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The proportional-integral-derivative (PID) controller is the heart of every control system in the process industry. Given the proper setup and tuning, the PID has proven to have the capability and flexibility needed to meet nearly all of industry's basic control requirements. However, the information to support the best use of these features has fallen behind the progress of improved functionality. Additionally, there is considerable disagreement on the tuning rules that largely stems from a misunderstanding of how tuning rules have evolved and the lack of recognition of the effect of automation system dynamics and the incredible spectrum of process responses, disturbances, and performance objectives. This book provides the knowledge to eliminate the misunderstandings, realize the difference between theoretical and industrial application of PID control, address practical difficulties, improve field automation system design, use the latest PID features, and ultimately get the best tuning settings that enables the PID to achieve its full potential.
Process control. --- Feedback control systems. --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Control of industrial processes --- Industrial process control --- Manufacturing processes --- Quality control --- adaptive control --- advanced regulatory control --- analyzer response --- auto tuner --- automation system --- batch optimization --- bioreactor control --- cascade control --- compressor control --- control loop performance --- control valve response --- external reset feedback --- feedforward control --- inverse response --- lambda tuning --- level control --- measurement response --- pH control --- PID control --- PID execution rate --- PID filter --- PID form --- PID structure --- PID tuning --- pressure control --- process control --- process disturbances --- process dynamics --- process interaction --- process metrics --- process nonlinearity --- process performance --- process response --- proportional-integral-derivative controller --- reactor control --- runaway reaction --- temperature control --- valve deadband --- valve position control --- valve resolution --- variable frequency drive response --- wireless control --- wireless response
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Process monitoring and control are fundamental to all processes; this holds especially for bioprocesses, due to their complex nature. Usually, bioprocesses deal with living cells, which have their own regulatory systems. It helps to adjust the cell to its environmental condition. This must not be the optimal condition that the cell needs to produce whatever is desired. Therefore, a close monitoring of the cell and its environment is essential to provide optimal conditions for production. Without measurement, no information of the current process state is obtained. In this book, methods and techniques are provided for the monitoring and control of bioprocesses. From new developments for sensors, the application of spectroscopy and modelling approaches, the estimation and observer implementation for ethanol production and the development and scale-up of various bioprocesses and their closed loop control information are presented. The processes discussed here are very diverse. The major applications are cultivation processes, where microorganisms were grown, but also an incubation process of bird’s eggs, as well as an indoor climate control for humans, will be discussed. Altogether, in 12 chapters, nine original research papers and three reviews are presented.
bioenvironmental control --- model-predictive controller --- zonal controlling --- dynamic modelling --- flotation --- bioleaching --- frother --- mixed culture --- machine learning --- Raman spectroscopy --- downstream processing --- chromatography --- flow cell --- extended Kalman filter --- biotechnological processes --- bioreactor control --- specific growth rate control --- batch-to-batch reproducibility --- thermal sensation --- thermal comfort --- machine-learning --- prediction --- adaptive controlling --- thermal growth curve --- temperature modeling --- thermoregulation --- monitoring and control --- bioprocess engineering --- calorimetry --- biocontrol agent --- Bacillus subtilis natto --- isolation --- molecular identification --- medium optimization --- antimicrobial activity --- bactericides --- spectral analyses --- biological selenate reduction --- electron donor competition --- nitrate --- perchlorate --- sequencing batch --- Pseudomonas --- siderophores --- antagonism --- batch fermentation --- exponential fed-batch fermentation --- bio-friendly formulations --- biocontrol --- nonlinear state estimation --- geometric observer --- bioreactor --- continuous system --- model-based sensor --- well-defined macromolecules --- sequence-defined macromolecules --- sequence-defined polymers --- conjugated oligomers --- oligo(arylene ethynylene)s --- biosensors --- sensors --- process monitoring --- bioprocess monitoring and control --- signal noise management --- dielectric spectroscopy --- PAT --- microbial bioprocessing --- n/a
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Process monitoring and control are fundamental to all processes; this holds especially for bioprocesses, due to their complex nature. Usually, bioprocesses deal with living cells, which have their own regulatory systems. It helps to adjust the cell to its environmental condition. This must not be the optimal condition that the cell needs to produce whatever is desired. Therefore, a close monitoring of the cell and its environment is essential to provide optimal conditions for production. Without measurement, no information of the current process state is obtained. In this book, methods and techniques are provided for the monitoring and control of bioprocesses. From new developments for sensors, the application of spectroscopy and modelling approaches, the estimation and observer implementation for ethanol production and the development and scale-up of various bioprocesses and their closed loop control information are presented. The processes discussed here are very diverse. The major applications are cultivation processes, where microorganisms were grown, but also an incubation process of bird’s eggs, as well as an indoor climate control for humans, will be discussed. Altogether, in 12 chapters, nine original research papers and three reviews are presented.
Research & information: general --- Biology, life sciences --- bioenvironmental control --- model-predictive controller --- zonal controlling --- dynamic modelling --- flotation --- bioleaching --- frother --- mixed culture --- machine learning --- Raman spectroscopy --- downstream processing --- chromatography --- flow cell --- extended Kalman filter --- biotechnological processes --- bioreactor control --- specific growth rate control --- batch-to-batch reproducibility --- thermal sensation --- thermal comfort --- machine-learning --- prediction --- adaptive controlling --- thermal growth curve --- temperature modeling --- thermoregulation --- monitoring and control --- bioprocess engineering --- calorimetry --- biocontrol agent --- Bacillus subtilis natto --- isolation --- molecular identification --- medium optimization --- antimicrobial activity --- bactericides --- spectral analyses --- biological selenate reduction --- electron donor competition --- nitrate --- perchlorate --- sequencing batch --- Pseudomonas --- siderophores --- antagonism --- batch fermentation --- exponential fed-batch fermentation --- bio-friendly formulations --- biocontrol --- nonlinear state estimation --- geometric observer --- bioreactor --- continuous system --- model-based sensor --- well-defined macromolecules --- sequence-defined macromolecules --- sequence-defined polymers --- conjugated oligomers --- oligo(arylene ethynylene)s --- biosensors --- sensors --- process monitoring --- bioprocess monitoring and control --- signal noise management --- dielectric spectroscopy --- PAT --- microbial bioprocessing
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