Design of LQR-PID controller for linearized magnetic levitation system

Anurag, Kumar; Kamlu, Sushma

doi:10.1109/icisc.2018.8399112

Cited by 15 publications

(7 citation statements)

References 9 publications

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“…It computes the feedback gain matrix K using the state space representation of the controlled system and the weighting matrices Q and R supplied by the user [21]- [22]:…”

Section: Lqr Controller Design For the Eicosi Orthosismentioning

confidence: 99%

A Novel LQR-Based Cascaded Control Scheme of a Powered Knee Joint Orthosis for Rehabilitation

Jammeli

Chemori

Elloumi

et al. 2021

2021 9th International Conference on Systems and Control (ICSC)

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In order to improve the healthcare services quality, various initiatives have been carried out to develop new assistive technologies such as wearable robots. This paper deals with the control of an actuated knee joint orthosis dedicated to assistive and rehabilitation purposes. The proposed control scheme is based on a nonlinear state feedback complied with a linear quadratic regulator (LQR) in a cascaded control architecture. The proposed control scheme has been validated in simulation for the control of an active orthosis in various operating conditions and compared with a PID controller. The obtained simulation results show clearly the efficiency of the proposed control scheme and its superiority with respect to the PID in terms of the tracking performance and the comfort of the user.

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“…It computes the feedback gain matrix K using the state space representation of the controlled system and the weighting matrices Q and R supplied by the user [21]- [22]:…”

Section: Lqr Controller Design For the Eicosi Orthosismentioning

confidence: 99%

A Novel LQR-Based Cascaded Control Scheme of a Powered Knee Joint Orthosis for Rehabilitation

Jammeli

Chemori

Elloumi

et al. 2021

2021 9th International Conference on Systems and Control (ICSC)

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“…Various systems have been controlled with intelligent control methods [19]- [23]. It can be controlled using MLS, PID and LQR methods [24], [25], [26]. Because there are many factors affecting the control of MLS, it attracts the attention of researchers working on control systems [27], [28], [29].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of PID and LQR Controllers for Control of Non-Linear Magnetic Levitation System

Karabacak

Yaşar

Sarıtaş

2023

DEUFMD

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Magnetic Levitation System (MLS) has become a current study in the field of engineering due to its advantages such as low energy consumption and minimum friction. MLSs are nonlinear unstable systems. Due to the complexity of the structure and the difficulty of the controls, many advanced control theories can be applied on these systems and the performance of the controllers can be evaluated. In this article, Proportional-Integral-Derivative (PID) and Linear-Quadratic Regulator (LQR) controller methods are applied on MLS mathematically modeled in MATLAB environment. Controller performances were compared in the results found. The results obtained on the applicability of PID and LQR control methods for MLS were evaluated. In addition, the system performance of the controllers was compared with five parameters. These are rise time, settling time, maximum overshoot, overshoot and steady-state error. LQR controller produced great stability and homogeneous response compared to PID controller.

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“…The magnetic levitation system is a typical nonlinear openloop unstable system. In order to establish the precise control of the maglev system, PID control [15,16], back-stepping control and sliding-mode control [17] are involved in the current control methods. In recent years, many scholars have been devoted to improving the traditional PID and combining it with a fuzzy law [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Self‐tuning predictive control applicable to ship magnetic levitation damping device

Zhang¹,

Yan

Wang

et al. 2021

IET Collab Intel Manufact

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In the ship design, there are strict vibration-proof requirements for precision instruments. Therefore, a ship repulsive magnetic levitation damping device is designed to achieve vibration reduction. And one self-tuning predictive control method is proposed to achieve the stable levitation of this device. Firstly, a predictive control (MPC) method with state constraints and input constraints is adopted to realise the stable suspension of the floater. The MPC can solve the problem of position imbalance of the magnetic levitation system under the external complex disturbances. Secondly, a self-tuning MPC method based on recursive least square is proposed to solve the problem caused by the fixed parameters of the traditional predictive controller. At the beginning of each control cycle, the recursive least-squares (RLS) method is used to estimate the parameters of the system. Thus, the optimal control model could be obtained for the current situation. Then, this model is applied to the predictive controller to solve the problem of parameter fixation in the traditional predictive control. Finally, the simulation results show that it can improve the accuracy, dynamic response and anti-interference performance obviously.

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Design of LQR-PID controller for linearized magnetic levitation system

Cited by 15 publications

References 9 publications

A Novel LQR-Based Cascaded Control Scheme of a Powered Knee Joint Orthosis for Rehabilitation

A Novel LQR-Based Cascaded Control Scheme of a Powered Knee Joint Orthosis for Rehabilitation

Performance Comparison of PID and LQR Controllers for Control of Non-Linear Magnetic Levitation System

Self‐tuning predictive control applicable to ship magnetic levitation damping device

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