An adaptive grey PID-type fuzzy controller design for a non-linear liquid level system

2009 ◽  
Vol 31 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Erdal Kayacan ◽  
Okyay Kaynak
2011 ◽  
Vol 188 ◽  
pp. 241-245
Author(s):  
Yong Li Bi ◽  
Zhong Xian Wang

For some optical tracking measurement systems, because their size, weight and space structure are very strict restrictions, DC servo motors have to drive the loads through the several stages of gear transmission. For such a nonlinear controlled object, it is difficult to obtain acceptable control performance applying the traditional controller design method. In the paper, firstly, establish such a non-linear system dynamic model, and consider intelligent control algorithm to inhibit mechanical resonance effect for the control system performance. In order to achieve real-time control easily, the paper suggests a fuzzy numeric model with the self-regulating factor based on analytic expression for such a non-linear system. The result demonstrates that the fuzzy controller is very effective in applications. This work provides a new thought for a controller design to inhibit the low mechanical resonance frequency.


Author(s):  
Chaiyo Thammarat ◽  
Kittisak Lurang ◽  
Deacha Puangdownreong ◽  
Sarot Hlangnamthip ◽  
Auttarat Nawikavatan ◽  
...  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Tao Xu ◽  
Haisheng Yu ◽  
Jinpeng Yu

This work investigates the finite-time control problem for a nonlinear four-tank cross-coupled liquid level system by the port-controlled Hamiltonian (PCH) model. A fixed-free methodology is exhibited which can be used to simplify the controller design procedure. To get an adjustable convergent gain of the finite-time control, a feasible technique named damping normalization is proposed. A novel parameter autotuning algorithm is given to clarify the principle of choosing parameters of the PCH method. Furthermore, a finite-time controller is designed by a state-error desired Hamiltonian function, and the relationship between the settling time and a parameter is given, which can be applied in practical engineering easily to adjust the settling time according to the industrial need. Finally, simulation and experimental results verify the effectiveness of the proposed algorithm.


Author(s):  
Diego F. Sendoya-Losada ◽  
Jose O. Arroyave-Quezada ◽  
Alvaro J. Velasquez-Pobre
Keyword(s):  

1995 ◽  
Vol 7 (1) ◽  
pp. 57-62
Author(s):  
Kazuo Tanaka ◽  

In previous papers, 1,2) we designed a control system for backing up a computer-simulated, car-like robot having a trailer which is non-linear and unstable. Furthermore, we have theoretically shown 1,2) that the designed fuzzy controller smoothly achieves backing up control of this robot from all initial positions. In this paper, we realize backing up control of a real car-like robot having a trailer. The design is based on a technique of modelbased fuzzy control using a robust stability analysis and the concept of parallel distributed compensation. It is shown that the concept of parallel distributed compensation is simple and easy. Stability analysis and modelbased fuzzy controller design are described in terms of Lyapunov’s approach. The usefulness of the modelbased fuzzy controller design is then checked in the simulation. Finally, the experimental results illustrate that the designed fuzzy controller effectively realizes backing up control of the real car-like robot having a trailer.


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