Fuzzy adaptive two‐bits‐triggered control for nonlinear uncertain system with input saturation and output constraint

2020 ◽  
Vol 34 (4) ◽  
pp. 543-559 ◽  
Author(s):  
Zicong Chen ◽  
Jianhui Wang ◽  
Kemao Ma ◽  
Xing Huang ◽  
Tao Wang
Keyword(s):  
Input Saturation ◽  
Uncertain System ◽  
Output Constraint ◽  
Nonlinear Uncertain System ◽  
Fuzzy Adaptive

Nonsingular Terminal Sliding Mode Control Based on Novel Reaching Law for Nonlinear Uncertain System

2013 ◽  
Vol 347-350 ◽  
pp. 302-306 ◽  
Author(s):  
Ji Chen Li ◽  
Feng Qi Gao ◽  
Guang Long Wang ◽  
Ming Wang ◽  
Wen Jie Zhu ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Uncertain System ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Reaching Law ◽  
Mode Control ◽  
Inverted Pendulum System ◽  
Nonsingular Terminal Sliding Mode ◽  
Nonlinear Uncertain System

Novel reaching law to nonsingular terminal sliding mode control for the control of the second order nonlinear uncertain system is introduced in this paper. The problems of singularity, chattering and slow convergence of the terminal sliding mode control, and verify the stability of the new controller is analyzed. Due to the premise of eliminating the singular value in the nonsingular terminal sliding mode control, the new reaching law based on the power reaching law enables the finite time convergence of the system equilibrium. By applying the new controller to the inverted pendulum system, the sliding surface had been proved fast and the system chattering had been reduced at the same time. Simulation results indict that the system converges to the equilibrium in a short time and the proposed method is feasible and effective.

Nonlinear output path following control using a two-loop robust model predictive control approach

2021 ◽  
pp. 014233122097142
Author(s):  
Mohammad Ghassem Farajzadeh-Devin ◽  
Seyed Kamal Hosseini Sani
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Robot Manipulator ◽  
Path Following ◽  
Uncertain System ◽  
Loop Model ◽  
Control Approach ◽  
Output Tracking ◽  
Path Following Control ◽  
Nonlinear Uncertain System

In this paper, output tracking of a geometric path for a nonlinear uncertain system with input and state constraints is considered. We propose an enhanced two-loop model predictive control approach for output tracking of a nonlinear uncertain system. Additionally, we propose an optimal version of output path following control problem to improve the controller synthesis. Satisfaction of the dynamical constraints of a system such as velocity, acceleration and jerk limitations is added to the problem introducing a new augmented system. The recursive feasibility of the proposed method is demonstrated, and its robust stability is guaranteed such that relaxation on the terminal constraint and penalty are achieved. To validate the theoretical benefits of the proposed controller, it is simulated on a SCARA robot manipulator and the results are compared with a two-loop model predictive controller successfully.

Research on Nonlinear Modeling and Simulation for Flexible Drive Train of Wind Turbine

2012 ◽  
Vol 424-425 ◽  
pp. 1041-1043
Author(s):  
Wen Hui Zhao ◽  
Zhen Yun Duan ◽  
She Liu
Keyword(s):  
Wind Turbine ◽  
Nonlinear Modeling ◽  
Uncertain System ◽  
Drive Train ◽  
Social Benefits ◽  
Modeling And Analysis ◽  
Construction Period ◽  
Modeling Methods ◽  
And Control ◽  
Nonlinear Uncertain System

Wind energy has preferable economic and social benefits because of its cleanliness and free pollution, short construction period, and so on. The wind turbine is a complicated nonlinear uncertain system. So the modeling and analysis of system is crucial to the system design of wind turbines. Drive train performance of wind turbine was analyzed, and modeling methods were presented according to rigid drive train and flexible drive train. Based on those models, software has been designed to show the performance of the wind turbine, and then contrast with the result that simulated by GH Bladed software, to verify the accuracy of the models. The results show that the models can be used in optimum design and control strategy.

Sign in / Sign up

Export Citation Format

Share Document