Electromagnetic Actuator System Using Witty Control System
| Autor: | Der-Fa Chen, Shen-Pao-Chi Chiu, An-Bang Cheng, Jung-Chu Ting |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
bat search algorithm
Jacobi polynomial neural network Lyapunov stability principle three-phase induction servo motor rice milling machine system Materials of engineering and construction. Mechanics of materials TA401-492 Production of electric energy or power. Powerplants. Central stations TK1001-1841 |
| Zdroj: | Actuators, Vol 10, Iss 3, p 65 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2076-0825 |
| DOI: | 10.3390/act10030065 |
| Popis: | Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results. |
| Databáze: | Directory of Open Access Journals |
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