scholarly journals The effects of tire dynamics on the performance of finite spectrum assignment of vehicle motion control

2020 ◽  
pp. 107754632097116
Author(s):  
Illés Vörös ◽  
Balázs Várszegi ◽  
Dénes Takács
Keyword(s):  
Predictive Model ◽  
Position Control ◽  
Current System ◽  
Lateral Position ◽  
Control Performance ◽  
Finite Spectrum ◽  
Detailed Model ◽  
Spectrum Assignment ◽  
Control Approach ◽  
Tire Dynamics

The lateral position control of the vehicle is analyzed in the presence of time delay. To compensate the negative effects of dead time, the predictor control approach called finite spectrum assignment is applied. This controller includes a linear model of the plant and uses the solution of this model over the delay interval to predict the current system states. The focus of the article is whether to include tire dynamics in the predictive model of the controller. Although the more detailed model should improve control performance, the additional parameters (e.g., tire stiffnesses and yaw moment of inertia) are difficult to determine accurately. The effects of parameter mismatches are analyzed in detail, and recommendations are given to ensure safe control of the vehicle. It is shown that the inclusion of tire dynamics in the predictive model vastly improves control performance even in the presence of large parameter errors, but in certain cases, the inaccuracies may lead to instability.

scholarly journals Lane Keeping Control Using Finite Spectrum Assignment With Modeling Errors

2019 ◽  
Author(s):  
Illés Vörös ◽  
Balázs Várszegi ◽  
Dénes Takács
Keyword(s):  
Time Delay ◽  
Current System ◽  
Vehicle Model ◽  
Finite Spectrum ◽  
Spectrum Assignment ◽  
Control Approach ◽  
Stability Maps ◽  
Tire Dynamics ◽  
System States ◽  
Lane Keeping

Abstract Lane keeping control of the single track vehicle model with linear tire characteristics is analyzed in the presence of time delay. In order to compensate time delay, the predictor control approach called finite spectrum assignment is applied. This controller uses an internal model of the plant to predict current system states in spite of the time delay. The predictions are based on a simplified version of the vehicle model, neglecting tire dynamics. The predictive control approach is compared with traditional feedback control using analytically derived stability maps and numerical simulations. Robustness to parameter mismatches and numerical issues related to the implementation of the control law are also analyzed.

Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control

2004 ◽  
Vol 8 (3) ◽  
pp. 324-331
Author(s):  
Dong Sun ◽  
◽  
Y. X. Su ◽  
James K. Mills ◽  
Keyword(s):  
Position Control ◽  
Robot Manipulators ◽  
Pd Controller ◽  
Control Performance ◽  
Direct Drive ◽  
Control Approach ◽  
Single Link ◽  
Nonlinear Tracking ◽  
Control Methodology ◽  
Fuzzy Pd

A position control approach for direct-drive robot manipulators with permanent magnet AC (PMAC) motors is proposed. The conventional vector control architecture has been simplified by specifying the motor stator phase so that the rotating d-axis current is zero. The position control is designed to be an enhanced fuzzy PD controller, by incorporating two nonlinear tracking differentiators into a conventional fuzzy PD controller. The proposed control methodology is easy to implement, and exhibits better control performance than conventional control methods. Experiments conducted on a single-link manipulator directly driven by a PMAC motor demonstrate the validity of the proposed approach.

Adaptive Control of Harmonic Drives

2006 ◽  
Vol 129 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Wen-Hong Zhu ◽  
Erick Dupuis ◽  
Michel Doyon
Keyword(s):  
Adaptive Control ◽  
Position Control ◽  
Robot Manipulator ◽  
Adaptive Controller ◽  
Torque Control ◽  
Joint Torque ◽  
Control Performance ◽  
Control Approach ◽  
Control Interface ◽  
Adaptive Control Algorithm

Aimed at achieving ultrahigh control performance for high-end applications of harmonic drives, an adaptive control algorithm using additional sensing, namely, the joint and motor positions and the joint torque, and their practically available time derivatives, is proposed. The proposed adaptive controller compensates the large friction associated with harmonic drives, while incorporating the dynamics of flexspline. The L2∕L∞ stability and the L2 gain-induced H∞ stability are guaranteed in both joint torque and joint position control modes. Conditions for achieving asymptotic stability are also given. The proposed joint controller can be efficiently incorporated into any robot motion control system based on either its torque control interface or the virtual decomposition control approach. Experimental results demonstrated in both the time and frequency domains confirm the superior control performance achieved not only in individual joint motion, but also in coordinated motion of an entire robot manipulator.

scholarly journals A New Torque Distribution Control for Four-Wheel Independent-Drive Electric Vehicles

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 122
Author(s):  
Dejun Yin ◽  
Junjie Wang ◽  
Jinjian Du ◽  
Gang Chen ◽  
Jia-Sheng Hu
Keyword(s):  
Electric Vehicles ◽  
Vehicle Stability ◽  
Hardware In The Loop ◽  
Control Performance ◽  
Torque Distribution ◽  
Handling Performance ◽  
Control Approach ◽  
Tire Forces ◽  
Yaw Moment ◽  
New Distribution

Torque distribution control is a key technique for four-wheel independent-drive electric vehicles because it significantly affects vehicle stability and handling performance, especially under extreme driving conditions. This paper, which focuses on the global yaw moment generated by both the longitudinal and the lateral tire forces, proposes a new distribution control to allocate driving torques to four-wheel motors. The proposed objective function not only minimizes the longitudinal tire usage, but also make increased use of each tire to generate yaw moment and achieve a quicker yaw response. By analysis and a comparison with prior torque distribution control, the proposed control approach is shown to have better control performance in hardware-in-the-loop simulations.

Stiffness Control of Parallel Continuum Robots

2018 ◽  
Author(s):  
Vincent Aloi ◽  
Caroline Black ◽  
Caleb Rucker
Keyword(s):  
Position Control ◽  
Target Position ◽  
Human Robot Interaction ◽  
Force Measurements ◽  
Modeling Framework ◽  
Continuum Robots ◽  
Integral Control ◽  
Control Approach ◽  
Cosserat Rods ◽  
Stiffness Control

Parallel continuum robots can provide compact, compliant manipulation of tools in robotic surgery and larger-scale human robot interaction. In this paper we address stiffness control of parallel continuum robots using a general nonlinear kinetostatic modeling framework based on Cosserat rods. We use a model formulation that estimates the applied end-effector force and pose using actuator force measurements. An integral control approach then modifies the commanded target position based on the desired stiffness behavior and the estimated force and position. We then use low-level position control of the actuators to achieve the modified target position. Experimental results show that after calibration of a single model parameter, the proposed approach achieves accurate stiffness control in various directions and poses.

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