Closed Loop Control Of Active Magnetic Bearing Using PID Controller

Gupta, Suraj; Laldingliana, Jonathan; Debnath, Sukanta; Biswas⃰, Pabitra Kumar

doi:10.1109/gucon.2018.8675123

Cited by 13 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A control system is often used to maintain stability and regulate the position of the rotor. In AMB systems, a proportional-integral-derivative (PID) controller is often used [21]. The control system model can be represented by the following equation: u = Kp * e + Ki * ∫ e dt + Kd * de/dt (5) where, u represents the control signal applied to the electromagnets, Kp is the proportional gain, Ki is the integral gain, Kd is the derivative gain, and e is the error between the desired and actual rotor position.…”

Section: Mathematical Model Of Ambmentioning

confidence: 99%

Fault Detection in Active Magnetic Bearings Using Digital Twin Technology

Hu,

Taha,

Yang

2024

Applied Sciences

View full text Add to dashboard Cite

Active magnetic bearings (AMBs) are widely used in different industries to offer non-contact and high-velocity rotational support. The AMB is prone to failures, which may result in system instability and decreased performance. The efficacy and reliability of magnetic bearings can be significantly affected by failures in the sensor and control systems, leading to system imbalance and possible damage. A digital twin is an advanced technology that has been increasingly used in different industrial fields. It allows for the creation and real-time monitoring of virtual replicas of physical systems. This paper proposes a novel method for fault detection of Active Magnetic Bearings (AMBs) using digital twin technology and a neural network. The digital twin model serves as a virtual representation that accurately replicates the actual AMB system’s efficiency and features, allowing continuous real-time monitoring and detection of faults. The conventional neural network (CNN) is used as the primary tool for identifying faults in the Active Magnetic Bearing (AMB) within a digital twin model. Experiments proved the effectiveness and robustness of the suggested approach method to fault detection in the AMB.

show abstract

Section: Mathematical Model Of Ambmentioning

confidence: 99%

Fault Detection in Active Magnetic Bearings Using Digital Twin Technology

Hu,

Taha,

Yang

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Proportional integral differential (PID) control, as a traditional control scheme, has been used in AMB systems due to its simple implementation long before. 7,8 However, due to the lack of robustness to external disturbances, various control methods are proposed, such as fuzzy control, model predictive control, adaptive control, sliding mode (SM), and so on. [9][10][11][12][13] Fuzzy control, which inevitably leads to poor control precision and dynamic 1 School of Mechanical and Electrical Engineering, Chuzhou University, Chuzhou, China 2 quality.…”

Section: Introductionmentioning

confidence: 99%

Sliding model control of active magnetic bearing rotor system based on state observer

Li,

Ouyang,

et al. 2024

Advances in Mechanical Engineering

View full text Add to dashboard Cite

This paper addresses a novel sliding mode control based on state observer for active magnetic bearing rotor system. Firstly, the state-space model of a radial AMB rotor system is established with considering unbalance disturbance and gyro effect for a vertical flywheel energy storage system. Then a sliding mode function and switching surface are constructed based on an observer. Meanwhile, a separation and decoupling strategy based on Finsler’s lemma is proposed. Through this method, the constraint relationship between the controller gain, active magnetic bearing matrices and the Lyapunov variables is eliminated. After that a method for chattering reduction in the sliding-mode controller is raised. Relied on these techniques, new sufficient conditions for the stability of AMB rotor system are given in the framework of linear matrix inequalities. Finally, the effectiveness of the proposed sliding mode controller is validated on the experimental platform of the flywheel energy storage system.

show abstract

“…The primary objective of controlling the AMB system is to stabilize the rotating shaft at the desired position and maintain its stability in the presence of the external disturbances. Due to its simplicity and easy implementation, many authors proposed the classical Proportional-Integral-Derivative (PID) controller for the AMB system including [2,4]. However, a classical PID controller may have poor control performance.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Sliding Mode and Back-Stepping Controllers for AMB Systems Using Gorilla Troops Algorithm

Al-Khazraji,

Naji,

Khashan

2024

JESA

View full text Add to dashboard Cite

An active magnetic bearing (AMB) is a frictionless bearing used in high-speed motors and other electromechanical products. Due to its open loop instability, utilization of controller is essential to stabilize the system. In this paper, a comparative study between sliding mode control (SMC) and back-stepping control (BSC) are presented for AMB systems. These two controller techniques have been applied for various dynamical systems to obtain stable control systems. On the basis of avoiding the chattering in the SMC design, the power rate reaching is introduced in the design of the control action of SMC. In terms of BSC design, Lyapunov-stability theorem is utilized to derive the control low of the controller. A gorilla troops optimization (GTO) has been applied to tune the adjustable parameters of the proposed controllers. According to the computer simulation based on MATLAB software, the results indicate a superior performance and improved in the system response of the SMC as compared to the BSC controller. In addition, the SMC strategy has a good disturbance rejection capability as compared to the BSC strategy.

show abstract

Closed Loop Control Of Active Magnetic Bearing Using PID Controller

Cited by 13 publications

References 8 publications

Fault Detection in Active Magnetic Bearings Using Digital Twin Technology

Fault Detection in Active Magnetic Bearings Using Digital Twin Technology

Sliding model control of active magnetic bearing rotor system based on state observer

Optimization of Sliding Mode and Back-Stepping Controllers for AMB Systems Using Gorilla Troops Algorithm

Contact Info

Product

Resources

About