Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID

Shadkam, Meysam; Mojallali, Hamed; Bostani, Yaser

doi:10.7763/ijiee.2013.v3.277

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…These characteristics some of which are, linear speed control properties and high starting torque. There are more than one types DC motors and all these types have numerous benefits over AC motors which include: less heat production, simpler controllers used, have higher efficiency, can offer precise position control, can produce very close to constant torque and they are easily controllable [2][3][4][5][6][7][8][9][10][11]. For that reason, the adoption of DC motors will reduce the amount of energy consumed and improve the efficiency of the machines they are installed.…”

Section: Introductionmentioning

confidence: 99%

“…A state feedback controller was developed by the researchers in [4] with the use of Extended Kalman Filter (EKF) for induction motor and KF for DC motor to evaluate the states. A DC motor was controlled using a PID controller in [5], K p K i K d were dynamically modified online by three distinct FLC controllers, one for each gain. KF was utilized for tuning the Membership Functions (MFs) of such FLCs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

Al-Maliki¹,

Iqbal²

2018

Adv. sci. technol. eng. syst. j.

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This article examines the use of non-ideal current and voltage sensors for sensorless speed control for a fixed field DC motor. A PID type speed controller with KF estimator was applied to control the DC motor and IAE, settling time, and peak overshoot were taken as performance indices. However, KF facilitated the noise reduction. After tuning controller gains through MATLAB yielded high peak overshoot as well as IAE with an extended settling time. When we applied, a PID-Type FLC tuned by means of GA (genetic algorithms) caused a 75.98%, 97.89% and 56.2% cut in settling time, maximum overshoot and IAE correspondingly. The FLC-PID fundamentally enhanced sudden load changes disturbance rejection and the reference command speed tracking for the dc motor design in comparison to the conventional PID with no KF. This study was also able to replace the designed FLC-PID with linear lookup-table while achieving the same performance improvements.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

Al-Maliki¹,

Iqbal²

2018

Adv. sci. technol. eng. syst. j.

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“…The extended Kalman filter (EKF) is also an efficient and effective derivative-based optimization method. It can provide the best estimate of the variation rates in each step because it considers additional information (the actual estimates and their variances) regarding the system's state and error dynamics from the current and previous iterations [15,16]. Therefore, an EKF mechanism is investigated in this paper for the adaptive tuning of variation rates of an NPI motor speed controller.…”

Section: Introductionmentioning

confidence: 99%

EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor

Saleem¹,

Omer²

2017

Turk J Elec Eng & Comp Sci

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This paper presents a robust adaptive nonlinear proportional-integral (ANPI) scheme to control the speed of a direct-current (DC) motor. Unlike proportional-integral-derivative (PID) controllers, PI controllers have a simpler structure and they deliver effective control effort. However, due to inadequate controller gains, they are often unable to simultaneously improve the transient as well as the steady-state response of the system. A nonlinear PI (NPI) controller alleviates these issues and delivers a good response. In this research, the proportional and integral gains of the NPI controller are dynamically modulated via a nonlinear sigmoidal function (SiF) of the error dynamics of the motor's angular speed. The variation rates of these functions are manually tuned via trial-and-error method. These rates are also dynamically updated via an extended Kalman filter (EKF)-based adaptation mechanism. The performances of a linear PI controller, an NPI controller having fixed variation rates, and an NPI controller equipped with the EKFbased self-regulated SiFs are tested and compared in real time. The experimental results are analyzed to validate the effectiveness of the proposed ANPI controller in optimizing DC motor speed control.

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“…Online optimization of Fuzzy PID controller using extended Kalman filter for DC motor [1] and optimal state feedback control [2], nonlinear adaptive control [3], back stepping control [4], fuzzy control [5] have been the numerous control approaches introduced for the control of active suspension system. Various observer design such as observer design using sliding mode controller [6,7], proportional integral sliding mode controller [8], Kalman estimator [9] have been developed for an active suspension system.…”

Section: Introductionmentioning

confidence: 99%

Extended Kalman Filter for Vehicle Suspension System

Rajeswari

Anjali

2014

AMM

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This paper presents an estimator for a nonlinear active suspension system considering the hydraulic actuator dynamics. PID controller is used to control the Active suspension system of nonlinear quarter car model. Extended Kalman filter is designed to estimate the states from the measurement model perturbed with noise. Simulation results demonstrate the effectiveness of the PID based active suspension system in reducing the vertical acceleration transmitted to the passengers thereby improving the ride comfort. Also the effectiveness of the Extended Kalman filter in estimating the actual vehicle states is demonstrated.

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Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID

Cited by 5 publications

References 7 publications

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor

EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor

Extended Kalman Filter for Vehicle Suspension System

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