An integrated electroactive polymer sensor–actuator: design, model-based control, and performance characterization

2016 ◽  
Vol 25 (3) ◽  
pp. 035016 ◽  
Author(s):  
A Hunt ◽  
Z Chen ◽  
X Tan ◽  
M Kruusmaa
Keyword(s):  
Design Model ◽  
Electroactive Polymer ◽  
Performance Characterization ◽  
Model Based Control ◽  
Sensor Actuator ◽  
Model Based ◽  
And Performance ◽  
Actuator Design

scholarly journals Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task

2020 ◽  
Vol 12 (1) ◽  
pp. 35-45
Author(s):  
Ahmad Reda ◽  
József Vásárhelyi
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
Autonomous Vehicle ◽  
Steering System ◽  
Model Based Control ◽  
Model Based ◽  
Common Control ◽  
Vehicle Path ◽  
And Performance ◽  
Robust Systems

AbstractDespite the advanced technologies used in recent years, the lack of robust systems still exists. The automated steering system is a critical and complex task in the domain of the autonomous vehicle’s applications. This paper is a part of project that deals with model-based control strategy as one of the most common control strategies. The main objective is to present the implementations of Model Predictive Control (MPC) for an autonomous vehicle steering system in regards to trajectory tracking application. The obtained results are analysed and the efficiency of the use of MPC controller were discussed based on its behaviour and performance.

Accessing the Performance of Model-Based Control in a Distributed Machine Tool Control Environment

2004 ◽  
Author(s):  
John L. Michaloski ◽  
Johannes A. Soons ◽  
Frederick M. Proctor
Keyword(s):  
Machine Tool ◽  
Cnc Machine Tools ◽  
Distributed Programming ◽  
Cnc Machine ◽  
Model Based Control ◽  
Model Based ◽  
Component Object ◽  
Machine Tool Accuracy ◽  
And Performance ◽  
Differential Expansion

Although Computerized Numerical Controller (CNC) machine tools have greatly improved precision, quality and productivity, there are still many areas where inaccuracies and inefficiencies remain. Model-Based Control (MBC) is a technique to advance machine tool accuracy and part quality by compensating for machine and process errors. Nominal Differential Expansion (NDE) thermal compensation is one MBC approach which we have integrated into a CNC turning machine testbed. To allow portability and redeployment of the CNC technology, the MBC testbed was implemented as a component-based system using a distributed programming infrastructure. This paper looks at software and performance issues related to distributed MBC architecture, which is slower due to increased overhead from network communication. We look at the requirements of distributed infrastructure as implemented by the Distributed Component Object Model (DCOM), and assess the performance of various DCOM configurations matching the MBC requirements. Results from our analysis of the distributed performance using MBC-based DCOM configurations are presented.

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