نتایج جستجو برای: linear quadratic regulator controller

تعداد نتایج: 640247  

2013
D. Angeline Vijula N. Devarajan

Designing controller for the Multi Input Multi Output (MIMO) process is difficult because of the changes in process dynamics and interactions between process variables. This paper presents the approach to design a Linear Quadratic Gaussian (LQG) Controller for a multivariable process with a transmission zero using Linear Quadratic Regulator (LQR) and Kalman’s state estimation techniques. The pe...

2010
Ömer Faruk DURDU Adnan Menderes

A linear-like discrete-time fuzzy controller was designed to control and stabilize a single-pool irrigation canal. Saint Venant equations for open-channel flow were linearized using the Taylor series and a finite-difference approximation of the original nonlinear partial differential equations. Using the linear optimal control theory, a traditional linear quadratic regulator (LQR) was first dev...

2013
Aamir Hashim Obeid Ahmed

Direct Current (DC) motors have been extensively used in many industrial applications. Therefore, the control of the speed of a DC motor is an important issue and has been studied since the early decades in the last century. This paper presents a comparison of time response specification between conventional ProportionalIntegral-Derivatives (PID) controller and Linear Quadratic Regulator (LQR) ...

2013
Saptarshi Das Indranil Pan Kaushik Halder Shantanu Das Amitava Gupta

A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared Controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PIλDμ controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique that minimizes the change in trajectories of the state variables and the control signal. A class ...

2003
MAHDI JALILI-KHARAAJOO ALIREZA DEHESTANI

Active Queue Management (AQM) takes a trade-off between link utilization and delay experienced by data packets. From control point of view, it is rational to regard AQM as a typical regulation system. In this paper, two types of controllers, i.e. Sliding Mode Variable Structure (SMVS) controller and optimal Linear Quadratic Regulator (LQR) are designed for AQM. Simulation results conform the ro...

2012
R. Shisheie I. Shafieenejad N. Moallemi A. B. Novinzadeh

A novel algorithm based on LQR approach is presented to optimally tune the gains of a PI controller of a first order plus time-delay system. In this algorithm the weighting matrices Q and R of the cost function are adjusted by the natural frequency and damping ratio of the closed–loop system. In order to prove the optimality of this algorithm, it is applied to a servo-hydraulic actuator with no...

ژورنال: :مکانیک سازه ها و شاره ها 2013
محمد مهدی فاتح مریم بلوچ زاده

optimal discrete-time control of linear systems has been presented already. there are some difficulties to design an optimal discrete-time control of robot manipulator since the robot manipulator is highly nonlinear and uncertain. this paper presents a novel robust optimal discrete-time control of electrically driven robot manipulators for performing repetitive tasks. the robot performs repetit...

2008
M. F. Hassan E. K. Boukas

This paper deals with the linear quadratic regulator with constraints on the state and the input vectors. Such an optimization problem has a wide applications in industry like chemical and manufacturing industries. Our goal in this paper consists of developing an efficient numerical algorithm to solve such problem. Our technique relays on an iterative approach that uses the solution of the stan...

Nowadays, the doubly-fed induction generators (DFIGs) based wind turbines (WTs) are the dominant type of WTs connected to grid. Traditionally the back-to-back converters are used to control the DFIGs. In this paper, an Indirect Matrix Converter (IMC) is proposed to control the generator. Compared with back-to-back converters, IMCs have numerous advantages such as: higher level of robustness, re...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2017

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