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Model predictive control for wastewater treatment process with feedforward compensation
- Source :
- Chemical Engineering Journal, Chemical Engineering Journal, Elsevier, 2009, 155 (1-2), pp.161-174. ⟨10.1016/j.cej.2009.07.039⟩
- Publication Year :
- 2009
- Publisher :
- HAL CCSD, 2009.
-
Abstract
- International audience; Being an optimizing technology, model predictive control (MPC) can now be found in a wide variety of application fields. The main and most obvious control goal to be achieved in a wastewater treatment plant is to fulfill the effluent quality standards, while minimizing the operational costs. In order to maintain the effluent quality within regulation-specified limits, the MPC strategy has been applied to the Benchmark Simulation Model 1 (BSM1) simulation benchmark of wastewater treatment process. After the discussion of open loop responses of outputs to manipulated inputs and measured influent disturbances, the strategies of feedback by linear dynamic matrix control (DMC), quadratic dynamic matrix control (QDMC) and nonlinear model predictive control (NLMPC), and improvement by feedforward based on influent flow rate or ammonium concentration have been investigated. The simulation results indicate that good performance was achieved under steady influent characteristics, especially concerning the nitrogen-related species. Compared to DMC and QDMC, NLMPC with penalty function brings little improvement. Two measured disturbances have been used for feedforward control, the influent flow rate and ammonium concentration. It is shown that the performance of feedforward with respect to the influent ammonium concentration is much higher than for the feedforward with respect to the influent flow rate. However, this latter is slightly better than the DMC feedback. The best performance is obtained by combining both feedforward controllers with respect to the influent ammonium concentration and flow rate. In all cases, the improvement of performance is correlated with more aeration energy consumption
- Subjects :
- 0209 industrial biotechnology
Engineering
General Chemical Engineering
QDMC
02 engineering and technology
Wastewater treatment
BSM1 benchmark
Industrial and Manufacturing Engineering
Feedforward
020901 industrial engineering & automation
020401 chemical engineering
Control theory
Model predictive control (MPC)
DMC
Environmental Chemistry
Penalty method
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
0204 chemical engineering
business.industry
Simulation modeling
Open-loop controller
Feed forward
General Chemistry
Energy consumption
6. Clean water
Model predictive control
Wastewater
Benchmark (computing)
business
Subjects
Details
- Language :
- English
- ISSN :
- 13858947
- Database :
- OpenAIRE
- Journal :
- Chemical Engineering Journal, Chemical Engineering Journal, Elsevier, 2009, 155 (1-2), pp.161-174. ⟨10.1016/j.cej.2009.07.039⟩
- Accession number :
- edsair.doi.dedup.....cdfd69974644edc758fbd7518d254fba