Control of nonlinear bioreactor system using a robust multivariable control design methodology

Conference · Thu Jan 01 04:00:00 EST 1987

OSTI ID:6104371

Wang, T W; Moore, C F; Birdwell, J D

This paper describes the simulation results of applying a robust multi-variable control design methodology to a nonlinear bacterial growth system. The modeling for the growth system is through an unstructured modeling approach based on component balance. The model is represented by state-space format with white noises present in both the dynamic as well as the measurement processes. The control objective is to operate the system close to a chosen set point in a stable manner in the presence of external perturbations and internal model uncertainty. The nonlinear system was first linearized around a nominal operating point. Then, the control design methodology of linear-quadratic-Gaussian/loop-transfer-recovery (LQG/LTR) was used in conjunction with an expert system, CASCADE, to arrive at the Kalman-filter and the regulator gains. Computer simulation, using the original nonlinear equations to generate the ''raw'' measurements, showed that the closed-loop system remains stable in the presence of up to 15% variations in the system parameters. This robust controller design approach has strong application potential to industrial systems employing biotechnical processes in the production of foods, pharmaceuticals, and related products.

• OSTI ID: 6104371
• Report Number(s): CONF-870323-
• Country of Publication: United States
• Language: English

Related Subjects

09 BIOMASS FUELS
140504* -- Solar Energy Conversion-- Biomass Production & Conversion-- (-1989)
99 GENERAL AND MISCELLANEOUS
990210 -- Supercomputers-- (1987-1989)
BACTERIA
BIOREACTORS
BIOTECHNOLOGY
CLOSED-LOOP CONTROL
COMPUTER-AIDED DESIGN
COMPUTERIZED CONTROL SYSTEMS
COMPUTERIZED SIMULATION
CONTROL
CONTROL SYSTEMS
GROWTH
MICROORGANISMS
NONLINEAR PROBLEMS
PLANNING
SIMULATION