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.

A Nonlinear State-Space Model of Diesel Propulsion Plant Operation Using Neural Nets

2001 ◽  
Vol 34 (7) ◽  
pp. 131-136
Author(s):  
Nikolaos I. Xiros ◽  
Nikolaos P. Kyrtatos
Keyword(s):  
State Space ◽  
State Space Model ◽  
Neural Nets ◽  
Plant Operation ◽  
Space Model ◽  
Nonlinear State

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 nonlinear state space model

2012 ◽  
pp. 146-168
Author(s):  
Sean Meyn ◽  
Richard L. Tweedie ◽  
Peter W. Glynn
Keyword(s):  
State Space ◽  
State Space Model ◽  
Space Model ◽  
Nonlinear State

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 Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics

2018 ◽  
Vol 51 (15) ◽  
pp. 497-502
Author(s):  
Rishi Relan ◽  
Koen Tiels ◽  
Jean-Marc Timmermans ◽  
Johan Schoukens
Keyword(s):  
State Space ◽  
State Space Model ◽  
Short Term ◽  
Space Model ◽  
Single Output ◽  
Multiple Input ◽  
Li Ion ◽  
Nonlinear State

scholarly journals Evaluation of methods for spawner–recruit analysis in mixed-stock Pacific salmon fisheries

2020 ◽  
Vol 77 (7) ◽  
pp. 1149-1162 ◽  
Author(s):  
Benjamin A. Staton ◽  
Matthew J. Catalano ◽  
Brendan M. Connors ◽  
Lewis G. Coggins ◽  
Michael L. Jones ◽  
...  
Keyword(s):  
State Space ◽  
Oncorhynchus Tshawytscha ◽  
Pacific Salmon ◽  
State Space Model ◽  
Reference Points ◽  
State Space Models ◽  
Space Model ◽  
Trade Offs ◽  
Salmon Fisheries ◽  
Mixed Stock

Salmon populations harvested in mixed-stock fisheries can exhibit genotypic, behavioral, and life history diversity that can lead to heterogeneity in population productivity and size. Methods to quantify this heterogeneity among populations in mixed-stock fisheries are not well-established but are critical to assessing harvest–biodiversity trade-offs when setting harvest policies. We developed an integrated, age-structured, state-space model that allows for more complete use of available data and sharing of information than simpler methods. We compared a suite of state-space models of varying structural complexity to simpler regression-based approaches and, as an example case, fitted them to data from 13 Chinook salmon (Oncorhynchus tshawytscha) populations in the Kuskokwim drainage in western Alaska. We found biological and policy conclusions were largely consistent among state-space models but differed strongly from regression-based approaches. Simulation trials illustrated our state-space models were largely unbiased with respect to spawner–recruit parameters, abundance states, and derived biological reference points, whereas the regression-based approaches showed substantial bias. These findings suggest our state-space model shows promise for informing harvest policy evaluations of harvest–biodiversity trade-offs in mixed-stock salmon fisheries.

scholarly journals Specification of initial Kalman recursions of symmetric nonlinear state-space model

Heliyon ◽  
2020 ◽  
Vol 6 (10) ◽  
pp. e05152
Author(s):  
M. Tasi'u ◽  
H.G. Dikko ◽  
O.I. Shittu ◽  
I.A. Fulatan
Keyword(s):  
State Space ◽  
State Space Model ◽  
Space Model ◽  
Nonlinear State
Sign in / Sign up

Export Citation Format

Share Document