A Comparison Between Model-Based and Data-Driven Design of an Active Stability Control System for Two-Wheeled Vehicles

2011 ◽  
Author(s):  
Pierpaolo De Filippi ◽  
Simone Formentin ◽  
Sergio M. Savaresi
Keyword(s):  
Control System ◽  
Strong Interaction ◽  
High Speed ◽  
Stability Control ◽  
Data Driven ◽  
Output Controller ◽  
Model Based ◽  
Data Driven Approach ◽  
Stability Control System ◽  
Wheeled Vehicles

The design of an active stability control system for two-wheeled vehicles is a fully open problem and it constitutes a challenging task due to the complexity of two-wheeled vehicles dynamics and the strong interaction between the vehicle and the driver. This paper describes and compares two different methods, a model-based and a data-driven approach, to tune a Multi-Input-Multi-Output controller which allows to enhance the safety while guaranteeing a good driving feeling. The two strategies are tested on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed.

Implementation of Trailer Steering Control on a Multi-Unit Vehicle at High Speeds

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
Richard Roebuck ◽  
Andrew Odhams ◽  
Kristoffer Tagesson ◽  
Caizhen Cheng ◽  
David Cebon
Keyword(s):  
Control System ◽  
High Speed ◽  
Tracking Error ◽  
Path Following ◽  
Stability Control ◽  
Substantial Improvement ◽  
Lateral Acceleration ◽  
Steering Control ◽  
Stability Margins ◽  
Stability Control System

A high-speed path-following controller for long combination vehicles (LCVs) was designed and implemented on a test vehicle consisting of a rigid truck towing a dolly and a semitrailer. The vehicle was driven through a 3.5 m wide lane change maneuver at 80 km/h. The axles of the dolly and trailer were steered actively by electrically-controlled hydraulic actuators. Substantial performance benefits were recorded compared with the unsteered vehicle. For the best controller weightings, performance improvements relative to unsteered case were: lateral tracking error 75% reduction, rearward amplification (RA) of lateral acceleration 18% reduction, and RA of yaw rate 37% reduction. This represents a substantial improvement in stability margins. The system was found to work well in conjunction with the braking-based stability control system of the towing vehicle with no negative interaction effects being observed. In all cases, the stability control system and the steering system improved the yaw stability of the combination.

Development of Trunk Transmission Online Integrated Stability Control System (ISC) for New Generation Grid

2017 ◽  
Vol 137 (6) ◽  
pp. 434-445 ◽  
Author(s):  
Hiroshi Yoshida ◽  
Ryuji Tachi ◽  
Koya Takafuji ◽  
Hironori Imaeda ◽  
Masaru Takeishi ◽  
...  
Keyword(s):  
Control System ◽  
Stability Control ◽  
Stability Control System ◽  
New Generation

Development of On-line Integrated Stability Control System (ISC) for Long-distance Bulk Power Transmission

2013 ◽  
Vol 133 (4) ◽  
pp. 313-323 ◽  
Author(s):  
Kuniaki Anzai ◽  
Kimihiko Shimomura ◽  
Soshi Yoshiyama ◽  
Hiroyuki Taguchi ◽  
Masaru Takeishi ◽  
...  
Keyword(s):  
Control System ◽  
Power Transmission ◽  
Stability Control ◽  
Long Distance ◽  
Stability Control System ◽  
On Line ◽  
Bulk Power

scholarly journals A DATA-DRIVEN APPROACH TO USER-EXPERIENCE-FOCUSED MODEL-BASED ROADMAPPING FOR NEW PRODUCT PLANNING

2021 ◽  
Vol 1 ◽  
pp. 61-70
Author(s):  
Ilia Iuskevich ◽  
Andreas-Makoto Hein ◽  
Kahina Amokrane-Ferka ◽  
Abdelkrim Doufene ◽  
Marija Jankovic
Keyword(s):  
New Product Development ◽  
User Experience ◽  
Planning Process ◽  
New Product ◽  
Data Driven ◽  
User Needs ◽  
User Testing ◽  
Model Based ◽  
Data Driven Approach ◽  
To Receive

AbstractUser experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.

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