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Egbunugha, C. A.
- State Variable Feedback Control of Data Centre Temperature
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Authors
Affiliations
1 Department of Electrical and Electronic Engineering Technology, Covenant Polytechnic, Aba, NG
2 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
3 Department of Electrical and Electronic Engineering, Ken-Saro-Wiwa Polytechnic, Rivers State, NG
4 Department of Electrical and Electronic Engineering, Imo State Polytechnic, Umuagwo, NG
1 Department of Electrical and Electronic Engineering Technology, Covenant Polytechnic, Aba, NG
2 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
3 Department of Electrical and Electronic Engineering, Ken-Saro-Wiwa Polytechnic, Rivers State, NG
4 Department of Electrical and Electronic Engineering, Imo State Polytechnic, Umuagwo, NG
Source
International Journal of Advanced Networking and Applications, Vol 14, No 1 (2022), Pagination: 5250-5257Abstract
This paper presents temperature control and estimation using full state feedback controller with observer mechanism (FSFBCOM) in data centre. The temperature dynamic of a data centre was obtained in the form of transfer function and transformed into state space model. The system was initially modelled in MATLAB as an open loop system and simulation test was conducted to study the temperature characteristic performance of data centre without controller. The transient and steady state performance was presented in terms of time domain parameters: rise time, settling time, percentage overshoot, final value, and steady state error. The simulation result of the open loop system indicated a rise time of 1.41 min. (84.8 s), percentage overshoot of 0%, settling time of 2.68 min. (161 s), and final value to unit input is 10 °C, and steady state error of -9 °C. Simulation conducted when the designed FSFBCOM was introduced into the system showed that the performance parameters: rise time, percentage overshoot, settling time, final value, and steady state error became 0.41 min. (24.456 s), 0.232%, 0.8594 min. (51.564 s), 1 °C, and 0 °C respectively. Thus, the addition of the designed controller has improved the computer room temperature response performance of data-centre and provided good temperature estimation capacity even for different temperature values required of a data-centre.Keywords
Data Centre, Full State Feedback Controller, State Variable, Temperature.Full Text
References
- C. Gough, I. Steiner, and W. A. Saunders, Energy efficient servers: blueprints for data center optimization. New York: Apress Media, 2015.
- M. K. Patterson, The effect of data center temperature on energy efficiency. In: 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems. IEEE Xplore, 2008, pp. 1167-1174. DOI: 10.1109/ITHERM.2008.4544393.
- J. Deng, L. Yang, X. Cheng, and W. Liu, Self-tuning PID-type fuzzy adaptive control for CRAC in datacenters. In: 7th International Conference on Computer and Computing Technologies Agriculture (CCTA). Beijing: 2013, pp. 215-225. DOI: 10.1007/978-3-642-54344-9_27.
- N. M. S. Hassan, M.M.K. Khan and M.G. Rasul, Temperature monitoring and CFD analysis of data centre. In: 5th BSME International Conference on Thermal Engineering. Procedia Engineering, Elsevier, 2013, pp. 551-559. DOI: 10.1016/j.proeng.2013.03.159.
- D. King, The benefits of supply air temperature control in the datacenter. Future Facilities Limited, 2010. Available at: https://www.futurefacilities.com/resources/whitepapers/the-benefits-of-supply-air-temperature-control-in-the-datacenter/download
- C. Lee, and R. Chen, Optimal self-tuning PID controller based on low power consumption for a server fan cooling system. Sensors. 2015, vol. 2015, iss.15, pp. 11685-11700. DOI: 10.3390/s150511685.
- N. Lazic, T. Lu, C. Boutilier, M. Ryu, E. Wong, B. Roy, and G. Imwalle, Data center cooling using model-predictive control. In: 32nd Conference on Neural Information Processing Systems (NeurIPS, 2018). Montréal, Canada, 2018, pp. 1-10.
- J. Cho, B. Park, and Y. Jeong, Thermal performance evaluation of a data center cooling system under fault conditions. Energies. 2019, vol. 12, iss. 2996, pp. 1-16. DOI: 10.3390/en12152996.
- I. J. Nagrath, and M. Gopal, Control Systems Engineering. New Delhi, New: Age international Publishers, 2005. ISBN: 81-224-1700-0.
- F. Bakhshande, Observer-Based Robust Nonlinear Control Design. Duisburg, 2018. Thesis. University of Duisburg-Essen. Supervisor: Dirk Söffker.
- G. G. Suh, D. S. Hyun, J. Park, K. D. Lee and S. G. Lee, Design of a Pole placement controller for reducing oscillation and settling time in a two-inertia motor system. In: IECON’01. 27th Annual Conference of the IEEE Industrial Electronics Society. (Cat. No. 37243). IEEE Xplore, vol. 1, 2001, pp. 615-620. DOI: 10.1109/IECON.2001.976556.
- K. Zenger, and R. Ylinen, Pole placement of time-varying state space representations. In: Proceedings the 44th IEEE Conference on Decision and Control. IEEE Xplore,, 2005, pp. 6527-6532. DOI: 10.1109/CDC.2005.11583209.
- F. M. Rahmat, and S. M. Ramli, Servomotor control using direct digital control and state-space technique. Jurnal Teknologi. 2008, vol. 49, no. 1, 45–60. DOI: 10.1113/JT.V49.196.
- K.-K. Shyu, C.-K. Lai and J. Y. Hung, Totally invariant state feedback controller for position control of synchronous reluctance motor. In: IEEE Transaction on Industrial Electronics. 2001, vol. 48, no. 3, pp. 615-624. https://doi.org/10.1109/41.925589.
- N. S. Nise, Control Systems Engineering. Hoboken, NJ: Wiley, 2004. ISBN 0-471-44577-0.
- J. P. Anderson, State-space modelling, system identification and control of a 4th order rotational mechanical system. Monterey, 2009. Thesis, Naval Postgraduate School. Supervisor: Xiaoping Yun.