scholarly journals Simulation of a Steam Injected Gas Turbine Plant Control System

1997 ◽  
Author(s):  
Shusheng Zang ◽  
Jaqiang Pan
Keyword(s):  
Gas Turbine ◽  
Flow Rate ◽  
Controller Design ◽  
Dynamic Performance ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Turbine Plant ◽  
Fuel Flow ◽  
Lqr Controller ◽  
Gas Turbine Plant

The design of a modern Linear Quadratic Regulator (LQR) is described for a test steam injected gas turbine (STIG) unit. The LQR controller is obtained by using the fuel flow rate and the injected steam flow rate as the output parameters. To meet the goal of the shaft speed control, a classical Proportional Differential (PD) controller is compared to the LQR controller design. The control performance of the dynamic response of the STIG plant in the case of rejection of load is evaluated. The results of the computer simulation show a remarkable improvement on the dynamic performance of the STIG unit.

scholarly journals System Identification and LQR Controller Design with Incomplete State Observation for Aircraft Trajectory Tracking

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5354
Author(s):  
Piotr Lichota ◽  
Franciszek Dul ◽  
Andrzej Karbowski
Keyword(s):  
Simulation Model ◽  
Trajectory Tracking ◽  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Atmospheric Conditions ◽  
Nonlinear Transport ◽  
Linear Quadratic ◽  
Likelihood Principle ◽  
Tracking Errors ◽  
Lqr Controller

This paper presents a controller design process for an aircraft tracking problem when not all states are available. In the study, a nonlinear-transport aircraft simulation model was used and identified through Maximum Likelihood Principle and Extended Kalman Filter. The obtained mathematical model was used to design a Linear–Quadratic Regulator (LQR) with optimal weighting matrices when not all states are measured. The nonlinear aircraft simulation model with LQR controller tracking abilities were analyzed for multiple experiments with various noise levels. It was shown that the designed controller is robust and allows for accurate trajectory tracking. It was found that, in ideal atmospheric conditions, the tracking errors are small, even for unmeasured variables. In wind presence, the tracking errors were proportional to the wind velocity and acceptable for small and moderate disturbances. When turbulence was present in the experiment, state variable oscillations occurred that were proportional to the turbulence intensity and acceptable for small and moderate disturbances.

Real Time Modeling and Control of Three Tank Hybrid System

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
K. Sathishkumar ◽  
V. Kirubakaran ◽  
T. K. Radhakrishnan
Keyword(s):  
Real Time ◽  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Estimation Model ◽  
Linear Quadratic ◽  
Loop Control ◽  
Modeling And Control ◽  
Time Modeling ◽  
Lqr Controller ◽  
Servo Tracking

AbstractThis study discusses the modeling and linear quadratic regulator (LQR) controller based closed loop control of a three tank hybrid (TTH) process. A pseudo random binary signal (PRBS) based excitation data obtained from a real time TTH setup is utilized in validating its first principle model (FPM). Based on top and bottom interactions, various modes prevalent are considered based on steady state physical reachability analysis of the TTH for a given input range for controller design. The FPM is linearized using nominal values of process parameters using Jacobians from each existing mode. LQR controllers are designed for each mode. A supervisory structure is designed for selecting estimation model and controller for each appropriate mode. Results from real time servo tracking and disturbance rejection experiments are discussed.

scholarly journals Rotor-Flying Manipulator: Modeling, Analysis, and Control

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Bin Yang ◽  
Yuqing He ◽  
Jianda Han ◽  
Guangjun Liu
Keyword(s):  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Combined System ◽  
Underwater Robots ◽  
Modeling Analysis ◽  
Full State Feedback ◽  
Lqr Controller ◽  
Linearized Model ◽  
And Control

Equipping multijoint manipulators on a mobile robot is a typical redesign scheme to make the latter be able to actively influence the surroundings and has been extensively used for many ground robots, underwater robots, and space robotic systems. However, the rotor-flying robot (RFR) is difficult to be made such redesign. This is mainly because the motion of the manipulator will bring heavy coupling between itself and the RFR system, which makes the system model highly complicated and the controller design difficult. Thus, in this paper, the modeling, analysis, and control of the combined system, called rotor-flying multijoint manipulator (RF-MJM), are conducted. Firstly, the detailed dynamics model is constructed and analyzed. Subsequently, a full-state feedback linear quadratic regulator (LQR) controller is designed through obtaining linearized model near steady state. Finally, simulations are conducted and the results are analyzed to show the basic control performance.

Comparative Controller Design for a Marine Gas Turbine Propulsion System

1990 ◽  
Vol 112 (2) ◽  
pp. 182-186 ◽  
Author(s):  
D. L. Smith ◽  
V. A. Stammetti
Keyword(s):  
Gas Turbine ◽  
Disturbance Rejection ◽  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Shaft Speed ◽  
Linear Quadratic ◽  
Transient Control ◽  
Integral Controller ◽  
Shaft Torque ◽  
Measures Of Performance

Controller design for marine gas turbine systems should consider three measures of performance: transient control, steady-state accuracy, and disturbance rejection. This paper presents and compares two common types of controller design in terms of these measures. The goal of the controllers was shaft speed control. To meet this goal, a classical Proportional-plus-Integral controller was designed and compared to a modern Linear Quadratic Regulator design. The controllers’ performances were evaluated with respect to the three measures mentioned above, with disturbances being input as oscillations in shaft torque due to seaway cycling.

