Overordnede kursusmål
Typical chemical plants may contain hundreds of measurements and
control loops. Most control theories (those you have seen in the
introduction to process control) assume that a control structure is
already given at the start, which reduces the problem to tuning and
calculation of a control law. In practice, however, given a plant
design with its process flow diagram, a control engineer faces the
following problems: i) which variables should be controlled, ii)
which variables should be measured, iii) which inputs should be
manipulated, and iv) which links should be established between
them? These are the questions that the plantwide control course
addresses. To this end, a systematic methodology based on
hierarchical decomposition of the control problem into layers is
used for designing a plantwide control structure based on process
understanding and with an economic production objective in mind.
The performance of the control structure is then evaluated and
further refined using dynamic simulations of the process in
question in an iterative manner.
The goal of the course is thus to learn i) how data acquisition and
controls are managed in an industrial setting; ii) to manage the
complicated task of designing a control strategy for the entire
plant or a multivariable process; iii) to understand process
dynamics using dynamic simulations and process data; vi) to develop
and implement a control strategy that meets control design
objectives (stabilize the system, optimize the economics,
environmental sustainability and satisfy the constraints); and v)
evaluation of alternative solutions. Ultimately all these efforts
are to help develop and operate better, safer, and optimal
processes for chemical and biochemical industries.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
- Analyse and tune PID control loop
- Explain how some relevant signals (temperature, pressure, flow
rate) are acquired
- Perform a basic data visualization and analysis in Python
- Describe industrial control systems infrastructure
- Perform a systematic analysis of the operation of chemical and
biochemical process plants
- Derive a control structure based upon the process analysis
- Calculate the optimal point of operation and process schedules
for the control system
- Derive simple linear models for control design from complex
process systems
- Analyse observability and controllability of a dynamical
system
- Design multivariable PID control structures
- Design model based multivariable control structures
- Evaluate controller's performance using simulation and
dynamic process model
Kursusindhold
This course will start with a fast recap of development and design
of single loop control using feedforward and feedback with PID
control. Special emphasis will be given to controller tuning and
troubleshooting of poor performance before delving into control
systems instrumentation, Distributed Control System (DSC) and
Supervisory Control and Data Acquisition (SCADA) system, data
communication protocols and process historians.
Following this, the course will introduce the plantwide challenges
for control systems and discuss different approached for process
optimization in both continuous and batch manufacturing systems and
the implications for this type of production planning at the
control and operation level.
In the last part of the course method for multivariable and
model-based control are introduced and special focus is given to
control of bioreactors in batch and fed-batch operation.
Sidst opdateret
26. august, 2024