. CIESC Journal, 2013, (12): 4396-4400.
DOI:
GONG Yanhai, ZHANG Wei, XIONG Zhihua. Zinc-ion concentration control based on mechanical model of zinc electrowinning process[J]. CIESC Journal, 2013, (12): 4396-4400.DOI: 10.3969/j.issn.0438-1157.2013.12.019.
Zinc-ion concentration control based on mechanical model of zinc electrowinning process
Zinc electrowinning process is a typical large time-delay system
so zinc ion and acid concentration are difficult to control.To overcome the fluctuations of current density and zinc ion concentration in the feed
feedforward-feedback control strategy based on the mechanism model of zinc electrolytic is used.First
based on the model given by Scott
the key parameters such as the mass transfer coefficient are estimated and the energy consumption model is built.Then
a more complete zinc electrowinning process simulation model is established by adding the dynamic balance model of zinc ion concentration in the cell.For the situation such as the changes of current density and fluctuations of feed zinc ion concentration that affect the zinc ion concentration in the cell
feedforward-feedback control strategy is put forward
where the feedback loop uses PID
while the feedforward gain is calculated directly from the mechanistic models.Finally
the control strategy is verified using the simulation model
and the results show that this method is simple and effective.
Bimetallic Ni2P/Fe2P/Fe2O3@NF heterostructure catalyzes oxygen evolution reaction through coupled mechanism and promotes overall water splitting
Construction of Ni-N co-doped carbon aerogel and its performance in electrocatalytic reduction of CO2
Dynamic response characteristics of once-through steam generator secondary side under valve disturbances
Modeling and optimization of electrochemical ammonia synthesis
Design of self-optimizing control structure for continuous catalytic reforming reaction process based on surrogate model
Related Author
LI Jiarun
LUO Yongming
WEI Sichen
ZHAO Yajuan
HE Yingying
MA Mingyi
NIU Jiabao
YAN Xin
Related Institution
School of Chemistry and Chemical Engineering, Xi’an University of Architecture and Technology
Shaanxi Hanjiang Pharmaceutical Group Co., Ltd.
School of Chemistry and Chemical Engineering, Anhui Province Key Laboratory of Coal Clean Conversion Low-carbon Utilization, Anhui University of Technology
State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology
State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University