... the wafer and an electrostatic chuck (ESC) and an algorithm of the model predictive control (MPC) combined with an observer. The temperatures are measured only at the wafer edge zone and the ESC ceramic plate that are accessible during the process. The observer estimates wafer temperatures of center...

... stiffness of a robot and workpiece, needed to control the robot-workpiece elastic interactions are often difficult to model and can vary due to geometry changes of the workpiece caused by large deformations and associated pose variations of the robot. The main contribution of this article is an algorithm...

... both finite element modeling and control-oriented modeling to predict and improve the quality of printed parts. In this paper, we propose a novel control-oriented multi-track melt pool width model that utilizes the superposition principle to account for the complex thermal interactions that occur...

...Jiamin Xu; Alexander Keller; Nazli Demirer; He Zhang; Kaixiao Tian; Ketan Bhaidasna; Robert Darbe; Dongmei Chen This paper presents the development and validation of a nonlinear delay differential equation (DDE) model for borehole propagation in the inclination plane. Most importantly, built upon...

...Behzad Kadkhodaeielyaderani; Joshua L. Leibowitz; Yejin Moon; Stephen Stachnik; Morcos Awad; Grace Sarkar; Anna E. Shaw; Shelby Stewart; Melissa Culligan; Joseph S. Friedberg; Jin-Oh Hahn; Hosam Fathy This paper presents an experimentally parameterized model of the dynamics of oxygen transport...

...Atharva Tandale; Kaushal Jain; Peter H. Meckl The NO x conversion efficiency of a combined Selective Catalytic Reduction and Ammonia Slip Catalyst (SCR-ASC) in a Diesel Aftertreatment (AT) system degrades with time. A novel model-informed data-driven On-Board Diagnostic (OBD) binary classification...

...@msu.edu Email: xbtan@msu.edu Email: samuel-hunter.berndt@jpl.nasa.gov Email: christiahn.roman@jpl.nasa.gov 24 07 2023 02 09 2023 13 09 2023 22 09 2023 Actuator aerospace systems Dynamics and control Flight control Modeling robotics Unmanned vehicles...

... in Eq. (7) was constructed along with the parameters in Table 1 . The inputs u and M were set to bound white noise with sampling time 0.01 and maximum absolute amplitude of 100.2 × 10 −5 , respectively. For the simulation purpose of the cantilever model, the hysteresis observed at a distance x...

...Evan Kawamura; Dilmurat Azimov This study aims to analyze three unmanned aerial vehicles’ static and dynamic motor thrust models and to compare them with flight test telemetry motor angular velocity data as ground truth. This comparison determines which model is the most accurate based on the root...

...Manash Chakraborty; Ryan J. Caverly This letter presents a method to model the disturbance environment of a dual-stage hard disk drive (HDD), which is then used to predict the actuator stroke usage (i.e., the range of actuator displacement used) of a closed-loop track-following controller...

... navigation and obstacle avoidance in dynamic environments. The literature on modeling and control of omni-wheel robots usually relies on the kinematic model or simplified kinematic model. Then developing control laws based on these reduced-effect models. In this article, we developed an efficient full...

... conditions, and this may lead to the cavity collapse and degradation of drag reduction. In the present study, a lumped-element model is applied for the analysis of dynamics of the air cavity under a boat hull moving in the presence of sea waves. When the hull accelerates from a low initial speed to a high...

.... Modeling of the melt pool image response to changes in the input laser power is presented. Based on this identified model, a real-time feedback controller is implemented experimentally on a single track and part scales. On a single-track scale, the controller successfully tracks a time-varying melt pool...

... for a series of coaxial magnetic pendulums are derived, and the solution is compared to experimental results. The equilibrium points and their stability are also determined. algebraic/geometric methods MEMS model validation modeling multibody systems nonlinear systems vibrations Natural...

...Chitra Dangwal; Marcello Canova Predicting the chemical and physical processes occurring in Lithium-ion cells with high-fidelity electrochemical models is today a critical requirement to accelerate the design and optimization of battery packs for automotive and aerospace applications. One...

...Yumeng Wu; George Chiu This paper proposes an improved model of height profile for drop-on-demand printing of ultraviolet curable ink. Unlike previous model, the proposed model propagates volume and covered area based on height difference between adjacent drops. Height profile is then calculated...

... the pulsing motion of Xenia coral arms, we develop an additional soft flexure system that converts the linear translation to rotary motion. The design and fabrication of the electromagnetic actuator and compliant flexure are first described. Models for the magnetic forces and the joint kinematics...

... are linear discriminant analysis (LDA) and boosted trees (BT), which are representative methods of the two major categories of machine learning algorithms, parametric and nonparametric. To analyze the performance of the aforementioned classification methods, a number of model evaluation metrics including...

...Amir Iqbal; Zhu Mao; Yan Gu The complex dynamic behaviors of legged locomotion on stationary terrain have been extensively analyzed using a simplified dynamic model called the spring-loaded inverted pendulum (SLIP) model. However, legged locomotion on dynamic platforms has not been thoroughly...

...David J. Dunlop; Mark A. Minor Perching in unmanned aerial vehicles is appealing for reconnaissance, monitoring, communications, and charging. This paper focuses on modeling, simulation, and control of bioinspired perching in unmanned aerial vehicles on cylindrical objects, which will be used...