This paper presents the design and application of fractional single-input-single-output (SISO) controllers to
a grinding mill circuit, which is a multiple-input-multiple-output (MIMO) process. Two kinds of controllers
are presented: fractional order proportional-integral (FOPI) controllers, and a combination of FOPI and
fractional order model reference adaptive controllers (FOMRAC). The parameters of the controller are tuned
using o -line particle swarm optimization. In the presence of disturbances and process noise, the SISO
fractional controllers achieve similar or better performance compared to Linear Model Predictive Control
Botha, Stefan; Le Roux, J.D. (Johan Derik); Craig, Ian K.(Elsevier, 2018-07)
A hybrid non-linear model predictive controller (HNMPC) is developed for a run-of-mine ore grinding mill circuit. A continuous-time grinding mill circuit model is presented with a hydrocyclone cluster as the primary ...
Bui, Binh; De Villiers, Charl Johannes(Elsevier, 2017-11)
The paper examines the types and role of carbon management control systems by analysing in-depth interviews undertaken with 38 individuals from 30 organizations that use carbon management control systems. The paper identifies ...
Ma, Yulin; Li, Zhixiong; Malekian, Reza; Zhang, Rui; Song, Xianghui; Sotelo, Miguel Angel(Institute of Electrical and Electronics Engineers, 2018-06)
This paper proposes a variable structure control approach for vehicles platooning based on a hierarchical fuzzy logic. The leader-follower vehicle dynamics with model uncertainties is discussed from the viewpoint of a ...