scholarly journals Takagi-Sugeno Fuzzy Coordinated Control System with Original Plant Fuzzy State Observer for a Power Unit

2008 ◽  
Vol 41 (2) ◽  
pp. 13205-13210
Author(s):  
Xiu-chun Luan ◽  
Wei-shi Han ◽  
Ai-guang Young ◽  
Yu Zhai ◽  
Yu Jiang
Keyword(s):  
Control System ◽  
Power Unit ◽  
Coordinated Control ◽  
State Observer ◽  
Original Plant ◽  
Takagi Sugeno ◽  
Fuzzy State ◽  
Fuzzy State Observer

scholarly journals A Control Approach Based on Observers of State and Uncertainty for a Class of Takagi–Sugeno Fuzzy Models

2021 ◽  
Vol 25 (3) ◽  
pp. 317-325
Author(s):  
Jun Zhao ◽  
Hugang Han ◽  
◽  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Fuzzy Model ◽  
State Observer ◽  
The State ◽  
State Information ◽  
Control Approach ◽  
Fuzzy Models ◽  
Takagi Sugeno ◽  
Stable Control

Although the Takagi–Sugeno fuzzy model is effective for representing the dynamics of a plant to be controlled, two main questions arise when using it just as other models: 1) how to deal with the gap, which is referred to as uncertainty in this study, between the model and the concerned plant, and how to estimate the state information when it cannot be obtained directly, especially with the existence of uncertainty; 2) how to design a controller that guarantees a stable control system where only the estimated state is available and an uncertainty exists. While the existing studies cannot effectively observe the state and the resulting control systems can only be managed to be uniformly stable, this study first presents a state observer capable of precisely estimating the state regardless of the existence of uncertainty. Then, based on the state observer, an uncertainty observer is derived, which can track the trajectory of uncertainty whenever it occurs in a real system. Finally, a controller based on both observers is presented, which guarantees the asymptotic stability of the resulting control system.

scholarly journals Fuzzy State Observer-Based Adaptive Dynamic Surface Control of Nonlinear Systems with Time-Varying Output Constraints

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Min Wan ◽  
Qingyou Liu ◽  
Jiawei Zheng ◽  
Jiaru Song
Keyword(s):  
Nonlinear Systems ◽  
Dynamic Surface Control ◽  
State Observer ◽  
Time Varying ◽  
Dynamic Surface ◽  
Control Approach ◽  
Surface Control ◽  
Output Constraints ◽  
Fuzzy State ◽  
Fuzzy State Observer

In this paper, a new fuzzy dynamic surface control approach based on a state observer is proposed for uncertain nonlinear systems with time-varying output constraints and external disturbances. An adaptive fuzzy state observer is used to estimate the states that cannot be measured in the systems. In our method, a time-varying Barrier Lyapunov Function (BLF) is used to ensure that the output does not violate time-varying constraints. In addition, dynamic surface control (DSC) technology is applied to overcome the problem of “explosion of complexity” in a backstepping control. Finally, the stability and signal boundedness of the system are confirmed by the Lyapunov method. The simulation results show the effectiveness and correctness of the proposed method.

The Optimized Design of Coordinated Control System Based on Load Feedforward and Unidirectional Decoupling

2014 ◽  
Vol 599-601 ◽  
pp. 722-725
Author(s):  
Yong Jie Zhai ◽  
Jun Ying Zhang ◽  
Yan Xia Zhang ◽  
Jin Song Zhao
Keyword(s):  
Control System ◽  
Power Unit ◽  
Control Object ◽  
Coordinated Control ◽  
Steam Pressure ◽  
Optimized Design ◽  
Decoupling Method ◽  
Proposed Model ◽  
Actual Operation ◽  
Main Steam

In actual operation, the rising load will lead to the reduction of pressure because of the long delay of the boiler. It can lead to the main steam pressure lockout in severe cases. The proposed model is derived by the principle analysis of control object and the introduction of load feedforward. The unidirectional decoupling method is verified by the simulation in Matlab. Not only the decoupling has achieved good results, but also the performance of the control system has been greatly improved. All the above study are based on a 1000MW power unit.

scholarly journals Adaptive Fuzzy Output-Feedback Method Applied to Fin Control for Time-Delay Ship Roll Stabilization

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Rui Bai
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Output Feedback Control ◽  
State Observer ◽  
Control Approach ◽  
Adaptive Fuzzy ◽  
Ship Roll ◽  
Roll Stabilization ◽  
Fuzzy State ◽  
Fuzzy State Observer

The ship roll stabilization by fin control system is considered in this paper. Assuming that angular velocity in roll cannot be measured, an adaptive fuzzy output-feedback control is investigated. The fuzzy logic system is used to approximate the uncertain term of the controlled system, and a fuzzy state observer is designed to estimate the unmeasured states. By utilizing the fuzzy state observer and combining the adaptive backstepping technique with adaptive fuzzy control design, an observer-based adaptive fuzzy output-feedback control approach is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB), and the control strategy is effective to decrease the roll motion. Simulation results are included to illustrate the effectiveness of the proposed approach.

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