English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Multivariable nature of the flotation process compels advanced control strategies, including Model Predictive Controllers (MPC), leading to robust and effective compensation of disturbances. However, the complexity of calculations and implementation has limited their application in the industry. On the other hand, decoupling methods promise drastic reduction in computation time and complexity, while considering the multivariable relations between the inputs and outputs indirectly. Therefore, in this paper, an Adaptive Decoupling Controller (ADC) was designed and implemented on a pilot flotation column and its control performance was compared to MPC and SISO PID. Results showed that the weak coupling of variables in the studied case (and also reported by other researchers) causes a satisfactory control of the column by ADC, even better than the MPC in terms of Integral Squared Error index (ISE), Mean Squared Error index (MSE) and total energy consumption, with lower costs of computation and implementation.

An Adaptive Decoupling Control Design for Flotation Column: A Comparative Study Against Model Predictive Control