Firew D. Olana

Work place: Mettu University/Department of Electrical and computer Engineering, Mettu, Ethiopia



Research Interests: Processor Design, Wireless Networks, Computational Science and Engineering, Computer Networks, Algorithm Design


Firew Dereje has received BSC degrees from Hawassa University, Ethiopia by Electrical and computer Engineering in 2013 and MSC degrees from Addis Ababa Science and Technology University, Ethiopia by Electrical Engineering (Control and instrumentation Engineering Specialization) in 2019. He is currently lecturer and Head of Electrical and Computer Engineering in Mettu University, Ethiopia, under College of Engineering and Technology. He has publication on ICAST 2019 and different international journals. His research interests are backhaul networks, power reliability, power quality, Controller Design, and IOT.

Author Articles
PID Temperature Controller Design for Shell and Tube Heat Exchanger

By Firew D. Olana Tadele A. Abose

DOI:, Pub. Date: 8 Feb. 2021

Heat exchangers are one of the most important thermal devices. Shell and tube heat exchangers are the common types of heat exchangers and sustained a wide range of operating temperature and pressure. Modeling and controlling heat exchanger system is a difficult assignment because of its nonlinearity. As the flow rates changes, the gain, time delay and time constant varies, hence causing system nonlinearity. The solution for such problems is finding acceptable mathematical model and design a controller which provides better performance indices. In this paper mathematical model (experimental or empirical based) to represent the real system and design suitable controller which remove the offset and settle fast with minimum steady state error has been proposed. To this end, system model design the Proportional-Integral-Derivative controller for shell and tube heat exchanger using Ziegler Nichols method, Cohen-coon method and Chein et al. method. Since two opposing dynamic effects are existing in the system and has a problem of dynamics of inverse response and large overshoot. Therefore, Chein et al. tuning method have better performance than that of the others. In case of Chein et al. the overshoot of 2.577 % and settling time of 63.1 s.

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