Modeling and H2/H∞ MIMO Control of an Earthmoving Vehicle Powertrain

2002 ◽  
Vol 124 (4) ◽  
pp. 625-636 ◽  
Author(s):  
Rong Zhang ◽  
Andrew Alleyne ◽  
Eko Prasetiawan
Keyword(s):  
Power Distribution ◽  
Controller Design ◽  
Operating Conditions ◽  
Robust Controller ◽  
Modeling And Control ◽  
Linearized Model ◽  
The Time Domain ◽  
Representative System ◽  
And Control ◽  
Vehicle Powertrain

Coordination of the power distribution in a Multi-Input Multi-Output (MIMO) electro-hydraulic transmission is investigated for the case of an earthmoving vehicle powertrain. A generalized model of a representative system is presented along with the development of both H2 and H∞ MIMO controller designs. The controllers are developed based on a linearized model of the system about some nominal operating point. Multiple inputs are coordinated to control multiple load outputs simultaneously. Since typical MIMO electrohydraulic transmission systems have significant nonlinear dynamics that vary with system operating conditions, a robust controller design is paramount. The increased robustness of the H∞ controller over the H2 scheme is demonstrated qualitatively in the time domain through both disturbance rejection and trajectory tracking comparisons. A frequency domain criterion quantitatively provides quantifiable comparisons between the two methods. Hardware-in-the-Loop experiments validate the modeling and control performance on an Earthmoving Vehicle Powertrain Simulator (EVPS).

Modeling and Multivariable Control of an Earthmoving Vehicle Powertrain

2001 ◽  
Author(s):  
Rong Zhang ◽  
Eko A. Prasetiawan ◽  
Andrew G. Alleyne
Keyword(s):  
Power Distribution ◽  
Controller Design ◽  
Operating Conditions ◽  
Robust Controller ◽  
Modeling And Control ◽  
Linearized Model ◽  
The Time Domain ◽  
Representative System ◽  
And Control ◽  
Vehicle Powertrain

Abstract Coordination of the power distribution in a Multi-Input Multi-Output (MIMO) electrohydraulic transmission is investigated for the case of an earthmoving vehicle powertrain. A generalized model of a representative system is presented along with the development of both H2 and H∞ MIMO controller designs. The controllers are developed based on a linearized model of the system about some nominal operating point Multiple inputs are coordinated to control multiple load outputs simultaneously. Since typical MIMO electrohydraulic transmission systems have significant nonlinear dynamics that vary with system operating conditions, a robust controller design is paramount The increased robustness of the H∞ controller over the H2 scheme is demonstrated qualitatively in the time domain through both disturbance rejection and trajectory tracking comparisons. A frequency domain criterion quantitatively provides quantifiable comparisons between the two methods. Hardware-in-the-Loop experiments validate the modeling and control performance on an Earthmoving Vehicle Powertrain Simulator (EVPS).

Modeling and Control of an Ejector Based Anode Recirculation System for Fuel Cells

2005 ◽  
Author(s):  
Amey Y. Karnik ◽  
Jing Sun
Keyword(s):  
Controller Design ◽  
Design Guidelines ◽  
Operating Conditions ◽  
Feedback Controller ◽  
Modeling And Control ◽  
Recirculation Flow ◽  
Dynamic Representation ◽  
Recirculation System ◽  
Proportional Integral Controller ◽  
And Control

A control oriented analysis of an anode recirculation system that uses an ejector with a variable throat area is presented for a PEMFC system. Two control issues addressed in this paper are (a) achieving desired recirculated flow to meet humidity control requirements, and (b) regulating anode pressure to protect the polymer membrane from deformation. To meet these objectives, a static feedforward controller using the variable throat area is applied to control the recirculation flow rate, while a proportional-integral controller is designed for anode pressure regulation. A dynamic system model comprising of a nonlinear static characterization of the ejector and dynamic representation of the anode recirculation flow path is developed for controller design and evaluation. Linear analysis is used to derive design guidelines for tuning the feedback controller and to analyze the interactions between the feedback and the feedforward controllers. Our analysis shows that the system characteristics are dependent on the operating condition of throat area of ejector. To meet the control objectives for different operating conditions, a gain scheduling scheme is proposed to adjust the feedback controller parameters and the performance is evaluated through simulations. Results for two representative conditions are included.

Robust Controller Design for Active Suspension Systems of Road Vehicles

2017 ◽  
Author(s):  
Shenjin Zhu ◽  
Yuping He
Keyword(s):  
Controller Design ◽  
Operating Conditions ◽  
Ride Quality ◽  
Vehicle Model ◽  
Linear Quadratic ◽  
Robust Controller ◽  
Baseline Design ◽  
Vehicle Suspensions ◽  
Suspension Systems ◽  
Active Suspension Systems

The Linear Quadratic Gaussian (LQG) technique has been applied to the design of active vehicle suspensions (AVSs) for improving ride quality and handling performance. LQG-based AVSs have achieved good performance if an accurate vehicle model is available. However, these AVSs exhibit poor robustness when the vehicle model is not accurate and vehicle operating conditions vary. The H∞ control theory, rooted in the LQG technique, specifically targets on robustness issues on models with parametric uncertainties and un-modelled dynamics. In this research, an AVS is designed using the H∞ loop-shaping control, design optimization, and parallel computing techniques. The resulting AVS is compared against the baseline design through numerical simulations.

