Data-based modelling and proportional-integral-plus (pip) control of nitrate in an activated sludge benchmark.
This paper presents the result of an investigation into the Proportional Integral Plus (PIP) control of nitrate in the second zone of an activated sludge benchmark. A data-based reduced order model is used as the control model and identified using the Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithm. The PIP control design is based on the Non Minimum State Space (NMSS) form and State Variable Feedback (SVF) methodology. The PIP controller is tested against dynamic load disturbances and compared with the response of a well tuned PI controller.
Ghavipanjeh
F
F
Centre for Research on Environmental Systems and Statistics, Lancaster University, LA1 4YQ, UK.
Taylor
C J
CJ
Young
P C
PC
Chotai
A
A
D019985:Benchmarking; D008962:Models, Theoretical; D009566:Nitrates / Q000378:metabolism*; D011786:Quality Control; D012722:Sewage / Q000737:chemistry*; D014865:Waste Disposal, Fluid / Q000379:methods
D009566:Nitrates; D012722:Sewage