This paper introduces a comprehensive Human Factors validation framework for CS25.1302 regulation, explaining how the degrees of novelty, complexity, and integration impact the level of scrutiny required for aircraft ...
详细信息
ISBN:
(数字)9798331529505
ISBN:
(纸本)9798331529512
This paper introduces a comprehensive Human Factors validation framework for CS25.1302 regulation, explaining how the degrees of novelty, complexity, and integration impact the level of scrutiny required for aircraft cockpit design items. The background underscores the role of human factors consideration for new, complex, and integrated designs in aircraft cockpit. The study aims to provide designers and regulatory authorities with a systematic methodology for determining appropriate means of compliance tailored to the varying degrees of novelty, complexity, and integration of design items. This method outlines the process of selecting a reference aircraft, participants, criteria employed, and how to carry out the assessment. Furthermore, it proposes the framework for selecting appropriate means of compliance considering the level of scrutiny supported by a case study. This framework not only optimizes the Human Factors evaluation procedures but also develops more reasonable scrutiny strategies. This, in turn, contributes to the overall enhancement of cockpit design safety and reliability.
This work focuses on understanding and identifying the drag forces applied to a rotary-wing Micro Aerial Vehicle (MAV). We propose a lumped drag model that concisely describes the aerodynamical forces the MAV is subje...
详细信息
ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
This work focuses on understanding and identifying the drag forces applied to a rotary-wing Micro Aerial Vehicle (MAV). We propose a lumped drag model that concisely describes the aerodynamical forces the MAV is subject to, with a minimal set of parameters. We only rely on commonly available sensor information onboard a MAV, such as accelerometer data, pose estimate, and throttle commands, which makes our method generally applicable. The identification uses an offline gradient-based method on flight data collected over specially designed trajectories. The identified model allows us to predict the aerodynamical forces experienced by the aircraft due to its own motion in real-time and, therefore, will be useful to distinguish them from external perturbations, such as wind or physical contact with the environment. The results show that we are able to identify the drag coefficients of a rotary-wing MAV through onboard flight data and observe the close correlation between the motion of the MAV, the measured external forces, and the predicted drag forces.
The implementation of digital normative and technical documents (DNTD) in the electric power industry, especially in the field of relay protection (RP), significantly increases the efficiency of design and expert revi...
详细信息
ISBN:
(数字)9798331501105
ISBN:
(纸本)9798331501112
The implementation of digital normative and technical documents (DNTD) in the electric power industry, especially in the field of relay protection (RP), significantly increases the efficiency of design and expert review processes. The article presents an approach to the creation and analysis of DNTD for RP, for formulating requirements for project solutions using artificial intelligence (AI) methods.
The traditional recognition methods of wheel hubs are mainly based on extracted feature matching. In practical production, their accuracy, robustness and processing speed are usually greatly affected. To overcome thes...
详细信息
Object goal visual navigation is a challenging task that aims to guide a robot to find the target object based on its visual observation, and the target is limited to the classes pre-defined in the training stage. How...
Object goal visual navigation is a challenging task that aims to guide a robot to find the target object based on its visual observation, and the target is limited to the classes pre-defined in the training stage. However, in real households, there may exist numerous target classes that the robot needs to deal with, and it is hard for all of these classes to be contained in the training stage. To address this challenge, we study the zero-shot object goal visual navigation task, which aims at guiding robots to find targets belonging to novel classes without any training samples. To this end, we also propose a novel zero-shot object navigation framework called semantic similarity network (SSNet). Our framework use the detection results and the cosine similarity between semantic word embeddings as input. Such type of input data has a weak correlation with classes and thus our framework has the ability to generalize the policy to novel classes. Extensive experiments on the AI2-THOR platform show that our model outperforms the baseline models in the zero-shot object navigation task, which proves the generalization ability of our model. Our code is available at: https://***/pioneer-innovation/Zero-Shot-Object-Navigation.
