A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production

Yang, Chunhua; Gui, Weihua; Kong, Lingjiang; Wang, Yalin

doi:10.1016/j.engappai.2008.11.003

Cited by 15 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in Wu et al (2015), the control objectives of a three-phase ac fused magnesium furnace are to control the product quality within a desired range and minimize the energy consumption per ton. In the alumina sintering production (Yang et al, 2009), to improve the quality of the first-time raw slurry, it is necessary to optimize the proportioning of raw material before the remixing operation. The practical running results show that the raw slurry preparing process is successfully simplified and the energy consumption is obviously reduced.…”

Section: Proposed Basic Conceptsmentioning

confidence: 99%

The least-time optimization for abnormity control of a complex industrial process

Wang

et al. 2018

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Modern complex industrial processes are prone to errors because of interactions between humans, the external environment and the equipment. When the abnormity degree of a system increases, the system can generate failures or even accidents, which result in serious economic loss or even personal casualties. Therefore, it is necessary to take effective measures to remove the abnormity as soon as possible. This problem can be described as the least-time optimization problem. This paper analyses an abnormity by summarizing and comparing related concepts in the researched results. Based on these concepts, a control strategy for the abnormity in a complex industrial process is proposed by analysing the experience of operators on site. Taking the abnormity in the thickening process of gold hydrometallurgy as an example, this paper explores how the abnormity control problem can be transformed into the least-time optimization problem. Technical and mechanical constraints are described. Simulation results indicate that the proposed strategy can assist the operators to regulate the control variables and recover the abnormity as soon as possible. This produces better performance than the existing regulations on site.

show abstract

Section: Proposed Basic Conceptsmentioning

confidence: 99%

The least-time optimization for abnormity control of a complex industrial process

Wang

et al. 2018

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…Along with the progress of the artificial intelligence, some intelligent control and optimization methods have been applied to the optimization and control of the blending process involved in many production processes. − In particular, a model-based expert control strategy using neural networks (NNs) was presented for the control of the coal blending process in an iron and steel plant, and it was implemented in an expert control system that contains an expert controller and a distributed controller. A new type of the Takagi-Sugeno fuzzy controller based on an incremental algorithm was reported for the cement raw material blending process .…”

Section: Introductionmentioning

confidence: 99%

Application of Intelligent Integrated Optimization System for Raw Material Proportioning in Lead–Zinc Sintering Blending Process

Wang

2012

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

The blending process as the first working procedure in lead–zinc sintering processes (LZSP) is a key step to guarantee the quality of products in the lead–zinc sintering production. This paper presents an intelligent integrated optimization system (IIOS) with a hierarchical configuration for raw material proportioning in the lead–zinc sintering blending process (LZSBP). First, considering the relationships between the mixture ratio and the production indices, back-propagation neural network (BPNN) models are established to predict the agglomerate compositions. Then, a raw material proportioning optimization strategy (RMPOS) is proposed to determine an optimal mixture ratio and actualize the optimization of the blending process. The proportioning optimization is implemented through qualitative and quantitative synthetic optimization for the primary proportioning, the zone optimization for the secondary proportioning, and the intelligent coordination between them. The practical running results demonstrate the validity of the proposed optimization strategies.

show abstract

“…In view of the facts that application problems have the characteristic of complexity, constriction, non linear, multiple minimum, and modeling difficulty. It has become a major research objective and an attractive research topic to explore the algorithm which has intelligent feature and suitable to large scale and parallel problems [1] [2]. Because of the challenges of optimization from varieties of complexities, optimization methods should have ability to overcome to trap in local minimum in searching process with the respect to the non linear and multiple minimum of the problem, to obtain high efficiency search with certain optimization quality to the large scale and NP-hard of problem, to balance different objectives to the multiple objective and high constriction of the problem.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Swarm Optimization Algorithm for Complex Assignment Problem

Liu

Cao

Yuan

2010

AMM

View full text Add to dashboard Cite

The optimization of complex systems, such as production scheduling systems and control systems, often encounters some difficulties, such as large-scale, hard to model, time consuming to evaluate, NP-hard, multi-modal, uncertain and multi-objective, etc. It is always a hot research topic in academic and engineering fields to propose advanced theory and effective algorithms. As a novel evolutionary computing technique, particle swarm optimization (PSO) is characterized by not being limited by the representation of the optimization problems, and by global optimization ability, which has gained wide attentation and research from both academic and industry fields. The task assignment problem in the enterprise with directed graph model is presented. Task assignment problem with buffer zone is solved via a hybrid PSO algorithm. Simulation result shows that the model and the algorithm are effective to the problem.

show abstract

A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production

Cited by 15 publications

References 12 publications

The least-time optimization for abnormity control of a complex industrial process

The least-time optimization for abnormity control of a complex industrial process

Application of Intelligent Integrated Optimization System for Raw Material Proportioning in Lead–Zinc Sintering Blending Process

A Hybrid Swarm Optimization Algorithm for Complex Assignment Problem

Contact Info

Product

Resources

About