Ride comfort control system considering driver's psychological state: fundamental consideration on estimating method using biological measurement

2020 ◽  
Vol 2020.15 (0) ◽  
pp. 10097
Author(s):  
Takahiro OTA ◽  
Ryosuke MINOWA ◽  
Keigo IKEDA ◽  
Ayato ENDO ◽  
Hideaki KATO ◽  
...  
Keyword(s):  
Control System ◽  
Ride Comfort ◽  
Psychological State ◽  
Biological Measurement ◽  
Fundamental Consideration

A basic study on influence of jerk on riding comfort using active seat suspension for ultra-compact mobility

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1505-1513
Author(s):  
Keigo Ikeda ◽  
Ayato Endo ◽  
Ryosuke Minowa ◽  
Hideaki Kato ◽  
Takayoshi Narita
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Automobile Industry ◽  
Research Group ◽  
Ride Comfort ◽  
Voice Coil Motor ◽  
Psychological State ◽  
Basic Study ◽  
Seat Suspension ◽  
Low Weight

In the current automobile industry, the demand for ultra-compact vehicles as a means of transportation for elderly people and other travelers, has been increasing. The effect of vibration on the ride comfort of these vehicles is significant because of their small size and low weight. The vibration will increase the discomfort perceived by persons in the vehicle. Therefore, it is necessary to develop a vibration control system for safe and comfortable driving. To improve ride comfort, this research group proposed an active seat suspension using a voice coil motor at the seat section of the vehicle. In this study, the influence of jerk on the psychological state, which was obtained from bioinstrumentation, was investigated.

Ride Comfort Control System Considering Driver’s Psychological State

2019 ◽  
Vol 2019 (0) ◽  
pp. S23106P
Author(s):  
Keigo IKEDA ◽  
Ryousuke MINOWA ◽  
Ayato ENDO ◽  
Hideaki KATO ◽  
Takayoshi NARITA
Keyword(s):  
Control System ◽  
Ride Comfort ◽  
Psychological State

Ride comfort control system using driver’s psychological state: Experimental consideration on heart rate variability

2019 ◽  
Vol 59 (3) ◽  
pp. 977-984
Author(s):  
Ayato Endo ◽  
Keigo Ikeda ◽  
Masahiro Mashino ◽  
Hideaki Kato ◽  
Takayoshi Narita ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Control System ◽  
Ride Comfort ◽  
Psychological State

scholarly journals Proposal of ride comfort control system by psychological state estimation of the driver

2015 ◽  
Vol 81 (832) ◽  
pp. 15-00356-15-00356 ◽  
Author(s):  
Hideaki KATO ◽  
Masaki ISHIDA ◽  
Masahiro MASHINO ◽  
Takayoshi NARITA
Keyword(s):  
Control System ◽  
State Estimation ◽  
Ride Comfort ◽  
Psychological State

scholarly journals Ride Comfort Control System Considering Physiological and Psychological Characteristics: Effect of Masking on Vertical Vibration on Passengers

Actuators ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 42 ◽  
Author(s):  
Keigo Ikeda ◽  
Ayato Endo ◽  
Ryosuke Minowa ◽  
Takayoshi Narita ◽  
Hideaki Kato
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ride Comfort ◽  
Control Method ◽  
Vertical Vibration ◽  
Psychological Characteristics ◽  
Psychological State ◽  
Vibration Acceleration ◽  
Seat Suspension ◽  
Vibration Stress

Active seat suspension has been proposed to improve ride comfort for ultra-compact mobility. Regarding the ride comfort of passengers due to vertical vibration, the authors have confirmed from biometry measurements that reduction of the vibration acceleration does not always produce the best ride comfort for passengers. Therefore, heart rate variability that can quantitatively reflect stress is measured in real time, and a control method was proposed that feeds back to active suspension and confirms its effectiveness by fundamental verification. In this paper, we will confirm the influence of the vibration stress on the psychological state of the occupant by the masking method.

