Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor

نویسندگان

چکیده

Operation at low speed and high torque can lead to the generation of strong ripples in speed, which deteriorate system. To reduce oscillations when operating a five-phase asynchronous motor this article, we propose control method based on Gray Wolf optimization (GWO) algorithms adjust parameters proportional–integral (PI) controllers. Proportional–integral controllers are commonly used systems regulate current motor. The controller parameters, such as integral gain proportional gain, be adjusted improve performance. Specifically, reducing help speeds. is insensitive parametric variations; however, employ GWO strategy PI choose gains wisely, system becomes more reliable. obtained results show that hybrid induction (IM) offers performance permanent transient states. In addition, with proposed controller, disturbances do not affect

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speed Control of Permanent Magnet Synchronous Motor by Antiwindup PI Controller and Comparison with Fuzzy Controller

In this paper, the driver with antiwindup and fuzzy high-performance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It’s useful for the industrial application and automation and ultimately speed control and the improvemen...

متن کامل

Speed Control of Permanent Magnet Synchronous Motor by Antiwindup PI Controller and Comparison with Fuzzy Controller

In this paper, the driver with antiwindup and fuzzy high-performance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It’s useful for the industrial application and automation and ultimately speed control and the improvemen...

متن کامل

Optimum Design of a Five-Phase Permanent Magnet Synchronous Motor for Underwater Vehicles by use of Particle Swarm Optimization

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

متن کامل

Optimum Design of a Five-Phase Permanent Magnet Synchronous Motor for Underwater Vehicles by use of Particle Swarm Optimization

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

متن کامل

Parameters Assignment of Electric Train Controller by Using Gravitational Search Optimization Algorithm

The speed profile of the train will be determined according to criteria such as safety, travel convenience, and the type of electric motor used for traction. Due to the passengers and cargo on the train, the electric train load is constantly changing. This will require reassigning the speed controller’s parameters of the electric train. For this purpose, the Gravitational Search optimization Al...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Energies

سال: 2023

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en16104251