Work place: Addis Ababa institute of technology/School of Electrical engineering, Addis Ababa, Ethiopia

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Research Interests: Engineering, Electrical Engineering, Energy Engineering

Biography

Tadele Abera has received BSC degrees from Hawassa University, Ethiopia by Electrical Engineering in 2011 and MSC degrees from Addis Ababa University, Ethiopia by Electrical Engineering (Communication Engineering Specialization) in 2014. He was test and commissioning Engineer in different electric power upgrading projects in Ethiopia. He is currently University lecturer in Ethiopia, under School of Electrical and Computer Engineering. He has publications on ICAST 2019 and different international journals. His research interests are cognitive radio, massive MIMO, millimeter wave communication, backhaul networks and interference management techniques. His research interest extends to power systems and control including power reliability, power quality, PID controllers and MPC.

##### PID Temperature Controller Design for Shell and Tube Heat Exchanger

DOI: https://doi.org/10.5815/ijem.2021.01.05, 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.