stabilization control
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Author(s):  
Liqiang Wang ◽  
Xianqing Wu ◽  
Meizhen Lei

The stabilization and disturbance rejection of the translational oscillator with a rotating actuator (TORA) are considered in this paper. To deal with the control issues, a novel continuous sliding mode control method is designed for the TORA system. Compared with existing sliding mode control methods for the TORA system, the proposed method here is continuous. Specifically, first, a global diffeomorphism is introduced for the model of the TORA system. Then, an elaborate sliding manifold is constructed, and a continuous sliding mode control scheme is developed to ensure the convergence of the sliding manifold. Furthermore, rigorous theoretical analysis is given. Finally, simulation tests are carried out, and the obtained simulation results demonstrate that the proposed method exhibits superior stabilization control performance and strong robustness.


2022 ◽  
Author(s):  
Yao Cai ◽  
Kate Grieve ◽  
Pedro Mecê

High-resolution ophthalmic imaging devices including spectral-domain and full-field optical coherence tomography (SDOCT and FFOCT) are adversely affected by the presence of continuous involuntary retinal axial motion. Here, we thoroughly quantify and characterize retinal axial motion with both high temporal resolution (200,000 A-scans/s) and high axial resolution (4.5 um), recorded over a typical data acquisition duration of 3 s with an SDOCT device over 14 subjects. We demonstrate that although breath-holding can help decrease large-and-slow drifts, it increases small-and-fast fluctuations, which is not ideal when motion compensation is desired. Finally, by simulating the action of an axial motion stabilization control loop, we show that a loop rate of 1.2 kHz is ideal to achieve 100% robust clinical in-vivo retinal imaging.


Author(s):  
Shun Sang ◽  
Chen Zhang ◽  
Jianwen Zhang ◽  
Gang Shi ◽  
Fujin Deng

2021 ◽  
Author(s):  
Peng Dai ◽  
Peisi Zhong ◽  
Haiyan Liu ◽  
Wenhao Lv ◽  
Hao Zhang

InterConf ◽  
2021 ◽  
pp. 323-328
Author(s):  
Оleksandr Palii ◽  
Erik Lapkhanov

The usage of space inflatable platform to accommodate payload is proposed in the paper. This platform includes thin-film elastic envelope, cable system for fixing payload elements on the shell, pressurization systems, energy system, thermal control systems, attitude and stabilization control systems and propulsion system. General solutions for the development of the listed systems of a space inflatable platform are described.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012107
Author(s):  
Pu Dai ◽  
Jun Pan ◽  
Yan Cao ◽  
Qing Ma ◽  
Manli Du

Abstract In order to solve the problem of increasing system cost and low control accuracy by adding gyroscope or inertial navigation system, a dual position loop control ship-borne stabilization system is proposed in the paper. The mathematical model is established to analyze the influence of ship rolling factors on the space pointing of single position loop weapon system. On this basis, the control strategy of double position loop is proposed, and the simulation structure and control method of inner position loop and double position loop are described respectively. The simulation results show that the method can isolate the factors of ship rolling, realize the closed-loop stabilization control of weapon system in geodetic coordinate without adding system hardware cost, and have good control effect as well.


2021 ◽  
Vol 54 (9-10) ◽  
pp. 1356-1370
Author(s):  
Muhammad Abdullah ◽  
Arslan Ahmed Amin ◽  
Sajid Iqbal ◽  
Khalid Mahmood-ul-Hasan

Rotary Inverted Pendulum (RIP) mimics the behavior of many practical control systems like crane mechanism, segway, unicycle robot, traction control in vehicles, rocket stabilization, and launching. RIP is a fourth-order nonlinear open-loop unstable dynamical system and is widely used for testing the effectiveness of the newly developed control algorithms. In this paper, a Hybrid Control Scheme (HCS) based on energy balance and fuzzy logic controllers is proposed to implement the swing up and stabilization control of RIP. In the proposed control scheme, the fuzzy logic-based state feedback gains are dynamically tuned in real-time by minimizing the absolute error between the desired and actual states to get robust control performance. The proposed HCS is also compared with the conventional Linear Quadratic Controller (LQR) for this application. The comparative results show that the proposed fuzzy logic-based hybrid control scheme gives the optimal control performance in terms of achieving satisfactory transient, steady-state, and robust responses from a given RIP system, as compared to the conventional LQR based control scheme. The proposed control scheme is also relatively less complex with a low computational cost and provides desired response characteristics as compared to the existing ones in the literature.


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