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Integral of time multiplied by absolute error ITAE = .
Integral of time multiplied by squared error ITSE = {
} .
Either one of the performance indices will integrate the error and produce a result of zero. Integral of absolute error IAE is mostly used for digital simulation while integral of
squared error ISE is used for analytical simulation. In long duration error response, integral of time multiplied by absolute error ITAE and integral of time multiplied by squared error
ITSE are used for system which requires fast settling time.
1.3 Objective of the Study
The main objectives of this research are to a.
Provide appropriate intelligent temperature controller for a comfortable room b.
Produce a more precise controller with Fuzzy logic in tuning the PID automatically c.
Optimize the PID constant with fuzzy logic d.
Obtain constant and peak performance by using performance indices ISE.
1.4 Scope of Study
This study will focus on the simulation through the software. The tuning of the fuzzy PID controller might take up thousand times and some suggestion on hardware was make for
future development. Performance indices ISE and IAE use to obtain the performance of this fuzzy PID control system. MATLAB R2009a is used as the simulator. Model M31E-1 series
of Permanent Magnet DC motor use as the plant of the system.
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1.5 Methodology of the Research
An extensive study on research is quite important part at the start of a research. Researching controller and its own function with doing the literature review. The knowledge
or information is study form journals, references book, online journal and advice from on field lecturer.
After an extensive study of literature reviews, the modeling on DC motor should be able be done before proceeding to design the controller tuning part. The main factor to model
is every different motor have it own parameter value, so that obtained transfer function only can be used for this motor. Next the transfer function will be using as plant transfer function
for PID and Fuzzy PD tuning. MATLAB R2009a is used to observe the output of the DC motor in Simulink to
determine whether the output is similar or same to the experimental result in order to use the transfer function in the next procedure. This software can accurately check or simulate in
short time provided the designed block diagram is correct. The PID and Fuzzy PD controller also use the Simulink software to design its own
block diagram for simulation. Overall procedure in this project concluded as Figure 1.1.
Since this project has to carry out in UTeM lab act as poultry, thus the temperature control range will be in 20°C to 27°C to suit the environment. Temperature sensor LM35 will
be used as the detection of temperature. In the mean while, a 20cm x20cm x 25cm box has been constructed by following the area ratio of real poultry farm to act as poultry real
situation.
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Figure 1.1 Flow of Simulation and Tuning Process
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1.6 Outline of project