Steady-State and Dynamic Performance Prediction of an Indirect Fired Gas Turbine Plant

1998 ◽  
Author(s):  
G. Crosa ◽  
L. Fantini ◽  
G. Ferrari ◽  
L. Pizzimenti ◽  
A. Trucco
Keyword(s):  
Gas Turbine ◽  
Performance Prediction ◽  
Dynamic Behaviour ◽  
Large Range ◽  
Dynamic Performance ◽  
Combined Cycle ◽  
Turbine Plant ◽  
First Results ◽  
Gas Turbine Plant ◽  
The Time Domain

The paper presents the first results of a research, in progress at the Istituto di Macchine e Sistemi Energetici of Genova University, about a gas-steam combined cycle with indirect fired gas-turbine. The study has dealt with the gas turbine plant which is the most innovative part of the process. To select the design point of every component, a thermodynamic parametric analysis over a large range of pressure ratios and a large range of mass flow ratio through the two characteristic by-passes has been developed. The off-design performances of the gas plant have been investigated and finally a proposal of control system has been made, tested using a simple mathematical model, able to analyse in the time domain the dynamic behaviour of the controlled gas plant.

Design Optimization of Car-Trailer Combinations With Electronic Stability Systems

2014 ◽  
Author(s):  
Tao Sun ◽  
Yuping He
Keyword(s):  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Lateral Stability ◽  
Trial And Error ◽  
Linear Quadratic ◽  
Weighting Factors ◽  
Lqr Controller ◽  
Ct System ◽  
Trial And Error Method ◽  
Error Method

To date, Linear Quadratic Regulator (LQR) controllers based on linear vehicle models have been researched and developed for improving the lateral stability of car-trailer (CT) combinations. However, in the LQR controller design, there is no a systematic way to determine the weighting factors of the performance index. Generally, the weighting factors are selected using trial and error based on designer’s experience. In order to facilitate the LQR controller design, a new method based on a genetic algorithm (GA) is presented to determine the appropriate weighting factors in the LQR controller design. To examine the proposed method, a controller for an active trailer differential braking (ATDB) system of a car-trailer (CT) system is designed and examined. The simulation results indicate that compared with the LQR controller based on the weighting factors derived from the conventional trial and error method, the controller developed using the proposed method exhibits better performance.

scholarly journals Comparative Controller Design for a Marine Gas Turbine Propulsion System

1989 ◽  
Author(s):  
David L. Smith ◽  
Vincent A. Stammetti
Keyword(s):  
Steady State ◽  
Gas Turbine ◽  
Controller Design ◽  
Linear Quadratic Regulator ◽  
Shaft Speed ◽  
Linear Quadratic ◽  
Transient Control ◽  
Integral Controller ◽  
Shaft Torque ◽  
Measures Of Performance

Controller design for marine gas turbine systems should consider three measures of performance: transient control, steady state accuracy, and distrubance rejection. This paper presents and compares two common types of controller designs in terms of these measures. The goal of the controllers was shaft speed control. To meet this goal, a classical Proportional-plus-integral controller was designed and compared to a modern Linear Quadratic Regulator design. The controllers’ performances were evaluated with respect to the three measures mentioned above, with disturbances being input as oscillations in shaft torque due to seaway cycling.

Robust stabilization control of a spatial inverted pendulum using integral sliding mode controller

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ishan Chawla ◽  
Vikram Chopra ◽  
Ashish Singla
Keyword(s):  
Inverted Pendulum ◽  
Sliding Mode ◽  
Robust Stabilization ◽  
Linear Quadratic Regulator ◽  
Humanoid Robots ◽  
Sliding Mode Controller ◽  
Linear Quadratic ◽  
Integral Sliding Mode ◽  
Wide Range ◽  
Lqr Controller

AbstractFrom the last few decades, inverted pendulums have become a benchmark problem in dynamics and control theory. Due to their inherit nature of nonlinearity, instability and underactuation, these are widely used to verify and implement emerging control techniques. Moreover, the dynamics of inverted pendulum systems resemble many real-world systems such as segways, humanoid robots etc. In the literature, a wide range of controllers had been tested on this problem, out of which, the most robust being the sliding mode controller while the most optimal being the linear quadratic regulator (LQR) controller. The former has a problem of non-robust reachability phase while the later lacks the property of robustness. To address these issues in both the controllers, this paper presents the novel implementation of integral sliding mode controller (ISMC) for stabilization of a spatial inverted pendulum (SIP), also known as an x-y-z inverted pendulum. The structure has three control inputs and five controlled outputs. Mathematical modeling of the system is done using Euler Lagrange approach. ISMC has an advantage of eliminating non-robust reachability phase along with enhancing the robustness of the nominal controller (LQR Controller). To validate the robustness of ISMC to matched uncertainties, an input disturbance is added to the nonlinear model of the system. Simulation results on two different case studies demonstrate that the proposed controller is more robust as compared to conventional LQR controller. Furthermore, the problem of chattering in the controller is dealt by smoothening the controller inputs to the system with insignificant loss in robustness.

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