Analysis of a Hydrofoil Craft with a Suspension System

2020 ◽  
Author(s):  
Michel Touw ◽  
Jacob Lotz ◽  
Ido Akkerman
Keyword(s):  
Experimental Data ◽  
Control System ◽  
State Space ◽  
State Space Model ◽  
Suspension System ◽  
Future Research ◽  
Passive System ◽  
Height Control ◽  
Space Model ◽  
Front Wing

In this paper we investigate the efficacy of augmenting, or replacing, an active height control system for a submerged hydrofoil with a passive system based on springs and dampers. A state-space model for submerged hydrofoils is formulated and extended to allow for a suspension at the front wing, aft wing or both wings. The model is partially verified by obtaining results in the fixed-wing limit and comparing these with experimental data from the MARIN Foiling Future Demonstrator. In the current study we limit ourselves to translational springs, only allowing suspension motion in the heave direction. This results in unfavorable behavior: either the motions increased or the system becomes unstable. It is therefore recommended for future research to try rotational springs.

scholarly journals Adaptive Model Predictive Vibration Control of a Cantilever Beam with Real-Time Parameter Estimation

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Gergely Takács ◽  
Tomáš Polóni ◽  
Boris Rohal’-Ilkiv
Keyword(s):  
Control System ◽  
Vibration Control ◽  
State Space ◽  
Real Time ◽  
Cantilever Beam ◽  
State Space Model ◽  
Model Parameters ◽  
Extended Kalman Filtering ◽  
Space Model ◽  
Continuous State

This paper presents an adaptive-predictive vibration control system using extended Kalman filtering for the joint estimation of system states and model parameters. A fixed-free cantilever beam equipped with piezoceramic actuators serves as a test platform to validate the proposed control strategy. Deflection readings taken at the end of the beam have been used to reconstruct the position and velocity information for a second-order state-space model. In addition to the states, the dynamic system has been augmented by the unknown model parameters: stiffness, damping constant, and a voltage/force conversion constant, characterizing the actuating effect of the piezoceramic transducers. The states and parameters of this augmented system have been estimated in real time, using the hybrid extended Kalman filter. The estimated model parameters have been applied to define the continuous state-space model of the vibrating system, which in turn is discretized for the predictive controller. The model predictive control algorithm generates state predictions and dual-mode quadratic cost prediction matrices based on the updated discrete state-space models. The resulting cost function is then minimized using quadratic programming to find the sequence of optimal but constrained control inputs. The proposed active vibration control system is implemented and evaluated experimentally to investigate the viability of the control method.

The Design of Space Scanning Mirror Control System Based on Optimal Tracking Controller

2012 ◽  
Vol 546-547 ◽  
pp. 790-794
Author(s):  
Wen Bo Sui ◽  
Ke Fei Song ◽  
Pei Jie Zhang
Keyword(s):  
Control System ◽  
State Space ◽  
Pid Controller ◽  
Simulation Experiment ◽  
State Space Model ◽  
System State ◽  
Scanning Mirror ◽  
Optimal Tracking ◽  
Space Model ◽  
Tracking Controller

Control system of space scanning mirror has high requirement of scanning accuracy. The use of optimal tracking controller, instead of traditional PID controller, can effectively improve the scanning accuracy of space scanning mirror control system. State space model of the control system is established; the control system based on optimal tracking controller is designed; simulation experiment of the control system based on optimal tracking controller is carried out. The simulation result, in comparison with the system based on a PID controller, shows that the scanning mirror control system using optimal tracking controller instead of PID controller has higher scanning accuracy and faster response.

Optimal Control Deconvolution for Velocity Meter Signals

1988 ◽  
Vol 110 (1) ◽  
pp. 17-23
Author(s):  
P. M. Clarkson ◽  
J. K. Hammond
Keyword(s):  
Experimental Data ◽  
Optimal Control ◽  
State Space ◽  
State Space Model ◽  
The State ◽  
Measurement Noise ◽  
Deconvolution Method ◽  
System Parameters ◽  
Space Model ◽  
Inaccurate Estimation

A method of deconvolution has been developed which uses the techniques of optimal control. The application of the technique to velocity meter signals is presented. It is shown that provided a state-space model of the transducer dynamics can be obtained the method can provide effective deconvolution even when the data are corrupted by measurement noise. As well as the deconvolution method and the control of the measurement noise the formation of the state-space model and the effects of inaccurate estimation of system parameters are considered. Results are presented using both simulated and experimental data.

Research on Control System of Pump and Valve Parallel Connection

2010 ◽  
Vol 44-47 ◽  
pp. 1751-1757 ◽  
Author(s):  
Jing Luo ◽  
Chun Geng Sun ◽  
Peng Zhang ◽  
Sen Liu ◽  
Song Tao Wu
Keyword(s):  
Control System ◽  
State Space ◽  
State Space Model ◽  
The State ◽  
Parallel Connection ◽  
Space Model ◽  
Valve System ◽  
Simulation Results ◽  
Valve Control

This paper introduces the composition of pump and valve control system of parallel connection and the output flux of pump and valve is distributed optimally. Then, establish the state-space model of pump and valve system, the system is simulated by Simlink and AMESim software, the simulation results obtained.

Modal Analysis of a Motorcycle Motion During Braking for its Stabilization Control System Design

2013 ◽  
Author(s):  
Shintaroh Murakami ◽  
Hidekazu Nishimura
Keyword(s):  
Control System ◽  
Modal Analysis ◽  
State Space ◽  
State Space Model ◽  
State Space Models ◽  
Control System Design ◽  
Space Model ◽  
Stabilization Control ◽  
Mode Separation ◽  
Nonlinear State

In this paper, modal motion of a motorcycle during braking is analyzed to clarify influence of a stabilization control system designed to the modes. A thirteen degree-of-freedom nonlinear state-space model including rider’s motion is linearized around an equilibrium point of quasi-steady state straight running with constant deceleration, and the modal analysis is carried out using the linearized state-space models. Conducting mode separation and performing simulations utilizing the linearized state-space models, the behavior of the modes including capsize, weave, and wobble modes are analyzed. The characteristic of each mode is clarified from relationships among the impulsive responses of simulations and the eigenvectors obtained from eigenanalysis. Furthermore, the influence of a motorcycle stabilization control system to each mode is analyzed from simulation results.

scholarly journals Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement

2015 ◽  
Vol 2015 ◽  
pp. 1-13
Author(s):  
Jae-Seung Hwang ◽  
Hongjin Kim ◽  
Bong-Ho Cho
Keyword(s):  
Experimental Data ◽  
State Space ◽  
Shaking Table Test ◽  
State Space Model ◽  
Parameters Estimation ◽  
Shaking Table ◽  
Mode Shapes ◽  
Vibration Test ◽  
Space Model ◽  
Participation Factor

The load distribution to each mode of a structure under seismic loading depends on the modal participation factors and mode shapes and thus the exact estimation of modal participation factors and mode shapes is essential to analyze the seismic response of a structure. In this study, an identification procedure for modal participation factors and mode shapes from a vibration test is proposed. The modal participation factors and mode shapes are obtained from the relationship between observability matrices realized from the system identification. Using the observability matrices, it is possible to transform an arbitrarily identified state space model obtained from the experimental data into a state space model which is defined in a domain with physical meaning. Then, the modal participation factor can be estimated based on the transformation matrix between two state space models. The numerical simulation is performed to evaluate the proposed procedure, and the results show that the modal participation factor and mode shapes are estimated from the structural responses accurately. The procedure is also applied to the experimental data obtained from the shaking table test of a three-story shear building model.

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