Design and statistical robustness analysis of FOPID, IOPID and SIMC PID controllers applied to a motor-generator system

Ángel, Leopoldo Armesto; Viola, Jairo

doi:10.1109/tla.2015.7404900

Cited by 19 publications

(8 citation statements)

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“…[14], a three‐phase BLDC motor with a PID‐based speed controller for the four‐quadrant operation was presented. The PID is the appropriate speed control for the BLDC motor from the literature 15 ; however, the PID controller generates a poor steady‐state error. For the robotic manipulator, the design structure and tuning of the PID controller using the genetic algorithm method were implemented in Ref.…”

Section: Methodsmentioning

confidence: 99%

Design methodology and experimental verification of intelligent speed controllers for sensorless permanent magnet Brushless DC motor

Vanchinathan¹,

Valluvan²,

Chinnaraj

et al. 2021

Int Trans Electr Energ Syst

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This article presents a modified genetic algorithm (MGA) to determine the five degrees of freedom parameters, namely K p , K i , K d , λ, and μ of a fractional order proportional integral derivative (FOPID) controller to achieve the speed control of a brushless direct current (BLDC) motor by sensorless technique. The MGA is a meta-heuristic inspired algorithm for solving nonlinearity problems such as sudden load disturbances, power fluctuations, and misalignment of the motor. The conventional genetic algorithm (CGA) is not very effective in solving the abovementioned problems. Hence, MGA-optimized FOPID (MGA-FOPID) controller is recommended for sensorless speed control of BLDC motor under varying load (T L ) conditions, and varying set speed (N s ) conditions. The proposed design of the MGA-FOPID controller has been implemented in MATLAB 2019a with Simulink models for optimal speed control of the BLDC motor. Also, the hardware experimental set-up and the results of the proposed controller are presented. The performance of the MGA-FOPID controller is observed and evaluated for time-domain characteristics. It is important to note that the proposed MGA-FOPID controller is more effective than the MGA optimized integer order proportional integral derivative controller in terms of minimizing time integral performance indexes.

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Section: Methodsmentioning

confidence: 99%

Design methodology and experimental verification of intelligent speed controllers for sensorless permanent magnet Brushless DC motor

Vanchinathan¹,

Valluvan²,

Chinnaraj

et al. 2021

Int Trans Electr Energ Syst

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“…The three control actions that are P control action, I control action and D control action work together to get the continuous PID controller. PID controller has been developed in order to improve transient performance and speed control of motor [28,29] generator A discrete PID controller is incorporated into the system for diminishing nonlinear damping [30]. The tuning value of gain (K P , K I , K D ) may be obtained from Steepest Gradient Descent Method (SDGM) [31] and as well as Genetic Algorithms Method [32] and also Ziegler-Nichols tuning method.…”

Section: Pid Controllermentioning

confidence: 99%

Tuning of PI and PID Controller with STATCOM, SSSC and UPFC for Minimizing Damping of Oscillation

Ray¹,

Rahman²,

Ahmed³

2017

IOSR JEEE

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“…The traditional proportion integral derivative (PID) algorithm is simple in structure and easy to implement. It has been widely applied in linear motor control systems for tracking applications [6][7][8]. However, the PID controller cannot adjust the control parameters online in real time, and it often results in a poor tracking accuracy in the existence of load disturbance [9].…”

Section: Introductionmentioning

confidence: 99%

High-Precision Coordinated Position Control of Integrated Permanent Magnet Synchronous Linear Motor Stations

Pan

Niu

et al. 2020

IEEE Access

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In multi-station linear reciprocating processing systems, the positioning accuracy and the cooperative precision of the motion stations directly affect the production quality of products. This paper aims to enhance both the positioning and the coordination accuracy of the motion stations from the integrated permanent magnet synchronous linear motor (IPMSLM) stations during the reciprocating motions, especially in the presence of load disturbance. Firstly, the adaptive control strategy based on pole placement principle with online parameter identification is proposed for single IPMSLM station. The least squares identification algorithm with forgetting factor is employed to calculate the mathematic model online, so as to solve the problem that the IPMSLM stations cannot be accurately modeled with the existence of parameter perturbation and load disturbance. Secondly, in order to improve the coordination performance of the IPMSLM stations, the cooperative error equation is proposed, and a ring coupling cooperative (RCC) control strategy based on Lyapunov stability theorem is designed. The accuracy and effectiveness of this proposed collaborative control strategy is verified by experiments under no-load and spring-load conditions. Experimental results show that for the proposed adaptive and coordinate control strategy, the positioning error and the coordination error during the reciprocating motion can be guaranteed uniformly within ±8 μm and ±10 μm, respectively.

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Design and statistical robustness analysis of FOPID, IOPID and SIMC PID controllers applied to a motor-generator system

Cited by 19 publications

References 0 publications

Design methodology and experimental verification of intelligent speed controllers for sensorless permanent magnet Brushless DC motor

Design methodology and experimental verification of intelligent speed controllers for sensorless permanent magnet Brushless DC motor

Tuning of PI and PID Controller with STATCOM, SSSC and UPFC for Minimizing Damping of Oscillation

High-Precision Coordinated Position Control of Integrated Permanent Magnet Synchronous Linear Motor Stations

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