A simulation of a fuel gas blending process and its measurement system is proposed as a benchmark
test case for advanced control and state estimation. The simulation represents an industrial facility and
employs a well-established software environment. The objective is to maintain four controlled variables
within specified bounds while minimizing an economic performance index. The controlled variables are
the fuel gas pressure and three measures of gas quality. Six feed gas flow rates may be adjusted to achieve
the objective. Each has a limited availability.
The benchmark consists of three reproducible scenarios, each a 46-h period during which 23 discrete
upsets occur and the feed gas compositions vary gradually with time. A benchmark multi-loop
feedforward–feedback structure is described, tested, and compared to an estimate of optimal performance.
The operating cost provided by the benchmark controller is from 1.19 to 1.71 times higher than
the estimated minimum.
Readers are challenged to download the simulation model, benchmark controller and estimated optimal
performance from the URL given in this paper, and to devise case studies of advanced state estimation
and control strategies to better the proposed benchmark controller.
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 ...
Bauer, Margret; Auret, Lidia; Le Roux, Derik; Aharonson, Vered(Elsevier, 2018)
Control loop performance monitoring methods to detect problems in PID loops are developed and tested using industrial data sets. The data is captured from the process, passed on to the researcher who tries out new detection ...
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 ...