Pid-fuzzy type 2 controller optimized with NSGA_II algorithm

Document Type : Original Article

Authors

1 دانشکده شناوری- دانشگاه دریایی امام خامنه‌ای(مدظله‌العالی)، رشت-زیباکنار، ایران

2 Golestan University - Golestan - Gorgan - Iran

3 Faculty of Electrical Engineering - Golestan University - Gorgan - Iran

Abstract

This paper discusses the design and development of a control system for the internal loop subsystem of an AUV. Using the multi-input multi-output (MIMO) nonlinear system state space approach, the linearized equation is obtained, and the desired conversion function is extracted from the corresponding linear equation. Then first examine the conversion function exposed to PID controller and then to PID_fuzzy type 2 controller, then using multi-objective genetic algorithm, fuzzy controller parameters including rules, input and output membership functions and optimal output gain Turns. And the results obtained in this method will be compared with similar previous worksThe proposed method in this research will be able to significantly improve the control parameters of the maximum value of the metamorphosis and the settling time of the system state variables. Of course, the proposed method will have a high volume of calculations in the nonlinear model and the slowness of the simulation process compared to previous works, which will also provide solutions to solve it.

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References

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