The fuzzy controller based on genetic algorithm of the high-voltage big-capacity AC motor soft starter
- Resource Type
- Conference
- Authors
- Shihong Gan; Wei Gu; Jianxin Chu; Yuan yu
- Source
- 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on. :4481-4484 Aug, 2011
- Subject
- Signal Processing and Analysis
Computing and Processing
Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Firing
Torque
Fuzzy control
Induction motors
Thyristors
Microcomputers
Genetic algorithm
High-voltage
AC motor
Soft start
- Language
Because an AC motor is a controlled object that is non-linear and strong-coupled and it is difficult to obtain a satisfactory result by means of the general control strategy, the paper proposes a high-voltage AC motor soft starter's designing method based on the adjusting fuzzy control rules. The controller on-line self-adjusts the adjustable factor α. Using the genetic algorithm, we design a parameter optimization program. The adjustable factor α is on-line readjusted through the fuzzy inference according to the current error E and the changing error E C , thus ensuring that the soft starter has the best dynamic-state and steady-state performance. We design a high-voltage AC motor's soft-starter based on this control strategy. The experiment shows that the control strategy effectively eliminates the current and torque pulsation during the starting process.