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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 14 | Page No.: 1570-1575
DOI: 10.3923/jas.2014.1570.1575
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Model Identification Comparison of Different Controllers for Humidity Process

H. Kala, S. Abirami, S. Muthumari and S. Venkatesh

Maintaining humidity at a desired value is of prime importance in several industries such as textile, food processing and pharmaceutics to achieve the product quality. In this study a laboratory scale humidity setup was developed. By introducing step change in inlet flow rate the response in terms of RH was recorded. From the data, a model for the humidity setup was identified. The model identified best fitted with first order plus dead time model. For the identified model, different control strategies such as Ziegler Nichols based Proportional Integral Controller (ZNPID), Skogestad based Internal Model Controller (SIMC) and Fuzzy based PID controller (FUZZYPID) were tested in MATLAB environment. The performance of the controllers based on time domain specifications like rise time, settling time and overshoot were studied. Among the developed controllers FUZZYPID outperformed the others.
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  •    Identification and Trajectory Control of a Manipulator Arm Using a Neuro-Fuzzy Technique
  •    Optimal Design of Neural Fuzzy Inference Network for Temperature Controller
  •    Design and Implementation of CDM-PI Control Strategy in a pH Neutralization System
  •    Design of Intelligent Controller for Non-Linear Processes
How to cite this article:

H. Kala, S. Abirami, S. Muthumari and S. Venkatesh, 2014. Model Identification Comparison of Different Controllers for Humidity Process. Journal of Applied Sciences, 14: 1570-1575.

DOI: 10.3923/jas.2014.1570.1575






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