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Thermal Management in Laminated Die System
서자호,Amir Khajepour,Jan P. Huissoon 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.4
The thermal control of a die is crucial for the development of high efficiency injection moulds. For an effective thermal management, this research provides a strategy to identify a thermal dynamic model and to design a controller. The neural network techniques and finite element analysis enable modeling to deal with various cycle-times for moulding process and uncertain dynamics of a die. Based on the system identification which is experimentally validated using a real system, controllers are designed using fuzzy-logic and self-tuning PID methods with backpropagation and radial basis function neural networks to tune control parameters. Through a comparative study, each controller’s performance is verified in terms of response time and tracking accuracy under different moulding processes with mul-tiple cycle-times.
Comprehensive Online Control Strategies for Plastic Injection Molding Process
Seo, J.,Khajepour, A.,Huissoon, J.P. American Society of Mechanical Engineers 2014 JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-T Vol.136 No.4
<P>This study proposes an effective thermal control for plastic injection molding (polymer: Santoprene 8211-45 with density of 790 kg/m(3), injection pressure: 1400 psi (9,652,660 Pa)) in a laminated die. For this purpose, a comprehensive control strategy is provided to cover various themes. First, a new method for determining the optimal sensor locations as a prerequisite step for modeling and controller design is introduced. Second, system identification through offline and online training with finite element analysis and neural network techniques are used to develop an accurate model by incorporating uncertain dynamics of the laminated die. Third, an additive feedforward control by adding direct adaptive inverse control to self-adaptive PID is developed for temperature control of cavity wall (cavity size: 52.9 x 32.07 x 16.03 mm). A verification of designed controller's performance demonstrates that the proposed strategy provides accurate online temperature tracking and faster response under thermal dynamics with various cycle-times in the injection mold process.</P>
Thermal Management in Laminated Die System
Seo, Jaho,Khajepour, Amir,Huissoon, Jan P. 제어로봇시스템학회 2014 Transaction on control, automation and systems eng Vol.12 No.4
The thermal control of a die is crucial for the development of high efficiency injection moulds. For an effective thermal management, this research provides a strategy to identify a thermal dynamic model and to design a controller. The neural network techniques and finite element analysis enable modeling to deal with various cycle-times for moulding process and uncertain dynamics of a die. Based on the system identification which is experimentally validated using a real system, controllers are designed using fuzzy-logic and self-tuning PID methods with backpropagation and radial basis function neural networks to tune control parameters. Through a comparative study, each controller's performance is verified in terms of response time and tracking accuracy under different moulding processes with multiple cycle-times.
ANALYSIS AND OPTIMIZATION OF AIR SUSPENSION SYSTEM WITH INDEPENDENT HEIGHT AND STIFFNESS TUNING
P. KARIMI ESKANDARY,A. KHAJEPOUR,A. WONG,M. ANSARI 한국자동차공학회 2016 International journal of automotive technology Vol.17 No.5
Suspensions play a crucial role in vehicle comfort and handling. Different types of suspensions have been proposed to address essential comfort and handling requirements of vehicles. The conventional air suspension systems use a single flexible rubber airbag to transfer the chassis load to the wheels. In this type of air suspensions, the chassis height can be controlled by further inflating the airbag; however, the suspension stiffness is not controllable, and it depends on the airbag volume and chassis load. A recent development in a new air suspension includes two air chambers (rubber airbags), allowing independent ride height and stiffness tuning. In this air suspension system, stiffness and ride height of the vehicle can be simultaneously altered for different driving conditions by controlling the air pressure in the two air chambers. This allows the vehicle’s natural frequency and height to be adjusted according to the load and road conditions. This article discusses optimization of an air suspension design with ride height and stiffness tuning. An analytical formulation is developed to yield the optimum design of the new air suspension system. Experimental results verify the mathematical modeling and show the advantages of the new air suspension system.
Effective Ground Mapping for Autonomous Excavation
Abdullah Rasu,Amir Khajepour,Jaho Seo 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The accurate and detailed sensing information of the excavated ground is a prerequisite for successful autonomous excavation. For this issue, our study proposes efficient methodologies for ground mapping that can generate a reconstructed map to deal with sensor occlusion and a 5D map beyond a normal 3D map to provide the various ground information at excavation sites. For the map reconstruction, exteroceptive and proprioceptive data were merged for occlusion areas. The 5D map was created using the information of 3D geometry, Lidar’s intensity, and ground force index. Experimental tests using a mini excavator were carried out to validate the proposed methodologies.
H-Infinity Shifting Control in a Dual-Speed Transmission for Electric Vehicle
Tan Senqi,Yang Jue,Khajepour Amir,Zhao Xinxin,Yu Wenhao 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.1
To improve the economic and comfort performance of pure electric vehicles (PEV), this paper proposes a novel H-infinity gear-shifting controller for dual-speed Transmissions (DST) to achieve a smooth and swift shifting when considering uncertain disturbances in system. Firstly, the structure as well as the working principle of the DST for PEV are introduced briefly and the mathematical model of the transmission is derived according to the Lagrange equation. Then the gear-shifting process is analyzed and the control problem is formulated according to the clutch status. Next, a robust Hinfinity controller is proposed to attenuate the vehicle jerk as well as the clutch sliding energy loss. Simulation results under different working conditions indicate the controller presented have better performance in limiting the effect of unknown external disturbances comparing to a calibrated proportional-integral derivative (PID) controller.