Control Bifurcations in a Nonlinear Active Suspension System for System Design

2005 ◽  
Author(s):  
Amit Shukla ◽  
Jeong Hoi Koo
Keyword(s):  
Control System ◽  
Ride Comfort ◽  
Active Suspension ◽  
Nonlinear Damping ◽  
Suspension System ◽  
Suspension Systems ◽  
System A ◽  
Controlled Systems ◽  
Automotive Suspension ◽  
Magneto Rheological

Nonlinear active suspension systems are very popular in the automotive applications. They include nonlinear stiffness and nonlinear damping elements. One of the types of damping element is a magneto-rheological fluid based damper which is receiving increased attention in the applications to the automotive suspension systems. Latest trends in suspension systems also include electronically controlled systems which provide advanced system performance and integration with various processes to improve vehicle ride comfort, handling and stability. A control bifurcation of a nonlinear system typically occurs when its linear approximation loses stabilizability. These control bifurcations are different from the classical bifurcation where qualitative stability of the equilibrium point changes. Any nonlinear control system can also exhibit control bifurcations. In this paper, control bifurcations of the nonlinear active suspension system, modeled as a two degree of freedom system, are analyzed. It is shown that the system looses stability via Hopf bifurcation. Parametric control bifurcation analysis is conducted and results presented to highlight the significance of the design of control system for nonlinear active suspension system. A framework for the design of feedback using the parametric analysis for the control bifurcations is proposed and illustrated for the nonlinear active suspension system.

The Research of Automobile Automatic Stabilizer Bar Control System and Test Platform

2012 ◽  
Vol 591-593 ◽  
pp. 1289-1294
Author(s):  
Han Zhao ◽  
Hao Sun ◽  
Yong Kai Feng ◽  
Wei Xia Zhang
Keyword(s):  
Control System ◽  
Physical Simulation ◽  
Ride Comfort ◽  
Lateral Acceleration ◽  
Displacement Sensor ◽  
Angle Sensor ◽  
Laboratory Environment ◽  
Automatic Stabilizer ◽  
Test Platform ◽  
Executive Mechanism

In connection with the problems that the automobile passive stabilizer bar can’t reflect the road conditions in real time and it is difficult to simultaneously meet the requirements of ride comfort and manipulation stability, this paper describes a kind of control system and test platform of the automobile automatic stabilizer bar. The control system uses speed sensor, steering angle sensor, roll angle sensor, lateral acceleration sensor and displacement sensor to simulate a variety of vehicle’s real driving conditions in the laboratory environment. According to the formulated control strategy, the microcontroller will send different instructions to make the executive mechanism act reasonably and in time. Then the test platform is established in the laboratory environment by the method of semi-physical simulation. The system can be designed according to the different needs of the vehicle and ensures the vehicle’s safety and comfort to the maximum.

Optimal design for robust control parameter for active roll control system: a fuzzy approach

2017 ◽  
Vol 24 (19) ◽  
pp. 4575-4591 ◽  
Author(s):  
Hao Sun ◽  
Ye-Hwa Chen ◽  
Han Zhao ◽  
Shengchao Zhen
Keyword(s):  
Control System ◽  
Robust Control ◽  
Optimal Design ◽  
Ride Comfort ◽  
Initial Conditions ◽  
Dynamic Performance ◽  
Control Design ◽  
Uniform Boundedness ◽  
Roll Control ◽  
Active Roll Control

In this paper, we investigate the dynamical model of an active roll control system (ARCS) which can impose an anti-roll moment quickly by active actuators to prevent a vehicle rolling when the vehicle generates the roll tendency and effectively enhances the vehicle dynamic performance without sacrificing ride comfort. In the dynamic model of the ARCS, we consider the sprung mass of the vehicle which is (possibly) time-varying and the initial conditions are the uncertain parameters which are described by fuzzy set theory. A new optimal robust control which is deterministic and is not the usual if–then rules-based control is proposed. The desired controlled system performance is twofold: one deterministic, which includes uniform boundedness and uniform ultimate boundedness, and one fuzzy, which enhances the cost consideration. We then formulate an optimal design problem associated with the control as a constrained optimization problem. The resulting control design is systematic and is able to guarantee the deterministic performance and minimize the average fuzzy performance. Numerical simulations show that the control design renders the ARCS practically stable and achieves constraints following maneuvering.

Fuzzy Control of Tracked Vehicle’s Semi-Active Suspension System Based on LMS

2014 ◽  
Vol 602-605 ◽  
pp. 1313-1316 ◽  
Author(s):  
Xiao Dong Gao ◽  
Liang Gu ◽  
Ji Fu Guan ◽  
Jun Feng Gao
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Adaptive Control System ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Change Rate ◽  
Set Up

A half tracked vehicle model was established based on LMS, a co-simulation interface between control algorithm of MATLAB and physical model of LMS was set up. Fuzzy controller with PID regulator was proposed to achieve controlling strategy based on half tracked vehicle model. With suspension stroke and its change rate as input parameters of fuzzy controller, the dynamic adjusting parameters of PID controller are acquired through fuzzy controller, then a semi-active suspension vehicle adaptive control system was formed. The simulation result shows that the adaptive control system can effectively coordinate the contradiction acceleration and dynamic travel in different bands, the ride comfort tracked vehicle is significantly improved.

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