An FTCS subject to random actuator failures and plant parameter uncertainties

2004 ◽  
Author(s):  
Mufeed M. Mahmoud
Keyword(s):  
Parameter Uncertainties ◽  
Actuator Failures ◽  
Plant Parameter

scholarly journals Automatic Generation Control using Genetic Algorithm Based PID Controller

2020 ◽  
Vol 9 (5) ◽  
pp. 1047-1053
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Thermal Power ◽  
Optimal Solution ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Parameter Uncertainties ◽  
Survival Of The Fittest ◽  
Generation Control ◽  
Plant Parameter

In this paper Automatic Generation Control (AGC) of a single-area thermal power plant without reheat turbine is introduced using a Proportional Integral Derivative (PID) controller. The gains of the controller are optimized using Genetic Algorithm (GA). The problem of tuning the PID controller is formulated as optimization problem with constraints on proportional, derivative and integral gains. The proposed algorithm uses Darwin’s law of natural selection and survival of the fittest to reach the optimal solution. The simulation results confirm the system’s ability to retain frequency while handling sudden load disturbances. The second part of the investigation includes robustness testing of the system against plant parameter variations. The results are verified and the system performance is found to be robust against parameter uncertainties

Adaptive Fault-Tolerant Control for a Class of Nonlinear MIMO Systems with Matched and Mismatched Uncertainties

2014 ◽  
Vol 556-562 ◽  
pp. 2452-2457
Author(s):  
Wan Qing Xiang ◽  
Wei Ao ◽  
Yi Yuan Chen
Keyword(s):  
Fault Tolerant ◽  
Mimo Systems ◽  
Tracking Error ◽  
Fault Tolerant Control ◽  
Fault Detection And Diagnosis ◽  
Parameter Uncertainties ◽  
Actuator Failures ◽  
Mismatched Uncertainties ◽  
On Line ◽  
Detection And Diagnosis

This paper proposed a fault-tolerant control (FTC) for nonlinear control-affine uncertain MIMO systems. The proposed controller is no need for on-line fault detection and diagnosis unit, and inexpensive to compute. An adaptive FTC designed method based on Lyapunov-like approach is developed to overcome the affect of parameter uncertainties, matched and mismatched disturbance, and actuator failures. And the theoretical analysis demonstrates that asymptotical tracking error convergence would be guaranteed by the controller. Numerical simulations are provided to validate and illustrate the benefits of the proposed control scheme.

Guaranteed Tracking Behavior in the Sense of Input-Output Spheres for Systems With Uncertain Parameters

1984 ◽  
Vol 106 (4) ◽  
pp. 273-279 ◽  
Author(s):  
S. Jayasuriya ◽  
M. J. Rabins ◽  
R. D. Barnard
Keyword(s):  
Vibration Isolation ◽  
System Response ◽  
Parameter Uncertainties ◽  
Feedback Controllers ◽  
Speed Controller ◽  
State Observers ◽  
Tracking Behavior ◽  
Normed Function ◽  
Plant Parameter ◽  
Nonlinear State

A class of dynamical systems containing uncertain elements and subject to uncertain inputs is considered. The plant parameter uncertainties are assumed to be “unknown-but-bounded.” Design criteria are given for the synthesis of controllers for such systems, which guarantee that every input within a certain neighborhood of a nominal input gives rise to a corresponding output or system response in a prespecified neighborhood of a nominal output. These tracking specifications are formulated in terms of topological neighborhoods in normed function spaces, and feedback controllers are constructed by nonlinear state observers related to the uncertain plants and utilizing the measured output. These results, based primarily on fixed-point and operator norm techniques, provide quantitative servo designs and precise error bounds for the specified tracking behavior. The applicability of such derived criteria are demonstrated through synthesized controllers for two examples: a vibration isolation problem and a speed controller.

scholarly journals Load Frequency Control Optimization using PSO Based Integral Controller

2020 ◽  
Vol 8 (6) ◽  
pp. 97-103
Keyword(s):  
Power Systems ◽  
Power System ◽  
Thermal Power ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Parameter Uncertainties ◽  
Parameter Variations ◽  
Integral Controller ◽  
Robust System ◽  
Plant Parameter

This paper presents Automatic Generation Control (AGC) of a power system using integral controller. In the present day power systems, it has become absolutely essential to maintain the quality of the power generated indicating the need of a robust system that can handle parameter uncertainties neglecting disturbances. Although,extensive research has been done in thisarea, design of an efficient and robust system still remains one of the important issues that need to be addressed. Hence in this paperan integral controller has been designed for a singlearea thermal power system without reheat turbine. The optimum controller gain is obtained by Particle Swarm Optimization (PSO) based on Integral of Absolute Error (IAE) and Integral of Square Error (ISE) criterion. The second part of the investigation includes robustness testing of the designed controller against different load conditions and plant parameter variations. The results obtained are compared to those obtained by other control methodologies presented in the recent literature. The results of the simulation validate the superiority of the approach in terms of improvement in the transient response and robustness to plant parameter variations.

Robust H2 Output Feedback Controller Design for Damping Power System Oscillations

2017 ◽  
Vol 6 (10) ◽  
pp. 8
Author(s):  
Kho Hie Kwee ◽  
Hardiansyah .
Keyword(s):  
Power System ◽  
Output Feedback ◽  
Controller Design ◽  
Sufficient Conditions ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Parameter Uncertainties ◽  
Worst Case ◽  
Output Feedback Controller ◽  
Power System Oscillations

This paper addresses the design problem of robust H2 output feedback controller design for damping power system oscillations. Sufficient conditions for the existence of output feedback controllers with norm-bounded parameter uncertainties are given in terms of linear matrix inequalities (LMIs). Furthermore, a convex optimization problem with LMI constraints is formulated to design the output feedback controller which minimizes an upper bound on the worst-case H2 norm for a range of admissible plant perturbations. The technique is illustrated with applications to the design of stabilizer for a single-machine infinite-bus (SMIB) power system. The LMI based control ensures adequate damping for widely varying system operating.

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