نتایج جستجو برای: multi stage controller

تعداد نتایج: 855983  

2017
A. Ganga Dinesh Kumar N. V. Ramana

Two problems: Parameter uncertainty and chattering effect present in Control signal are have a great deal in performance of system with the designed controllers. This paper presents Fuzzy Sliding Mode Controller (FSMC) for Multi Area Load Frequency Control problem or Automatic Generation Control (AGC) in a De-regulated environment. The first problem is addressed by designing a sliding mode cont...

2009
Sidhartha Panda

A systematic procedure for modeling, simulation and optimally tuning the parameters of a Static Synchronous Series Compensator (SSSC) controller in a multi-machine system, for power system stability enhancement is presented in this paper. For the simulation purpose, the model of multi-machine power system with SSSC controller is developed in MATLAB/SIMULINK using Sim Power System (SPS) blockset...

2012
AIK-HONG LEE Joseph Bentsman Aik Hong Lee

The simultaneous use of the state and the output of the offline controller in bumpless transfer design for the multi-input-multi-output (MIMO) systems is proposed. Under the large online/offline controller mismatch, the recently introduced MIMO bumpless transfer design based on the feedback of the offline controller state and the online controller input and output is found to produce significan...

2013
S. Jalilzadeh M. Darabian M. Azari

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

In this paper a fuzzy logic (FL) based load frequency controller (LFC) called discrete FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) is proposed to ensure the stability of a multi-source power system in restructured environment. The whale optimization algorithm (WOA) is used for optimum designing the proposed control strategy to reduce fuzzy system effort and achieve the best performance of LFC task. Further...

Journal: :Robotica 2008
Celso De La Cruz Ricardo O. Carelli

This work presents, first, a complete dynamic model of a unicycle-like mobile robot that takes part in a multirobot formation. A linear parameterization of this model is performed in order to identify the model parameters. Then, the robot model is input-output feedback linearized. On a second stage, for the multi-robot system, a model is obtained by arranging into a single equation all the feed...

2014
A. Kulkarni

This paper presents an adaptive backstepping controller for a class of multi input multi output (MIMO) underactuated system, with uncertain dynamics, in its original nonsquare form. The proposed controller combines a wavelet based backstepping controller and a robust control term to obtain the desired tracking performance. Proposed scheme utilizes the concept of regularized inverse for effectiv...

Journal: :SIAM J. Control and Optimization 2013
Erhan Bayraktar Yu-Jui Huang

We consider a zero-sum stochastic differential controller-and-stopper game in which the state process is a controlled diffusion evolving in a multi-dimensional Euclidean space. In this game, the controller affects both the drift and the volatility terms of the state process. Under appropriate conditions, we show that the game has a value and the value function is the unique viscosity solution t...

Journal: :Automatica 2018
Thomas Berger Huy Hoàng Lê Timo Reis

We consider tracking control for nonlinear multi-input, multi-output systems which have arbitrary strict relative degree and stable internal dynamics. For a given sufficiently smooth reference signal, our aim is to design a controller which achieves that the tracking error evolves within a prespecified performance funnel. To this end, we introduce a new controller which involves the first r− 1 ...

2008
M Giacomán-Zarzar R Ramirez-Mendoza PJ Fleming

Two techniques are combined during the design of an optimal controller: Linear Matrix Inequalities (LMIs) and Multi-objective Genetic Algorithms (MOGAs). In this paper the LMI optimization technique is used to obtain a single controller while MOGA is used to convert the controller design into a multi-objective optimization procedure. The combination of these techniques is proposed in this docum...

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