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Keywords: Kalman filters
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031005.
Published Online: March 24, 2011
... is proposed in this study. The algorithm is based on a crank-angle based engine combustion of that predicts the in-cylinder pressure from the definition of a burn rate function. The model is then adapted to model-based estimation by applying an extended Kalman filter in conjunction with a recursive least...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031006.
Published Online: March 24, 2011
... of the tires of an axle and the relaxation lengths are identified through an extended Kalman filter. Then the vertical loads and the slip angles at each tire are estimated. The results of these two steps are used as inputs to the last phase, where, the MF-Tyre model coefficients for each individual tire...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. March 2011, 133(2): 024505.
Published Online: March 9, 2011
... signal time delay still must be estimated. Using a Padé approximation and a Kalman filter, we can estimate the mean time delay. Furthermore, methods are described to estimate the time delay of every packet instead of the mean for the measurement channel, which greatly enhances the performance of the Padé...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 014507.
Published Online: December 22, 2010
...Guoliang Liu; Jian Xie; Shizuo Yan; Wenyi Qiang In this paper, to reduce the computation load of federated Kalman filters, a simplified federated filtering algorithm for integrated navigation systems is presented. It has been known that the per-cycle computation load grows roughly in proportion...
Journal Articles
Publisher: ASME
Article Type: Model Validation And Identification
J. Dyn. Sys., Meas., Control. November 2010, 132(6): 061404.
Published Online: November 9, 2010
... a new computational approach for parameter estimation based on the extended Kalman filter (EKF) and the polynomial chaos theory for parameter estimation. The error covariances needed by EKF are computed from polynomial chaos expansions, and the EKF is used to update the polynomial chaos representation...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Modeling Applications
J. Dyn. Sys., Meas., Control. November 2010, 132(6): 061503.
Published Online: October 29, 2010
... the dynamics of cells similar to the dynamics of distributed agents typically used in the field of swarm robotics. The method utilizes a fixed-interval Kalman filter based smoother. Its application results in a map giving the intensity and direction of the effective force field. The results show that real-time...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2010, 132(5): 051002.
Published Online: August 11, 2010
... in practice, they have not been fully considered in controller design. This paper investigates the input and output saturations, and presents how they may be considered in the controller design; a Kalman filter, a PID controller, and a disturbance observer are designed, taking input/output saturations...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2010, 132(4): 041009.
Published Online: June 17, 2010
... controllers are designed for the three stator rigid body degrees of freedom based on the linear portions of their respective equations of motion. The force and moments generated within the gas film are estimated using Kalman filter-based estimators and directly cancelled in the control algorithm using offset...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2009, 131(5): 051002.
Published Online: August 17, 2009
.... The present work details the development of a centralized linear quadratic regulator (LQR) including state estimation via Kalman filtering. The controller is augmented by local turbine speed control and integral system power control. Relative gain array analysis has indicated that independent control loops...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. July 2009, 131(4): 044502.
Published Online: May 18, 2009
...Cheol W. Lee Asynchronous measurement of process output characterizes a series of discrete process cycles in batch production. A multirate Kalman filtering scheme was proposed by Lee (2008, “Estimation Strategy for a Series of Grinding Cycles in Batch Production,” IEEE Trans. Contr. Syst. Technol...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2009, 131(3): 031001.
Published Online: March 19, 2009
... of immeasurable states is achieved using a Kalman filter. It is shown that when operating in a highly nonlinear regime and as the frequency increases, significant performance enhancements are achieved relative to conventional proportional-integral control. control system synthesis feedback intelligent...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2009, 131(2): 021010.
Published Online: February 5, 2009
... flexibility of gear mechanisms, and so on. Direct measurement of the end-effector using the vision sensor is considered as a solution but its performance is often limited by the slow sampling rate and the latency. To overcome these limitations, this paper extends the basic idea of the kinematic Kalman filter...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2009, 131(2): 021004.
Published Online: February 4, 2009
... are integrated in the range domain for optimal navigation performance. Nonlinear laser observations and time-correlated code and carrier-phase GPS signals are processed in a unified and compact measurement-differencing extended Kalman filter. The resulting algorithm performs real-time carrier-phase cycle...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2009, 131(1): 011010.
Published Online: December 8, 2008
... of modeling uncertainties in the controller development. The control law is developed assuming only positions are available for measurement. The unmeasured states, which include velocities and SMA temperatures and stresses, are estimated using an extended Kalman filter based on the nonlinear system model...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2008, 130(5): 051007.
Published Online: August 4, 2008
..., the concept of feedback linearization is employed to convert the nonlinear system into a linear canonical form, and the analysis of the stability caused by the model’s uncertainty is also discussed. Finally, an acceleration feedback linearization controller and a Kalman filter are introduced. They adopt...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2008, 130(5): 051001.
Published Online: July 29, 2008
...Haojiong Zhang; Robert G. Landers; Brad A. Miller A method using reduced-order Kalman filters is developed to estimate the thin gas film axial force and moments in real time for mechanical gas face seal systems in a flexibly mounted stator configuration. First-order Gauss–Markov stochastic models...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 568–576.
Published Online: November 1, 2005
... is designed using Kalman filter based state feedback control techniques. A simple dual-stage track-following controller is designed, based on the damped actuator model, using the sensitivity function decoupling design method. Simulation and experimental results are presented to demonstrate the benefits...
Journal Articles
Publisher: ASME
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 860–864.
Published Online: March 11, 2005
...-time algebraic Riccati equations and by implementing the pure-slow and pure-fast reduced-order Kalman filters. In order to show the effectiveness of the proposed method, we present the numerical result for a one-link flexible robot arm. Contributed by the Dynamic Systems, Measurement, and Control...