UWE Bristol Engineering showcase 2015

Yingling.Zhuo
Beng(HONS) Electronic Engineering
Self-tuning PID Controller Design For a Continuously Stirred Tank
Reactor
Project Supervisor:
Professor Quan Zhu
System Block Diagram
Self-tuning PID Controller with CSTR Model
Self-tuning Controller compare with PID Control
shows different states of the two curves. The blue curve and green curve are
self-tuning control result and PID control result, respectively. The result
shows, at same conditions, simple PID controller is unable to control the
temperature to target value, it will reach about 531.5 K after a sharp rise and
hardly to reach the target value, while the self-tuning PID controller has reach
the target value after oscillation.
System Architecture
The ‘Step’ is system reference input signal. The ‘adaptive controller’ is selftuning
PID controller, which is the core part of the system, it works to
estimate real-time parameters of system, calculation controller parameters
and controlled variable. ‘CSTR Subsystem’ is controlled object. ‘Output
result’ shows system output yy. ‘Output result1’ shows reactant
concentrations. ‘ID parameters’ shows system parameter estimates. The
‘adaptive controller’ has three inputs and two outputs.
Project summary
This project shows how a self-tuning PID controller to
control the temperature for the continuously stirred
tank reactor (CSTR) and behaviour in a desired
manner. Also, the project shows all steps which
included in the process, the following step are
modelling, simulation and analysis of difference of
controller parameter in order to identify the ideal of
the controller parameters. In addition, this project
will on basis of a practical example tries to use a
modelling of CSTR for control input and the
temperature output will have a feedback loop to pass
though the PID controller, and the PID controller will
auto adjust the heating temperature. Therefore, the
temperature can be maintained at the set
temperature of the reactor. All the process will be
built in Simulink.
Compare Two Self-tuning
Controllers Data Table
According to the table, these data
show when the sample time is
set 1ss, systems hardly to reach the
target value. Also results of 0.1ss
and 0.05ss are similarly. But when
the sample time is chose 0.1ss, the
system is easier to control.
CSTR model
This method is taking the advantage of the condenser heat transfer system. In
order to establish a mathematical model of CSTR can be assumed to be an entirety
product, below will show the following step of this method:
(1) The mixing is completed.
(2) The flow volume of into the material and outflow the material are same.
(3) The chemical reaction in the reactor is an irreversible exothermic reaction in
first order reaction.
Project Objectives
• CSTR working principle analysis
• Self-tuning PID controller design
• Simulation of Self-tuning PID controller with CSTR
• Collect relevant data from simulation
• Prepare a user-friendly demo/program manual
Project Conclusion
The control result is depending on the different
mathematical methods. In this project, two different
self-tuning controllers have been chosen for control
the system, which are zzzz2pppp and pppp2aa_1Controller.
According to the data from the table, zn2pi has been
chosen to control the CSTR system and shown a good
result in this project .