Abstract:

Modeling and its parameter identification are investigated in glycerol bioconversion to 1,3propanediol (1,3PD) by Klebsiella pneumoniae (K.pneumoniae) in fedbatch cultures. Considering the discontinuity of adding glyceroland alkali in the process, a nonlinear multistage dynamical system is presented to formulate the process. Taking the minimal errors between the experimental data and calculated values as the performance index, we propose an identification model and prove the existence of optimal kinetic parameters. Finally, a hybridparticle swarm optimization (HPSO) algorithm is constructed to solve the identification model. Numerical results show that the error is reduced by 176％～4177％ and the proposed dynamical system can better formulate the fedbatch culture.

Key words: modeling; parameter identification; particle swarm optimizati on; 1,3propanediol; fedbatch fermentation