Optimal position control of a DC motor using LQG with EKF

Aravind, M.; Saikumar, Niranjan; Dinesh, N. S.

doi:10.1109/icmsc.2017.7959461

Cited by 16 publications

(13 citation statements)

References 6 publications

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“…The flow rate should be optimum and quick rise time is the objective of tuning of the controller [15]. To verify this aspect, noise which is a white Gaussian noise is added to the system and it is regulated using Linear Quadratic Gaussian (LQG) [16] is a state space technique which is used as optimal regulators. This technique is effective where ever noise and disturbances are included in the system.…”

Section: Fig2 Transient Response With Pidmentioning

confidence: 99%

Examination of Control Parameters for Medical Grade Insulin Pump

Alamelu¹,

Mythili²

2019

IJEAT

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In this work, an attempt has been made to identify the appropriate parameters of Permanent Magnet Direct Current (PMDC) motor for infusion pump. PMDC motor plays important role in medical devices. In this, selection of parameters such as rotor inertia, armature resistance, armature inductance and back electro motive force constant is crucial that help to achieve the required speed. The proposed work uses PID controller (Proportional Integral Derivative) and LQG (Linear-Quadratic Gaussian) control algorithm to evaluate the parameters for transient response of the PMDC motor. It is demonstrated that the chosen parameters are able to reach the required speed with quick rise time by 0.691 seconds by employing LQG.

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Section: Fig2 Transient Response With Pidmentioning

confidence: 99%

Examination of Control Parameters for Medical Grade Insulin Pump

Alamelu¹,

Mythili²

2019

IJEAT

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“…However, feedback gains for cascade control should be tuned carefully to get high motion performance with ensured stability [3][4][5]. On the other hand, a single position or velocity loop control is adopted by many researchers, e.g., see [6][7][8][9][10]. In [11], a linear transfer function for the DC motor actuator is derived with a reduced model by neglecting the electric time constant (armature inductance=0).…”

Section: Introductionmentioning

confidence: 99%

FAT-based adaptive backstepping control of an electromechanical system with an unknown input coefficient

Al-Shuka¹

2021

FME Transactions

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This paper is focused on orthogonal function approximation technique FAT-based adaptive backstepping control of a geared DC motor coupled with a rotational mechanical component. It is assumed that all parameters of the actuator are unknown including the torque-current constant (i.e., unknown input coefficient) and hence a control system with three motor control modes is proposed: 1) motor torque control mode, 2) motor current control mode, and 3) motor voltage control mode. The proposed control algorithm is a powerful tool to control a dynamic system with an unknown input coefficient. Each uncertain parameter/term is represented by a linear combination of weighting and orthogonal basis function vectors. Chebyshev polynomial is used as a strong approximator for estimation of uncertainty. The designed control law includes three terms: a feedforward term, a feedback term and a robust term for compensation of modeling error. Lyapunov stability is used to prove the validity of the proposed controller and to derive the update laws for the weighting vectors of orthogonal Chebyshev approximators. A case study of a geared DC motor in connection with a rotating output load is simulated to prove the effectiveness of the proposed controller structure.

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“…Because in the DLQR method, the states of the system are needed to generate the control signal. The basic working principle of this method is to minimize the quadratic performance index [15].…”

Section: Introductionmentioning

confidence: 99%

Kalman Filtresi ile Ayrık Zamanlı Durum Tahmini ve Zamanla Değişen Doğrusal Bir Sistemin Adaptif LQR Kontrolü

Levent

Aydoğdu

Yücelbaş

2020

European Journal of Science and Technology

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hesaplanmıştır. Böylece değişken yük etkilerinin minimize edilmesi ve sistem kararlılığının artırılması amaçlanmıştır. Önerilen yöntemin etkinliğini pratik uygulama ve simülasyonda göstermek için, zamanla değişen doğrusal bir sistem olan değişken yüklü bir Sanal Simülasyon laboratuvarları (Virtual Simulation Laboratories, VsimLabs) servo sistemi modellenmiş ve Matlab Simulink ortamında kullanılmıştır. Deneysel sonuçlara ve İntegral Karesel Hata (Integral Square Error, ISE), İntegral Mutlak Hata (Integral Absolute Error, IAE), İntegral Zamanlı Mutlak Hata (Integral time absolute error, ITAE) gibi performans ölçümlerine göre, önerilen yöntemin değişken yük etkisini ve sürekli durum hatasını minimize ederek sistem performans ve kararlılığını artırdığı görülmüştür.

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Optimal position control of a DC motor using LQG with EKF

Cited by 16 publications

References 6 publications

Examination of Control Parameters for Medical Grade Insulin Pump

Examination of Control Parameters for Medical Grade Insulin Pump

FAT-based adaptive backstepping control of an electromechanical system with an unknown input coefficient

Kalman Filtresi ile Ayrık Zamanlı Durum Tahmini ve Zamanla Değişen Doğrusal Bir Sistemin Adaptif LQR Kontrolü

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