Modeling, Optimization, and Control Design for Biological Systems

• Main Authors: Ming-Feng Jang, 詹明峯
• Other Authors: Yi-Shyong Chou
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/13287108927746391491

博士 === 國立臺灣科技大學 === 化學工程系 === 101 === In this study, we explore the biological systems at three different levels, modeling, optimization and control design. Model development which is an important mathematical tool for biological systems would increase value and applicability of experimental data. It serves as a basis for the extended application in process design and control design of bioprocesses. Constructing the models for lactic acid and bioethanol fermentation processes are demonstrated. The technology of biological system modeling with parameter estimation is discussed. A new technique for searching parameter estimation procedure was proposed to successfully speed up the optimization computation, especially applicable to the large search parameter domain. Optimal design for process mode and operating conditions would affect the performance of biological systems on production and economic. The goal of process optimization is to do find the optimal conditions for enhanced bioprocess performance. Finally, robust back-stepping controller design and linear multi-model predictive controller design were proposed to deal with the problem of biological systems contained the uncertainties. Simulation results showed the proposed control schemes successfully drive the output of the continuous bioreactor to its desired trajectory.