A Temperature Control of Electric Kettle by Spider Monkey Optimization Based on PID Controller
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Abstract
This paper proposes an optimal PID controller design for temperature control of electric kettle by spider monkey optimization (SMO). The SMO is one of the powerful meta-heuristic optimization search methods. The sum squared errors between reference temperature and actual temperature of electric kettle is performed to minimize the objective function, and the experiment was carried out by testing the temperature control of electric kettles at 3 different temperature levels: 60, 80 and 100 degree Celsius. From the simulation results, it was found that the SMO was able to optimize the parameters of the PID controller with very effective responses. In addition, the simulation results are confirmed by the real experiment of the temperature control of electric kettle developed in the laboratory.
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References
A. O. Dwyer, Handbook of PI and PID Controller Tuning Rules, Imperial College Press, 2003.
X. S. Yang, Engineering Optimization: An Introduction with Metaheuristic Applications, John Wiley & Sons, 2010.
J. C. Bansal, H. Sharma, S. S. Jadon and Maurice Clerc, “Spider Monkey Optimization Algorithm for Numerical Optimization,” Memetic Computing 6, no.1, pp. 31–47, 2014.