Optimization of PID Controller with Supervisory Fuzzy Control for Industrial Robots

نویسندگان

  • Abbas Nematia Department of Electrical Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
  • Maryam Torabi Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
  • Masoud Solouki Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
  • Mehran Ansarin Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
  • Yeganeh Bakhshizadeh Department of Electrical Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
چکیده مقاله:

It is difficult to control the movement of the robot arm due to its nonlinear structure. PID controller is still in the world because of its simplicity in designing this controller as the main controller. The nonlinear control technique is very complicated, and this is not very interesting in the controller. While fuzzy control has a better performance, it incorporates a fuzzy control with the PID controller to use the PID fuzzy control system to monitor the robot arm system with 5 DOF. This online control proposal is provided to get the best performance, which is possible with fuzzy supervisory control according to the simulation results in MATLAB.

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

Fuzzy PID control method of deburring industrial robots

This paper proposes a fuzzy PID control method for deburring industrial robots. The adaptive fuzzy PID controller relates to the trajectory and joint angular parameters of the end-effector on a robot. The PID controller parameters update online at each sampling time to guarantee trajectory accuracy of the end-effector. The simulation of the fuzzy PID control is provided based on the 6-DOF debur...

متن کامل

Applications of Fuzzy Supervisory PID Controller to a Power System

This paper presents a way that fuzzy logic can be used in high level control functions. Specifically, we examine the use of fuzzy logic in supervisory control, for selecting discrete control actions, identifying the operating environment and evaluating controller performance. Proportional integral derivative (PID) controllers are widely used in excitation control of power systems, they exh ibit...

متن کامل

Optimization of Automatic Generation Control Scheme with Pso Tuned Fuzzy Pid Controller And Comparision With Conventional Pso Pid Controller

Automatic generation control or AGC system is substantial control process that operates perpetually to balance the generation and load in power system at minimum cost. If any kind of mismatch occurs between generation and demand causes the variation in the system frequency from its nominal value. This high frequency deviation may cause system breakdown. In order to maintain the stability, a ver...

متن کامل

Pitch Control Using Hybrid Pid-Fuzzy Controller

Unmanned Aerial Vehicle (UAV) is inherently an unstable system and this necessitated the need of an external controller to stabilize and to control it. In this paper presents the exploration into the simulation, design and analysis of two autopilot schemes: (1) a fuzzy-PID controller and, (2) hybrid PID-Fuzzy controller for controlling pitch plane dynamics of an aircraft. The modeled fuzzy logi...

متن کامل

Fuzzy gain scheduling of PID controller for stiction compensation in pneumatic control valve

Inherent nonlinearities like, deadband, stiction and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be t...

متن کامل

A neuro-fuzzy supervisory control system for industrial batch processes

The automation of complex industrial batch processes is a difficult problem due to the extremely nonlinear and variable system behavior or the conflicting goals within the different process phases. The introduction of a single multipleinput multiple-output controller (e.g. fuzzy logic (FL) controller) is not useful because of the rather high design effort and the low transparency of its complex...

متن کامل

منابع من

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

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 7  شماره 28

صفحات  27- 36

تاریخ انتشار 2019-03-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023