Intriligator [l], Intriligator and Smith [2], Stoikov [3], Bolt, Koltun and Levine , and others, have investigated one aspect of allocating new doctoral scientists between teaching and research careers. In [1,2] the authors studied the allocation of new scientists by formulating the problem as a con
Experimental application of robust nonlinear control law to pH control
โ Scribed by Y.H. Wong; P.R. Krishnaswamy; W.K. Teo; B.D. Kulkarni; P.B. Deshpande
- Book ID
- 103010561
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 675 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0009-2509
No coin nor oath required. For personal study only.
โฆ Synopsis
An experimental application of RNCL to pH control is presented. The experimental setup consists of a computer controlled CSTR (continuous stirred tank reactor) and the control objective is to maintain the pH of a strong-acid strong-base system at the neutralization point in the presence of disturbances. The algorithms considered are PI (proportional-integral) control, nonlinear IMC (internal model control), and RNCL (robust nonlinear control law). The experimental results point to the excellent capability of RNCL for controlling pH in comparison to nonlinear IMC and PI control.
๐ SIMILAR VOLUMES
Abstmct-A simple mechanism that renders robustness to a nonlinear controller designed using an internal-model control (IMC) strategy is presented. A comparative study between this and the conventional IMC strategy for controlling the pH of a strong acid-strong base solution shows five orders of magn