On-line digital computer control of slurry-conditioning in mineral flotation
β Scribed by R.P. King
- Publisher
- Elsevier Science
- Year
- 1974
- Tongue
- English
- Weight
- 729 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
Regelung einer Pochschlamm-Konditionierung in der Mineralflotation mit einem on-line Digitalrechner l-IpnMex~emte 3BM ~rtz ynpaBsteHvia qbstoTaurIe~ B peasn,HOM MacmTa6e BpeMenI, I R. P. KING]"
Difficult automatic control problems can be solved using modern stochastic estimation techniques with an on-line digital computer as illustrated by producing an accurately controlled slurry for a pilot mineral flotation plant.
Summary--A computer control strategy for an operating metallurgical process is described in this paper. A real process is modelled by a set of stochastic differential equations with state-dependent noise, and a practical nonlinear filter is developed for the estimation of the model parameters and the state variables. A separation principle is invoked and a sub-optimal control strategy is implemented.
Operating experience has shown that the estimation and control algorithms are effective.
NOMENCLATURE
A2 cross-sectional area of tank 2 a~ volumetric transfer rate from tank 2 to tank 1 a2 ratio: mass flowrate of solids/speed of belt a 3 average recycle rate F feedrate of slurry to the plant F, random water recycle rate h Β° set point for level in tank 2 Kktr, coefficients in the polynomial expansion kp proportional gain for tank-level controller L~ generalized nth order Laguerre polynomial *
π SIMILAR VOLUMES
Exigences vis h vis des matdriels p6riph6riques, des capteurs et des calculateurs pour les syst~mes de rdglage StoBstellenanforderungen, Wandler und Rechner far on-line-Systeme Tpe6oBaH14n rtpezi~B.naeMble r nepx, Iqbepx,lqeCroMy o6opy/IoBaHmo, r )IaTqnKaM 14 K BblHI4CMPITeMbHbIM yCTpOfiCTBaM )I.rI~
A dual type method for solving discrete optimal control problems with linear plant and convex cost and constraints is presented. This method takes maximum advantage of the dynamic structure of the problem. Summary--First, it is shown how ill conditioning effects may arise when discrete optimal cont