Controller design for position tracking of nonlinear system

Author(s):  
S. Md Rozali ◽  
M. N. Kamarudin ◽  
M. F. Rahmat ◽  
A. Rashid Husain ◽  
Amar Faiz Zainal Abidin
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Longchuan Guo ◽  
Chuanping Zhou ◽  
Xiaoqing Tian ◽  
Huawei Ji ◽  
Yudong Peng

This paper mainly studies the output feedback control problem of the stochastic nonlinear system based on loose growth conditions and applies the research results to the valve control system of underwater oil and gas pipelines, which can improve the speed and stability of the equipment system. First, the concept of randomness is introduced to study the actual tracking control problem of output feedback of stochastic nonlinear systems, remove the original harsher growth conditions, make it meet the more general polynomial function growth conditions, and propose a combination of static and dynamic output feedback practices. The design of the tracking controller makes all the states of the system meet boundedness and ensures that the tracking error of the system converges to a small neighborhood of zero. Second, the system is extended to the parameter-uncertain system, and the output feedback tracking controller with complete dynamic gain is constructed by proving the boundedness of the system state and gain. Further, the time-delay factor is introduced, and the nonlinear term of the system satisfies the more relaxed power growth condition, combined with the inverse method to cleverly construct a set of Lyapunov functions and obtain the output controller to ensure that the system is asymptotically probabilistic in the global scope. Stability. Finally, through the ocean library in the Simulation X simulation software, the controller design results are imported into the underwater electro-hydraulic actuator model to verify the effectiveness of the controller design.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ruiguo Liu ◽  
Xuehui Gao

A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.


2005 ◽  
Vol 41 (3) ◽  
pp. 250-258 ◽  
Author(s):  
Nami KIDANE ◽  
Hisakazu NAKAMURA ◽  
Yuh YAMASHITA ◽  
Hirokazu NISHITANI

2010 ◽  
Vol 29-32 ◽  
pp. 155-162
Author(s):  
Li Jun Zheng ◽  
Xin Mei Cheng ◽  
Shan Shan Chen

In order to solve the electro-hydraulic system position tracking control problem, which caused by the nonlinear system friction torque disturbance, a model-free algorithm for the friction torque adaptive identification and compensation was put forward. The algorithm is based on the application mathematics knowledge and matching & following principle. It can accommodate to all situations with the friction torque (force) variety. The simulation result indicates that the algorithm can restrains the interference of the friction torque (force) effectively, and the system’s low speed character and tracking performance were been improved.


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