Coupling Analysis and Cross-Feedback Control of Three-Axis Inertially Stabilized Platform with an Active Magnetic Bearing System

Tong, Wen; Xiang, Biao; Wong, Waion

doi:10.1155/2020/8290369

Cited by 7 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The movement of one axis naturally affects the other axis. When these movements are at high speeds, they can cause vibrations on different axes [7]. Unmeasurable distortions and model uncertainties in the LOS framework also pose problems [8].…”

Section: Introductionmentioning

confidence: 99%

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

Şahin

2024

Politeknik Dergisi

View full text Add to dashboard Cite

Gimbal is a system that provides locking and tracking of the seeker on the target in missiles and increases the angle of view with its mobility in two axes. In this study, stabilization of a two-axis gimbal system used in the missile was carried out. In gimbal stabilization, adaptive controllers are preferred instead of classical controllers due to unbalance, cross-coupling, and unmeasurable disturbances. A Self Tuning PID controller based on Fuzzy Logic was developed for axis controls in the stabilization algorithm. Thanks to this controller, which works with the principle of choosing the most appropriate coefficient at every step, it was possible to control with less than 3% errors in the tests performed with the flight simulator. In addition, a PID controller whose coefficients are optimized with Particle Swarm Optimization is designed for comparison purposes. In experimental studies, it was seen that PID with adjustable coefficients gave better results than the fixed PID.

show abstract

Section: Introductionmentioning

confidence: 99%

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

Şahin

2024

Politeknik Dergisi

View full text Add to dashboard Cite

show abstract

“…Based on the PID control method, Wei et al used angular velocity feedforward to enhance the suspension stability of the MSR [15]. Sun et al and Wen et al presented cross-feedback control methods to deal with the nutation mode of asymmetric rotors with gyroscopic effects [16,17], but these methods emphasized the stable control rather than the position accuracy of the MSR, especially when the rotor tilted at a large angle. Schuhmann et al utilized a linear quadratic Gaussian control with an extended Kalman filter and a state feedback regulator to improve the position accuracy of the MSR [18], but since this method contains too many parameters and the related calculation is excessive, it is not convenient for engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Neural Network Sliding Model Control of Radial Translation for Magnetically Suspended Rotor (MSR) in Control Moment Gyro

et al. 2023

View full text Add to dashboard Cite

For a magnetically suspended control moment gyro (MSCMG), the high-speed rotor is actively suspended by magnetic bearings of 5-DOF, but the nonlinearity of the magnetic suspension force is one of the main reasons for the poor accuracy of radial translation control of the magnetically suspended rotor (MSR). To solve this problem, here, the characteristics of the magnetic suspension force are analyzed, and the nonlinear dynamic model of MSR is established. A sliding mode control (SMC) based on a neural network is presented, and the radial basis function (RBF) neural network is adopted to approximate the nonlinear displacement stiffness and the current displacement stiffness to weaken the chattering in SMC to improve the control accuracy of the MSR. The stability of the neural network SMC for the MSR is analyzed based on Lyapunov functions, and the rules of updating network weights are presented based on adaptive algorithms. Compared with these existing classic control methods, the simulation and experimental tests performed on a single-gimbal MSCMG with an angular momentum of 200 N.m.s indicated that this neural network SMC for MSR’s radial translation can not only make its suspension more stable but can also make its position precision higher.

show abstract

“…However, decentralized PID control is currently the main technique utilized for AMB control. This control method is appropriate for single-input single-output (SISO) systems, which ignore the coupling between the rotor degrees of freedom at high rotational speeds [4][5][6] . Considering that AMB is a multiple-input multiple-output (MIMO) system, this paper expands and refines the control system, with the expectation to better meet the control accuracy requirement of the radial 4-DOF bearing.…”

Section: Introductionmentioning

confidence: 99%

Radial 4-DOF decoupling control of active magnetic bearing

Bai,

2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

View full text Add to dashboard Cite

This paper mainly focuses on the coupling effect and decoupling strategy of the active magnetic bearing (AMB). First, the AMB’s operating mechanism is examined, and a linearized model of the electromagnet-rotor is built. Second, the state equation for the five-degree-of-freedom (5-DOF) electromagnet-rotor is obtained using this linearized model. Combined with PID control, a radial magnetic bearing control model was built using MATLABSimulink to observe its control effect. Finally, to solve the coupling problem, a feedforward-feedback decoupling approach is suggested. Via simulation, it has been demonstrated that this approach can lessen the coupling effect and increase the static stability of the system.

show abstract

Coupling Analysis and Cross-Feedback Control of Three-Axis Inertially Stabilized Platform with an Active Magnetic Bearing System

Cited by 7 publications

References 35 publications

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

Stabilization of Two Axis Gimbal System with Self Tuning PID Control

Neural Network Sliding Model Control of Radial Translation for Magnetically Suspended Rotor (MSR) in Control Moment Gyro

Radial 4-DOF decoupling control of active magnetic bearing

Contact Info

Product

Resources

About