2015•Unpublished venueRequires access

Instrumentation and Control of Bioprocesses

Shigeo Katoh, Jun‐ichi Horiuchi, Fumitake Yoshida

Open publisher page 2 citations

Abstract

This chapter explains the basic principles of the instrumentation and control of bioprocess. It describes the instrumentation for monitoring the current status of bioprocess plants, focusing on the measurement of process variables as the basis of bioprocess control. A process variable is a parameter of the current status of a process under operation, and, therefore, the measurement of process variables is a key to understanding what is happening in a bioreactor and to being able to control the process. The goal of bioprocess control is to maintain important process variables in a bioreactor at a desired level regardless of time-dependent environmental changes. The chapter also discusses the applications of artificial intelligence (AI) approaches including fuzzy control, artificial neural network (ANN), and expert systems, to bioprocess control.

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What this paper is about

This chapter explains the basic principles of the instrumentation and control of bioprocess. It describes the instrumentation for monitoring the current status of bioprocess plants, focusing on the measurement of process variables as the basis of bioprocess control. A process variable is a parameter of the current status of a process under operation, and, therefore, the measurement of process variables is a key to understanding what is happening in a bioreactor and to being able to control the process. The goal of bioprocess control is to maintain important process variables in a bioreactor at a desired level regardless of time-dependent environmental changes. The chapter also discusses the applications of artificial intelligence (AI) approaches including fuzzy control, artificial neural network (ANN), and expert systems, to bioprocess control.

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Available abstract

This chapter explains the basic principles of the instrumentation and control of bioprocess. It describes the instrumentation for monitoring the current status of bioprocess plants, focusing on the measurement of process variables as the basis of bioprocess control. A process variable is a parameter of the current status of a process under operation, and, therefore, the measurement of process variables is a key to understanding what is happening in a bioreactor and to being able to control the process. The goal of bioprocess control is to maintain important process variables in a bioreactor at a desired level regardless of time-dependent environmental changes. The chapter also discusses the applications of artificial intelligence (AI) approaches including fuzzy control, artificial neural network (ANN), and expert systems, to bioprocess control.

Key concepts: Bioprocess, Instrumentation (computer programming), Process (computing), Process control, Engineering, Fuzzy control system, Control (management), Biochemical engineering

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