Motion control of a cruise ship by using active stabilizing fins

2011 ◽  
Vol 225 (4) ◽  
pp. 311-324 ◽  
Author(s):  
J-H Kim ◽  
Y-H Kim
Keyword(s):  
Motion Control ◽  
Control Algorithm ◽  
Roll Motion ◽  
Cruise Ship ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Lqg Control ◽  
Induced Motion ◽  
The Time Domain ◽  
Wave Induced

The present study considers the motion control of a cruise ship by using active stabilizing fins. One or two pairs of stabilizing fins are equipped to reduce the roll and/or pitch motions of the cruise ship. Each fin is controlled by algorithms based on proportional–integral–derivative (PID) and linear quadratic Gaussian (LQG) control. Numerical analysis of the wave-induced motion of a cruise ship with stabilizing fins is carried out by using the time-domain ship motion program which has been developed through this study. The resultant motion response as the performance of each controller is compared between different control algorithms. Based on the present simulation results, the stabilizing fin can be considered a good instrument to reduce pitch motion as well as roll motion of the present cruise ship model. The present results show that the PID control algorithm, a simple but practical algorithm, can be an appropriate method to reduce the roll motion in a moderate sea state, while the LQG control algorithm shows good performance in reducing not only the roll motion but also the coupled roll and pitch motions simultaneously in all of environmental conditions considered.

LQG Control and Robustness Study for a Prestressed Membrane With Bimorph Actuators

2014 ◽  
Author(s):  
Ipar Ferhat ◽  
Cornel Sultan
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Weak Form ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Nominal System ◽  
Order Form ◽  
Lqg Control ◽  
Bimorph Actuators ◽  
Element Method

Linear Quadratic Gaussian (LQG) control is developed for a prestressed square membrane with bimorph actuators attached to it. The membrane is modeled using the finite element method and the membrane is assumed to be clamped on all edges. After obtaining the mass, damping, stiffness and input matrices in second order form using the weak form Finite Element Method (FEM), the problem is represented in first order form to develop the LQG controller. To study the robustness of the system, the control and observer gain matrices developed for the nominal system are applied to systems obtained from the nominal system by modifying material properties and prestress.

Adaptive linear quadratic gaussian (LQG) control of a bioreactor

2007 ◽  
Vol 53 (2) ◽  
pp. 133-141 ◽  
Author(s):  
G. Roux ◽  
B. Dahhou ◽  
K. Najim ◽  
I. Queinnec
Keyword(s):  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Lqg Control

Acceleration/Drift Feedback Control of MRD Connected Buildings

2013 ◽  
Author(s):  
Naresh K. Chandiramani ◽  
Gokarna B. Motra
Keyword(s):  
Input Voltage ◽  
Magnetorheological Damper ◽  
Effective Control ◽  
Control Force ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Seismic Response Control ◽  
Lqg Control ◽  
Direct Feedback ◽  
Static Output

Seismic response control of buildings connected by a magnetorheological damper (MRD) is studied. The desired control force is obtained using Linear Quadratic Gaussian (LQG) control with feedback of estimated states, or Optimal Static Output Feedback (OSOF) control using direct feedback of outputs. The damper input voltage is predicted using a Recurrent Neural Network (RNN). Various sensor configurations and state weightings are considered to obtain effective control. Effective control is possible using few sensors (eg. a single accelerometer with LQG-RNN).

scholarly journals LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6496
Author(s):  
Jose Joaquin Sainz ◽  
Elías Revestido Herrero ◽  
Jose Ramon Llata ◽  
Esther Gonzalez-Sarabia ◽  
Francisco J. Velasco ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Control Systems ◽  
Control Strategy ◽  
Monte Carlo Study ◽  
Linear Quadratic ◽  
Marine Structures ◽  
Linear Quadratic Gaussian ◽  
Sea Bed ◽  
Lqg Control ◽  
Precision And Accuracy

This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed.

scholarly journals LQG control of linear lossless positive-real systems: the continuous-time and discrete-time cases

2021 ◽  
Author(s):  
Maide Bucolo ◽  
Arturo Buscarino ◽  
Luigi Fortuna ◽  
Mattia Frasca
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Linear Quadratic ◽  
Positive Real ◽  
Linear Quadratic Gaussian ◽  
Numerical Examples ◽  
Input And Output ◽  
Lqg Control ◽  
Optimal Gains

AbstractLossless positive-real systems have been widely studied in the literature. They are systems in which the energy is entirely transferred between input and output. In this paper, new aspects related to the linear quadratic gaussian (LQG) control of lossless positive-real systems are reported including both the continuous-time and the discrete-time cases. Direct formulas for the calculation of the optimal gains will be introduced and the properties of the different structures of the LQG compensator obtained for the continuous-time and the discrete-time cases will be emphasized, also in view of designing positive-real LQG compensators. Numerical examples related to low-damped structures are also discussed to verify the possibility to design the LQG compensator on the basis of a lossless approximation.

scholarly journals Examination of Control Parameters for Medical Grade Insulin Pump

2019 ◽  
Vol 9 (1S3) ◽  
pp. 19-22
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Insulin Pump ◽  
Infusion Pump ◽  
Control Parameters ◽  
Proportional Integral Derivative ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Electro Motive Force ◽  
Selection Of

In this work, an attempt has been made to identify the appropriate parameters of Permanent Magnet Direct Current (PMDC) motor for infusion pump. PMDC motor plays important role in medical devices. In this, selection of parameters such as rotor inertia, armature resistance, armature inductance and back electro motive force constant is crucial that help to achieve the required speed. The proposed work uses PID controller (Proportional Integral Derivative) and LQG (Linear-Quadratic Gaussian) control algorithm to evaluate the parameters for transient response of the PMDC motor. It is demonstrated that the chosen parameters are able to reach the required speed with quick rise time by 0.691 seconds by employing LQG.

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