Mohd Riduwan, Ghazali and Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail and Tokhi, M. O. (2019) An improved neuroendocrine-proportional-integral-derivative controller with sigmoid-based secretion rate for nonlinear multi-input-multi-output crane systems. Journal of Low Frequency Noise, Vibration and Active Control. pp. 1-15. ISSN 1461-3484 (Print), 2048-4046 (Online). (In Press / Online First) (In Press / Online First)
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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.
| Item Type: | Article |
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| Additional Information: | Indexed by WOS |
| Uncontrolled Keywords: | Sigmoid; Neuroendocrine; Secretion rate; Data driven; Nonlinear system |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 03 Oct 2019 08:35 |
| Last Modified: | 03 Oct 2019 08:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/25847 |
| Download Statistic: | View Download Statistics |
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