Optimal Reagents Control for Flotation Processes: An Adaptive Dynamic Programming Approach

Li, Zhongmei; Huang, Mengzhe; Gui, Weihua; Hua, Yangchun; Zhu, Jianyong

doi:10.1109/cac48633.2019.8997264

Cited by 2 publications

(2 citation statements)

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“…The paper [3], states that the flotation process is still not fully understood, and remains quite inefficient if its proper control is overlooked. Column flotation is industrially known as a continuous solid to solid separation process [4] performed in a vessel where a three-phase system is present: solid particles, air bubbles, and water [1], [5], [6]. According to [7], this pulp is conditioned earlier with the controlled addition of small quantities of specific chemical reagents to promote the selective formation of aggregates between solid particles of a given composition and the air bubbles.…”

Section: Introductionmentioning

confidence: 99%

“…According to [7], this pulp is conditioned earlier with the controlled addition of small quantities of specific chemical reagents to promote the selective formation of aggregates between solid particles of a given composition and the air bubbles. The process is normally started in the presence of the feed inlet (liquid), air is injected continuously in the pulp where some air bubbles are formed [4], [8], [9]. The main control objective of the column flotation process is to improve the metallurgical execution to ensure that the column operation comes to the reference values necessary for the specified recovery and position of the concentrate stream, [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

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Decentralised PI controller design based on dynamic interaction decoupling in the closed-loop behaviour of a flotation process

Tshemese-Mvandaba

Tzoneva

Mnguni

2021

IJECE

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An enhanced method for design of decenralised proportional integral (PI) controllers to control various variables of flotation columns is proposed. These columns are multivariable processes characterised by multiple interacting manipulated and controlled variables. The control of more than one variable is not an easy problem to solve as a change in a specific manipulated variable affects more than one controlled variable. Paper proposes an improved method for design of decentralized PI controllers through the introduction of decoupling of the interconnected model of the process. Decoupling the system model has proven to be an effective strategy to reduce the influence of the interactions in the closed-loop control and consistently to keep the system stable. The mathematical derivations and the algorithm of the design procedure are described in detail. The behaviour and performance of the closed-loop systems without and with the application of the decoupling method was investigated and compared through simulations in MATLAB/Simulink. The results show that the decouplers - based closed-loop system has better performance than the closed-loop system without decouplers. The highest improvement (2 to 50 times) is in the steady-state error and 1.2 to 7 times in the settling and rising time. Controllers can easily be implemented.

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