A Genetic Algorithm-Based Novel Speed Controllere for Induction Motor Drives | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 26, Issue 4, October 2003, Page 25-36 PDF (2.67 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2003.82579 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| R A. F. Saleh; E. E. El-Kholy | ||||
| Electrical Engineering Department, Faculty of Engineering Menoufiya University, Shebin El-Kom, Egypt | ||||
| Abstract | ||||
| This paper describes a new method for the design of a speed controller using a genetic algorithm to improve the dynamic performance of induction motor drives. The control signal is based on the instantaneous speed deviation and acceleration of the motor and on a set of simple fuzzy control rules. A novel approach is proposed to generate the control rules, and thus increase the effectiveness of the controller. A genetic algorithm is used to search for optimal setting of the controller parameters. The proposed control algorithm was successfully implemented using a 1.5 hp three-phase induction motor fed from a pulse width modulation inverter and a digital signal processor (DSP-TMS320C31). Simulation and experimental results show a good performance of the system under study with the proposed speed controller over a range of operating conditions. | ||||
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