On chaotification of a class of stable PMSM systems via T-S fuzzy state feedback control method

2010 ◽  
Author(s):  
Yusheng Li ◽  
Baoping Kuang ◽  
Wenxiang Xu
Keyword(s):  
Feedback Control ◽  
State Feedback ◽  
Control Method ◽  
State Feedback Control ◽  
Feedback Control Method ◽  
Fuzzy State

CHAOS SYNCHRONIZATION IN THE PRESENCE OF NOISE

2011 ◽  
Vol 22 (12) ◽  
pp. 1409-1418 ◽  
Author(s):  
KUAN-YU CHEN ◽  
PI-CHENG TUNG ◽  
SHIH-LIN LIN ◽  
MONG-TAO TSAI
Keyword(s):  
Feedback Control ◽  
White Noise ◽  
Chaos Synchronization ◽  
State Feedback ◽  
Control Method ◽  
Type System ◽  
Chaotic Signal ◽  
State Feedback Control ◽  
Duffing System ◽  
Feedback Control Method

In this paper, we first develop a systematic procedure of state feedback control, based on a Lur'e-type system, to analyze the synchronization of two chaotic systems in the presence of random white noise. With the aid of the modified independent component analysis (ICA), the real chaotic signal can be extracted from a noisy source where the chaotic signal has been contaminated by random white noise. Hence, a new scheme has been proposed in this paper to combine the modified ICA design and the state feedback control method for achieving chaos synchronization. The synchronization time can be arbitrarily designed to guarantee stability, even if the system's output is corrupted by measuring noise. A Duffing system example is provided to show the effectiveness of the proposed scheme. The new scheme is first used for control systems with measurement noise which can replace the conventional Kalman filter.

scholarly journals State-Feedback Control for Fractional-Order Nonlinear Systems Subject to Input Saturation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Junhai Luo
Keyword(s):  
Feedback Control ◽  
Nonlinear Systems ◽  
Fractional Order ◽  
State Feedback ◽  
Control Method ◽  
Input Saturation ◽  
State Feedback Control ◽  
Sufficient Condition ◽  
Feedback Control Method ◽  
Linear State

We give a state-feedback control method for fractional-order nonlinear systems subject to input saturation. First, a sufficient condition is derived for the asymptotical stability of a class of fractional-order nonlinear systems. Then based on Gronwall-Bellman lemma and a sector bounded condition of the saturation function, a linear state-feed back controller is designed. Finally, two simulation examples are presented to show the validity of the proposed method.

fuzzy state-feedback control design for nonlinear systems with -stability constraints: An LMI approach

2008 ◽  
Vol 78 (4) ◽  
pp. 514-531 ◽  
Author(s):  
Wudhichai Assawinchaichote ◽  
Sing Kiong Nguang ◽  
Peng Shi ◽  
El-Kébir Boukas
Keyword(s):  
Feedback Control ◽  
Nonlinear Systems ◽  
State Feedback ◽  
Control Design ◽  
State Feedback Control ◽  
Lmi Approach ◽  
Fuzzy State

Improved State-Feedback Control for Current Source Converter of SMES

2012 ◽  
Vol 512-515 ◽  
pp. 1049-1054 ◽  
Author(s):  
Si Ping Zhou ◽  
Jing Shi ◽  
Tao Jin ◽  
Qing He ◽  
Li Ren ◽  
...  
Keyword(s):  
Control System ◽  
Feedback Control ◽  
State Feedback ◽  
Control Method ◽  
Magnetic Energy ◽  
Current Source ◽  
State Feedback Control ◽  
Discretization Method ◽  
Error Vector ◽  
Current Source Converter

Current source converter (CSC) can control power transfer between superconducting coil and the AC power system, which is the key component of superconducting magnetic energy storage (SMES). This paper presents an improved state-feedback control for CSC of SMES. Adopting the discretization method, the design of decoupled state-feedback control system is simple and straight. To overcome the drawbacks of the discretization method and improve the control system dynamics, the effect of the control time delay is considered. Furthermore, by selecting the current error vector and the output voltage error vector as the additional state variables, a linear state feedback loop is added to the control system to achieve the feature of deadbeat. The steady state performance and dynamic response are investigated. MATLAB simulation is performed to evaluate the performance of the proposed control method.

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