CS-Based Optimal PID Controller Design for Induction Motor Speed Control System

Over two decades, the fractional (non-integer) order PID (FOPID or PIλDµ ) controller was introduced and demonstrated to perform the better responses in comparison with the conventional integer order PID (IOPID). In this paper, the design of an optimal FOPID controller for a DC motor speed control system by the flower pollination algorithm (FPA), oneof the most efficient population-based metaheuristic optimization searching techniques, is proposed. Based on the modern optimization framework, five parameters of the FOPID controller are optimized by the FPA to meet the response specifications of the DC motor speed control system and defined as constraint functions. Results obtained by the FOPID controller are compared with those obtained by the IOPID designed by the FPA. As the simulation results show, the FOPID can provide significantly superior speed responses to the IOPID.

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PI and PID Controller Design and Analysis for DC Shunt Motor Speed Control

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c6521.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 144-150

Keyword(s):

Pid Controller ◽

Controller Design ◽

Speed Control ◽

Open Loop ◽

Response Analysis ◽

Motor Speed ◽

Proportional Integral ◽

Step Procedure ◽

Pid Controller Design ◽

Loop Condition

This paper proposes a step by step procedure design and analysis of proportional Integral (PI) and proportional integral derivative (PID) controller. These controllers are employed to control the speed of a DC shunt motor. DC shunt motor Characteristics are modeled in s-function, the speed characteristic of motor is analyzed in open loop condition and closed loop condition without controller and Parameter controlling of PI & PID controller is designed by frequency response analysis. Design, analysis and implementation of PI & PID controller are conducted separately. The performances controllers such as rise time (tr), settling time (ts), steady state error, percent overshoot (%OS), and phase margin are compared to both controllers. Design and analysis of controller are verified by simulation, the results show that PID controller that applied speed control DC shunt motor is better than PI controller.

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Self-tuning PID Control of Induction Motor Speed Control System Based on Diagonal Recurrent Neural Network

International Journal of Control and Automation ◽

10.14257/ijca.2015.8.10.30 ◽

2015 ◽

Vol 8 (10) ◽

pp. 321-334 ◽

Cited By ~ 1

Author(s):

Chong Chen

Keyword(s):

Neural Network ◽

Control System ◽

Induction Motor ◽

Recurrent Neural Network ◽

Pid Control ◽

Speed Control ◽

Motor Speed ◽

Speed Control System ◽

Self Tuning

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Application of Kalman Filter in DC Motor Speed Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.150.129 ◽

2012 ◽

Vol 150 ◽

pp. 129-132 ◽

Cited By ~ 1

Author(s):

Zhong Qiao Zheng ◽

Yan Hong Zhang ◽

Jian Sheng Zhang

Keyword(s):

Kalman Filter ◽

Control System ◽

Pid Controller ◽

Speed Control ◽

Dc Motor ◽

Motor Speed ◽

Control Effect ◽

Noise Interference ◽

Response Characteristics ◽

Speed Control System

PID controller is widely used in industry field, but when the industry presence exists noise interference, it is difficult for the conventional PID controller to achieve the expected control effect, in view of this situation, the method of combinating Kalman filter with the PID control is studied in this paper, the DC motor speed control system is simulated, the results shows that the PID controller based on Kalman filter is better to inhibit the effect of white noise, and it has a good dynamic response characteristics.

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