This paper presents the development and comparison of artificial neural network (ANN) models for real time optimization (RTO). Initial investigations were focused on a methanol-water flash system, which was simple, yet realistic in representing the nonlinearity of multivariable chemical processes. Following this, ANN models were then developed for a crude oil distillation column, which was a more complex industrial process. The ANN models were developed with different combinations of input and output variables to determine the effects of different variable combinations. Radial basis function network models were tested and were taken as the base case. Hierarchically structured neural network (HSNN) models and simple serial and hybrid network-model configurations were also developed and …
M4C | Sensing | | M4D | SALA BIANCA | 16:10―17:30 | SALA TURCA | Hideki Hashimoto, Japan | CHAIR | | Johné Parker, USA | CO-CHAIR | Hiroshi Kobayashi, Japan | Multi-Echo Technique for Feature Detection and Identification using Simple Sonar Configurations
Fernando Moita, Urbano Nunes, Coimbra Polytechnic Institute, Portugal
This work presents the study and development of sonar sensor configurations and processing methods with capability to detect and identify planes, edges and corners. The systems presented can be easily applied to settled robots or new platforms to improve the quality and quantity of ultrasonic data. No special configurations as arrays or cells of sensors are used in this work, only standard configurations that can be found and applied in a great number of mobile robots. New multi-echo functionalities are introduced and combined with EERUF, providing a new ME-EERUF (Multi-Echo Error Eliminating Rapid Ultrasonic Firing) method that simultaneously increases the sonar acquisition rate and provides inter-sensor measurements, necessary to implement feature detection and identification … | 16:10―16:30 | Dynamic Modeling and Control of a Car Transmission System
R. Zanasi, Università di Modena e Reggio Emilia, A. Visconti, Ferrari SpA, G. Sandoni, R. Morselli, Università di Modena e Reggio Emilia, Italy
In the paper the dynamic model of a car transmission system is taken into account and a simple control strategy for controlling the transmitted torque is presented. All the main components of the transmission system (the engine the clutch the gear-box the differential etc.) have been modeled in details by using the graphical modeling technique named Power-Oriented Graph. A particular attention has been paid to the model of the clutch system because of its importance in the modulation of the transmitted torque. A simple control strategy for controlling the torque transmitted during the start of the car is also presented. Simulation results show the usefulness of the model and the effectiveness of the presented control strategy.
| Measurement of Force Sensory Information for the Automation of Ultra-Precision Assembly Tasks
Yoshio Yamamoto, Tadashi Hashimoto, Tokai University, Takahiro Okubo, Toyotsugu Itoh, Konica Corporation, Japan
Automation of assembly tasks has previously been tackled by many researchers. They mostly focused on the geometric constraints related to a considered task e.g. relative configuration change between the peg and the hole in peg insertion task. This approach however seems valid only when the dimensional tolerance is fairly large so that it allows to change the relative configuration of the two mating parts in an obvious fashion. This paper investigates how highly precise assembly tasks can be automated. Tolerance considered in the present study is in the range of 3 to 9 μm. We focus on force sensory information involved in high-precision peg-in-a-hole task of a polygon mirror unit because a position-based analysis under such … | 16:30―16:50 | Modeling of a Novel Fan Clutch Pneumatic Actuation System
Philip Kroeker, Vansco Electronics Ltd., Saeid Habibi, Richard Burton, University of Saskatchewan, Canada
A variable speed fan clutch system has been developed to help improve engine temperature regulation efficiency in heavy-duty commercial vehicles. This system is currently in a prototype phase and a detailed physical model of the actuation system is required for control system design and design trade-off analysis. This paper proposes the use of model identification techniques to estimate a minimal model structure. Parametric models of the fan clutch pneumatic system are developed and the system dynamic behavior examined. The fan clutch pneumatic system is composed of three subsystems. Model structure estimates for these sub-systems are realized using system identification techniques. The physical and parametric models are validated by comparing simulation and test results. A comparison … |
Fiber Optic Sensing System for Smart Materials and Structures Andrea Cusano, Giovanni Breglio, Michele Giordano, Antonio Calabrò, Luigi Nicolais, Antonello Cutolo, Università di Napoli Federico II, Italy
In this work, a fiber optic multiparameter sensing system is presented. It could be used for process and structural health monitoring in concrete structures. Reflectometric technique has been implemented for refractive index measurements by using as transducer the fiber end/host interface. Results on the capability of the developed sensor to monitor the curing process of thermoset based composites are presented. The integration with Fiber Bragg Gratings (FBGs) with the aim to perform temperature and strain measurements has been discussed. Two low cost intensity based demodulation techniques for FBGs interrogation have been developed and tested. Preliminary experimental results are shown.
| |
Share with your friends: |
