Comparative Analysis and Controller Design for BLDC Motor Using PID and Adaptive PID Controller

2021 ◽  
Vol 14 (6) ◽  
pp. 671-682
Author(s):  
Supriya Kaul ◽  
Nitesh Tiwari ◽  
Shekhar Yadav ◽  
Awadhesh Kumar
Keyword(s):  
Comparative Analysis ◽  
Pid Controller ◽  
Controller Design ◽  
Speed Control ◽  
Initial Speed ◽  
Bldc Motor ◽  
Variable Speed ◽  
Motor Speed ◽  
Large Variability ◽  
Applied Torque

: This paper describes the Adaptive PID (APID) controller design for speed control preference of Brushless Direct Current (BLDC) motor over the Proportional Integrative Derivative (PID) controller. A methodology of the Adaptive PID controller is proposed, which tunes the parameters automatically. Modeling of the BLDC motor was carried out using PID and Adaptive PID controller, respectively. The behavior of the BLDC motor is analyzed without a controller and by using the conventional PID controller and the new APID controller. Hence the result obtained is analyzed and compared by taking two cases. In the first case of constant speed, the PID controller gave large variability in the initial speed and could not track the desired speed. Also, applied torque could not track the desired speed due to a significant deviation in the actual motor speed. Whereas, in the case of APID, the controller gave small variability in the initial speed and could track the desired motor speed. In the second case of variable speed, the PID controller produced a random response at a variable speed. Whereas, in APID, the controller had an accurate response at variable speed, with no deviation. The result obtained shows that the APID controller provides effective, easier, and fast controlling of the BLDC motor. The output response of the BLDC motor is achieved, and the result is analyzed with the help of utilizing MATLAB and SIMULINK. Background: The BLDC motor is considerably used in the home, transportation, and industrial application. Objective: Comparative analysis of modeling and control of BLDC motor drives for the variable required speed. Method: PID and APID controllers are used in this paper to operate the BLDC motor. Results: A Fixed and variable speed response of both APID and PID controlled BLDC motor is obtained. Conclusion: Response of the speed control of APID controlled BLDC motor is superior to PID controlled BLDC motor at variable speed.

scholarly journals Adaptive Speed Control Algorithm for BLDC Motor with Variable Input Source using PSO Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 994-1002
Keyword(s):  
Wind Power ◽  
Pid Controller ◽  
Speed Control ◽  
Pso Algorithm ◽  
Input Power ◽  
Bldc Motor ◽  
Motor Speed ◽  
Power Generator ◽  
Wind Power Generator ◽  
Input Source

A sensor less BLDC (Brushless Direct Current) motor speed control is performed using PSO algorithm. The PSO algorithm manages the gain value of the PID controller. The speed of the BLDC motor is provided as the feedback to the controller. The error value is calculated by predetermined speed for the BLDC motor. Wind power generator is used as the input power source for driving BLDC motor. The output power of the wind power generator varies based on the wind speed. The variable input source for the BLDC motor affects the performance of the motor. In order to regulate the input voltage of the BLDC motor, SEPIC DC-DC converter is used. The PSO-PID controller controls the Gate pulse of the SEPIC converter. The model is developed in MATLAB/Simulink, the performance of the proposed PSO-PID control is measured in variable input power condition. The hardware model is developed using MSP430 microcontroller to test the efficiency of the PSO-PID controller in the real time environment.

scholarly journals Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network

2019 ◽  
Vol 9 (1) ◽  
pp. 2210-2213
Keyword(s):  
Neural Network ◽  
Simulation Study ◽  
Pid Controller ◽  
Speed Control ◽  
Open Loop ◽  
Bldc Motor ◽  
Variable Speed ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.

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

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.

scholarly journals Optimal PID controller of a brushless dc motor using genetic algorithm

2019 ◽  
Vol 10 (2) ◽  
pp. 822 ◽  
Author(s):  
Muhammed A. Ibrahim ◽  
Ausama Kh. Mahmood ◽  
Nashwan Saleh Sultan
Keyword(s):  
Genetic Algorithm ◽  
System Performance ◽  
Pid Controller ◽  
Controller Design ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Error Criterion ◽  
Brushless Dc

Brushless DC (BLDC) motor is commonly employed for many industrial applications due to their high torque and efficiency. This article produces an optimal designed controller of Brushless DC motor speed control depending on the genetic algorithm (GA). The optimization method is used for searching of the ideal Proportional–Integral-Derivative (PID) factors. The controller design methods of brushless DC motor includes three kinds: trial and error PID design, auto-tuning PID design and genetic algorithm based controller design. A PID controller is utilizing by conducted Integral absolute error criterion (IAE) and integral squared error (ISE) error criterion for BLDC motor control system. A GA-PID controller is designed to enhance the system performance by means of genetic algorithm. PID controller coefficients are calculated by GA to produce optimal PID as  hybrid PID with GA controller .The closed loop speed response of PID controller is experimented  for IAE and ISE error criteria. The suggested controller GA_PID is planned, modeled and simulated by MATLAB/ software program. A comparison output system performance monitored for every controller schemes. The results display that the time characteristics performance of GA-PID controller based on ISE objective function has the optimal performance (rise time, settling time, percentage overshoot) with other techniques.

OTA-C Realization of An Optimized FOPID Controller for BLDC Motor Speed Control

2021 ◽  
pp. 1-19
Author(s):  
Mary Ann George ◽  
Dattaguru V. Kamat ◽  
Thirunavukkarasu Indiran
Keyword(s):  
Speed Control ◽  
Bldc Motor ◽  
Motor Speed
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