Dynamic modeling and control design for a parallel-mechanism-based meso-milling machine tool

Robotica ◽  
2013 ◽  
Vol 32 (4) ◽  
pp. 515-532 ◽  
Author(s):  
Adam Y. Le ◽  
James K. Mills ◽  
Beno Benhabib
Keyword(s):  
Machine Tool ◽  
Dynamic Modeling ◽  
Design Methodology ◽  
Controller Design ◽  
Convex Combination ◽  
Control Design ◽  
Milling Machine ◽  
Modeling And Control ◽  
Kinematic Mechanisms ◽  
And Control

SUMMARYA novel rigid-body control design methodology for 6-degree-of-freedom (dof) parallel kinematic mechanisms (PKMs) is proposed. The synchronous control of PKM joints is addressed through a novel formulation of contour and lag errors. Robust performance as a control specification is addressed. A convex combination controller design approach is applied to address the problem of simultaneously satisfying multiple closed-loop specifications. The applied dynamic modeling approach allows the design methodology to be extended to 6-dof spatial PKMs. The methodology is applied to the design of a 6-dof PKM-based meso-milling machine tool and simulations are conducted.

Modeling and Control of Interconnected Dimensionless Dynamic Systems

2009 ◽  
Author(s):  
Scott Manwaring ◽  
Andrew Alleyne
Keyword(s):  
Dimensional Analysis ◽  
Dynamic Systems ◽  
Controller Design ◽  
Fluid Power ◽  
Modeling And Control ◽  
Initial Investigation ◽  
And Control ◽  
Insight Into ◽  
Original Dynamic

Previous work has found benefit in using dimensional analysis in the modeling and control of dynamic systems. What has not been explored is how multiple dimensionless dynamic systems would interconnect and interact with one another. This work presents an initial investigation into the interconnection of dimensionless dynamic systems, including an analysis of the differences between interconnecting dimensioned and dimensionless systems. A strategy is developed to interconnect dimensionless dynamic systems and explored using models of multiple fluid power components. The interconnection strategy is tested through controller design and simulation, which reveals insight into the dimensionless transformation of the original dynamic systems.

Modeling and Control Strategy of Series Hybrid Electric Vehicles

2014 ◽  
Vol 543-547 ◽  
pp. 1246-1249
Author(s):  
Liang Zhang ◽  
Bin Jiao ◽  
Lei Li
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Power Distribution ◽  
Hybrid Electric Vehicles ◽  
System Structure ◽  
Modeling And Control ◽  
Powertrain Control ◽  
Hybrid Electric ◽  
And Control ◽  
Made In

The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.

Robust Controller Design for Satellite Attitude Determination, Stabilization and Control Using LQG/LTR

2015 ◽  
Vol 85 (2) ◽  
pp. 329-344 ◽  
Author(s):  
Bilal A. Alvi ◽  
Muhammad Asif ◽  
Fahad A. Siddiqui ◽  
Amber Israr ◽  
M. Shujaat Kamal ◽  
...  
Keyword(s):  
Attitude Determination ◽  
Controller Design ◽  
Robust Controller ◽  
Satellite Attitude ◽  
And Control ◽  
Robust Controller Design

Instantaneous Center of Rotation-Based Master-Slave Kinematic Modeling and Control

2019 ◽  
Author(s):  
Vikram Ramanathan ◽  
Andy Zelenak ◽  
Mitch Pryor
Keyword(s):  
Feedback Linearization ◽  
Controller Design ◽  
Kinematic Model ◽  
Nonholonomic Constraints ◽  
Kinematic Modeling ◽  
Nonlinear Controller ◽  
Center Of Rotation ◽  
Modeling And Control ◽  
Instantaneous Center ◽  
And Control

Abstract This article presents a novel kinematic model and controller design for a mobile robot with four Centered Orientable Conventional (COC) wheels. When compared to non-conventional wheels, COC wheels perform better over rough terrain, are not subject to vertical chatter and offer better braking capability. However, COC wheels are pseudo-omnidirectional and subject to nonholonomic constraints. Several established modeling and control techniques define and control the Instantaneous Center of Rotation (ICR); however, this method involves singular configurations that are not trivial to eliminate. The proposed method uses a novel ICR-based kinematic model to avoid these singularities, and an ICR-based nonlinear controller for one ‘master’ wheel. The other ‘slave’ wheels simply track the resulting kinematic relationships between the ‘master’ wheel and the ICR. Thus, the nonlinear control problem is reduced from 12th to 3rd-order, becoming much more tractable. Simulations with a feedback linearization controller verify the approach.

scholarly journals Modeling of Autonomous Underwater Vehicles with Multi-Propellers Based on Maximum Likelihood Method

2020 ◽  
Vol 8 (6) ◽  
pp. 407
Author(s):  
Feiyan Min ◽  
Guoliang Pan ◽  
Xuefeng Xu
Keyword(s):  
Maximum Likelihood ◽  
Controller Design ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Likelihood Method ◽  
Hydrodynamic Characteristics ◽  
Identification Algorithm ◽  
Modeling And Control ◽  
Good Convergence ◽  
And Control

The hydrodynamic characteristics of multi-propeller autonomous underwater vehicles (AUV) is usually complicated and it is difficult to obtain an accurate mathematical model. A modeling method based on CFD calculation and maximum likelihood identification algorithm is proposed for this problem. Firstly, rough hydrodynamic parameters of AUV hull are obtained by CFD calculation. Secondly, on the basis of rough parameters, a maximum likelihood identification algorithm is proposed to adjust the parameters and improve the model precision. Besides, the method to improve the convergence of identification algorithm is analyzed by considering the characteristics of AUV model structure. Finally, the identification algorithm and identification results were validated with experimental data. It was found that this method has good convergence and adaptability. In particular, the identification results of turning force and torque parameters are highly consistent in different identification experiments, which indicates that this method can well extract the maneuvering characteristics of AUVs, thus contributing to the controller design of AUVs. The research of this paper has potential application for the modeling and control of multi-propeller AUVs.

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