scholarly journals Feasibility Study of Switching Function Approaches in Sliding Mode Control for a Spacecraft's Attitude Control System

Author(s):  
H. B. Hassrizal ◽  
J. A. Rossiter ◽  
A. R. Firdaus
2011 ◽  
Vol 2011 ◽  
pp. 1-20 ◽  
Author(s):  
Chutiphon Pukdeboon

The robust optimal attitude control problem for a flexible spacecraft is considered. Two optimal sliding mode control laws that ensure the exponential convergence of the attitude control system are developed. Integral sliding mode control (ISMC) is applied to combine the first-order sliding mode with optimal control and is used to control quaternion-based spacecraft attitude manoeuvres with external disturbances and an uncertainty inertia matrix. For the optimal control part the state-dependent Riccati equation (SDRE) and optimal Lyapunov techniques are employed to solve the infinite-time nonlinear optimal control problem. The second method of Lyapunov is used to guarantee the stability of the attitude control system under the action of the proposed control laws. An example of multiaxial attitude manoeuvres is presented and simulation results are included to verify the usefulness of the developed controllers.


2011 ◽  
Vol 467-469 ◽  
pp. 962-967
Author(s):  
Yu Chen ◽  
Guang Li ◽  
Chao Yang Dong ◽  
Qing Wang

A novel adaptive fuzzy sliding mode predictive control (AFSMPC) method for solving the networked launch vehicle attitude control system with network-induced delay, uncertain parameters and outer disturbances is proposed in this paper for the attitude stabilization of the networked launch vehicle control system. The proposed sliding mode surface includes a predictor to compensate for the network-induced delay of the NCS. Then, for the networked Launch vehicle attitude control system with uncertain parameters and outer disturbances, a total sliding-mode control system is proposed, which is designed without the reaching phase of a conventional sliding-mode control. In order to attenuate the chattering phenomena brought by the proposed control, a fuzzy logic system is designed to mimic the good behavior of a total sliding-mode predictive control system. Finally, Simulation results show that the proposed control scheme is effective.


2014 ◽  
Vol 912-914 ◽  
pp. 727-731
Author(s):  
Tao Zhou ◽  
Xi Feng Liang

In order to improve the control performance of position trajectory tracking of manipulator joint, a sliding mode control (SMC) method based on genetic algorithm(GA) is proposed in this paper. In this method, the performance of SMC algorithm is improved through adjusting the parameters of switching function and exponential approach law by genetic algorithm. The method was applied to accomplish the precise position control of manipulator joint. Simulation experiments show that the response time in manipulator joint control system by the SMC method based on GA is reduced 0.62s than the ordinary SMC algorithm. And the system restore stability time with a load change is also reduced 0.7s. External disturbance has no significant effect on the control system. The chattering of controller output is significantly reduced.


2013 ◽  
Vol 336-338 ◽  
pp. 599-603
Author(s):  
Xia Zhao ◽  
Quan Gan ◽  
Tian Hua Lin

Multi-Slide-Mode Control (MSMC) is proposed to decrease energy consumption for homing phase of automatic rendezvous and docking (AR&D). The energy consumption is an important target in homing phase. MSMC is developed from sliding mode control (SMC) and its advantage is energy saving. The switching function of MSMC is piecewise, which is named as multi-sliding-mode. The control system is simulated and the results show the control effects are in accord with prospects.


2015 ◽  
Vol 76 (12) ◽  
Author(s):  
Nurul Syazwani Hussain ◽  
Hassrizal Hasan Basri ◽  
Sazali Yaacob

Sliding mode control is known to be robust against parameter uncertainties and external disturbances. Based on the dynamic equation of motion, a sliding mode controller is designed to solve this problem. However, for the sliding surface to be attractive, a switching function is used in the control law, which caused chattering of the control signal. In order to avoid this, a boundary layer method is considered in the modified controller. So this paper proposes new boundary layer designs that resolve the problem in control accuracy and control signal smoothness in sliding mode control. The propose design improve the system state to almost zero with no chattering in the control signals.


2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Xianlei Cheng ◽  
Guojian Tang ◽  
Peng Wang ◽  
Luhua Liu

We propose a predictive sliding mode control (PSMC) scheme for attitude control of hypersonic vehicle (HV) with system uncertainties and external disturbances based on an improved fuzzy disturbance observer (IFDO). First, for a class of uncertain affine nonlinear systems with system uncertainties and external disturbances, we propose a predictive sliding mode control based on fuzzy disturbance observer (FDO-PSMC), which is used to estimate the composite disturbances containing system uncertainties and external disturbances. Afterward, to enhance the composite disturbances rejection performance, an improved FDO-PSMC (IFDO-PSMC) is proposed by incorporating a hyperbolic tangent function with FDO to compensate for the approximate error of FDO. Finally, considering the actuator dynamics, the proposed IFDO-PSMC is applied to attitude control system design for HV to track the guidance commands with high precision and strong robustness. Simulation results demonstrate the effectiveness and robustness of the proposed attitude control scheme.


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