An improved neuroendocrine–proportional–integral–derivative controller with sigmoid-based secretion rate for nonlinear multi-input–multi-output crane systems
This paper proposes an improved neuroendocrine–proportional–integral–derivative controller for nonlinear multi-input–multi-output crane systems using a sigmoid-based secretion rate of the hormone regulation. The main advantage of the sigmoid-based secretion rate neuroendocrine–proportional–integral–...
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| Vydáno v: | Journal of low frequency noise, vibration, and active control Ročník 39; číslo 4; s. 1172 - 1186 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London, England
SAGE Publications
01.12.2020
Sage Publications Ltd SAGE Publishing |
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| ISSN: | 1461-3484, 2048-4046 |
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| Abstract | This paper proposes an improved neuroendocrine–proportional–integral–derivative controller for nonlinear multi-input–multi-output crane systems using a sigmoid-based secretion rate of the hormone regulation. The main advantage of the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative is that the hormone secretion rate of neuroendocrine–proportional–integral–derivative can be varied according to the change of error. As a result, it can provide high accuracy control performance, especially in nonlinear multi-input–multi-output crane systems. In particular, the hormone secretion rate is designed to adapt with the changes of error using a sigmoid function, thus contributing to enhanced control accuracy. The parameters of the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller are tuned using the safe experimentation dynamics algorithm. The performance of the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller-based safe experimentation dynamics algorithm is evaluated by tracking the error and the control input. In addition, the performances of proportional–integral–derivative and neuroendocrine–proportional–integral–derivative controllers are compared with the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative performance. From the simulation work, it is discovered that the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative design provides better control performances in terms of the objective function, the total norm of error and the total norm of input compared to proportional–integral–derivative and neuroendocrine–proportional–integral–derivative controllers. In particular, it is shown the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller contributes 5.12% of control accuracy improvement by changing the fixed hormone secretion rate into a variable hormone secretion rate based on the change of error. |
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| AbstractList | This paper proposes an improved neuroendocrine–proportional–integral–derivative controller for nonlinear multi-input–multi-output crane systems using a sigmoid-based secretion rate of the hormone regulation. The main advantage of the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative is that the hormone secretion rate of neuroendocrine–proportional–integral–derivative can be varied according to the change of error. As a result, it can provide high accuracy control performance, especially in nonlinear multi-input–multi-output crane systems. In particular, the hormone secretion rate is designed to adapt with the changes of error using a sigmoid function, thus contributing to enhanced control accuracy. The parameters of the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller are tuned using the safe experimentation dynamics algorithm. The performance of the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller-based safe experimentation dynamics algorithm is evaluated by tracking the error and the control input. In addition, the performances of proportional–integral–derivative and neuroendocrine–proportional–integral–derivative controllers are compared with the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative performance. From the simulation work, it is discovered that the sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative design provides better control performances in terms of the objective function, the total norm of error and the total norm of input compared to proportional–integral–derivative and neuroendocrine–proportional–integral–derivative controllers. In particular, it is shown the proposed sigmoid-based secretion rate neuroendocrine–proportional–integral–derivative controller contributes 5.12% of control accuracy improvement by changing the fixed hormone secretion rate into a variable hormone secretion rate based on the change of error. |
| Author | Raja Ismail, Raja Mohd Taufika Ahmad, Mohd Ashraf Ghazali, Mohd Riduwan Tokhi, M Osman |
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| Cites_doi | 10.1016/j.oceaneng.2017.05.019 10.1016/j.compind.2018.11.001 10.1109/ISCAIE.2017.8074954 10.1016/j.mechatronics.2016.06.005 10.1016/j.mechatronics.2017.09.006 10.1007/978-981-10-7386-1_46 10.1007/978-3-319-74690-6_2 10.1109/ECC.2015.7330586 10.1177/0142331217703702 10.1109/TCST.2013.2245417 10.1177/1077546314558499 10.1007/11427469_18 10.1016/S0967-0661(01)00062-4 10.1109/TCST.2014.2359386 10.1109/TCST.2013.2257780 10.1109/TFUZZ.2013.2290139 10.1016/j.ymssp.2017.03.015 10.1007/978-981-10-6689-4_2 10.1016/j.ins.2012.07.014 10.1016/j.asej.2016.02.004 10.1109/TCST.2008.921808 10.1007/978-81-322-2274-3_32 10.1137/070680199 10.1016/j.ins.2015.12.029 10.1109/CSPA.2018.8368686 10.1177/0142331215607615 10.1016/j.eswa.2014.03.055 |
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| Keywords | neuroendocrine data driven nonlinear system Sigmoid secretion rate |
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| Title | An improved neuroendocrine–proportional–integral–derivative controller with sigmoid-based secretion rate for nonlinear multi-input–multi-output crane systems |
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