This paper proposes an adaptive finite-time preassigned performance control (PPC) approach to solve the attitude control problem of hypersonic vehicles (HSVs) suffering from lumped disturbances. A specific preassigned...
详细信息
ISBN:
(数字)9798331518493
ISBN:
(纸本)9798331518509
This paper proposes an adaptive finite-time preassigned performance control (PPC) approach to solve the attitude control problem of hypersonic vehicles (HSVs) suffering from lumped disturbances. A specific preassigned performance function guaranteeing finite-time stability and small overshoot is presented to constrain the attitude tracking errors. Moreover, a novel synchronous disturbance estimation is presented to build a disturbance observer (DO). Based on the devised preassigned performance function and the information from the DO, an adaptive finite-time preassigned performance controller is devised to solve the attitude control problem. Finally, numerical examples demonstrate the validity of the presented algorithm.
This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-accelerated Stein particle filter. To update a massive amount of particles, we propose a Gauss-Newton-based Stein variational gradient...
详细信息
ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-accelerated Stein particle filter. To update a massive amount of particles, we propose a Gauss-Newton-based Stein variational gradient descent (SVGD) with iterative neighbor particle search. This method uses SVGD to collectively update particle states with gradient and neighborhood information, which provides efficient particle sampling. For an efficient neighbor particle search, it uses locality sensitive hashing and iteratively updates the neighbor list of each particle over time. The neighbor list is then used to propagate the posterior probabilities of particles over the neighbor particle graph. The proposed method is capable of evaluating one million particles in real-time on a single GPU and enables robust pose initialization and re-localization without an initial pose estimate. In experiments, the proposed method showed an extreme robustness to complete sensor occlusion (i.e., kidnapping), and enabled pinpoint sensor localization without any prior information.
This paper proposes a new approach for co-design of interval observer and Fault-Tolerant Control (FTC) for uncertain switched linear systems subject to unknown but bounded disturbances and uncertainties. The lower and...
详细信息
ISBN:
(数字)9798331518493
ISBN:
(纸本)9798331518509
This paper proposes a new approach for co-design of interval observer and Fault-Tolerant Control (FTC) for uncertain switched linear systems subject to unknown but bounded disturbances and uncertainties. The lower and upper bounds of system states and fault vectors are reconstructed simultaneously by a Dynamic Proportional Integral Interval Observer (DPIIO) while a fault-tolerant tracking controller is designed to stabilize the closed-loop system and compensate for the effects of faults. The coordinate transformation method is applied to relax the common conservative conditions imposed on observer gain matrices. The observer and controller gain matrices are obtained by Linear Matrix Inequalities (LMIs) based on multiple Lyapunov function using input-to-state-stable (ISS) under average dwell time (ADT). Finally, the effectiveness of the proposed strategy is evaluated and proved through an application to lateral vehicle dynamics estimation.
Vehicle modeling is an important topic for the automobile industry and recently for autonomous driving. However, most of the traditional dynamic model-based methods require explicit vehicle individual component models...
详细信息
An important technology of the adaptive cruise system is the calculation of desired acceleration. Based on the changing states of the ego and target vehicle, the calculated desired acceleration is executed by the ego ...
详细信息
ISBN:
(纸本)9781665418232
An important technology of the adaptive cruise system is the calculation of desired acceleration. Based on the changing states of the ego and target vehicle, the calculated desired acceleration is executed by the ego vehicle actuator. After a while, the ego vehicle reaches the speed of the target vehicle and maintains the expected time interval. LQR(Linear quadratic regulator), MPC(model predictive control), and KE(kinematics equations) are most commonly used in mass production. This paper first introduces principles and realization of three desired acceleration calculation methods, secondly analyzes key calibration parameters and their role in each method, and finally compares the advantages and disadvantages of the three methods and their future optimization directions. This paper guides for engineers to develop and test adaptive cruise systems. According to the requirements of the OEM(original equipment manufacturer), tier 1 selects the appropriate desired acceleration solution and calibrates the key parameters, so that the mass production system is accepted.
暂无评论