The article includes the comparison of two methods of modeling and evaluating the dynamics of rotors in active magnetic bearings (AMBs). An analysis of the dynamics of the rotor of the turbocompressor of the gas-pumpi...
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ISBN:
(纸本)9783031614149;9783031614156
The article includes the comparison of two methods of modeling and evaluating the dynamics of rotors in active magnetic bearings (AMBs). An analysis of the dynamics of the rotor of the turbocompressor of the gas-pumping unit is considered, taking into account AMBs which are used as systems for control of motion stability. Two different methods of modeling were used to simulate the rotor dynamics of the rotor-AMBs system: the first is solid modeling which takes into account the deformability of the hinged elements of the rotor and its effect on its natural frequencies and critical speeds and the second is mass modeling where all hinged elements are replaced by mass-inertial elements. Both approaches are based on the application of finite element methods. The work aims to identify the advantages and disadvantages of using different methods for modeling and calculating rotordynamics characteristics of rotors supported by AMBs. The identification is based on various static and dynamic analyses. The results of numerical experiments are presented in the form of calculations of critical speeds and modes of oscillation (precession). This makes it possible to judge the possibility of the resonance regimes of the system and prevent dangerous situations. Obtained results indicate the accuracy and adequacy of results generated using different methods. The results could be used to determine the applicability of certain approaches depending on the specific needs of an engineer or researcher.
At present, in the industrial application of AMB (active magnetic bearing), most of the design methods are to linearize the magnetic bearing model near the working point, and then design the traditional PID controller...
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This paper presents an efficient modeling approach of resistive random-access memory (ReRAM) for fast system-level validation of ReRAM-based processing-in-memory (PIM). The proposed of ReRAM model is implemented with ...
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The traditional gate can not use the natural conditions to achieve flood control function, in the flood comes by relying on human operation, can not carry out timely flood control operation. This paper proposes a hydr...
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Control of robotic leg prostheses and exoskeletons is an open challenge. computermodeling and simulation can be used to study the dynamics and control of human walking and extract principles that can be programmed in...
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ISBN:
(纸本)9798350386523;9798350386530
Control of robotic leg prostheses and exoskeletons is an open challenge. computermodeling and simulation can be used to study the dynamics and control of human walking and extract principles that can be programmed into robotic legs to behave similar to biological legs. In this study, we present the development of an efficient two-layer Q-learning algorithm, with k-d trees, that operates over continuous action spaces and a reward model that estimates the degree of muscle activation similarity between the agent and human state-to-action pairs and state-to-action sequences. We used a human musculoskeletal model acting in a high-dimensional physics-based simulation environment to train and evaluate our algorithm to simulate biomimetic walking. We used imitation learning and artificial biomechanics data to accelerate training via "expert" demonstrations and used experimental human data to compare and validate our predictive simulations, achieving 79% accuracy. Moreover, when compared to the previous state-of-the-art that used deep deterministic policy gradient, our algorithm was significantly more efficient with lower computational and memory storage requirements (i.e., requiring 7 times less RAM and 87 times less CPU compute), which can benefit real-time embedded computing for robot control. Overall, our new two-layer Q-learning algorithm using sequential data for continuous imitation of human locomotion serves as a first step towards the development of bioinspired controllers for robotic prosthetic legs and exoskeletons. Future work will focus on improving the prediction accuracy compared to experimental data and expanding our simulations to other locomotor activities.
High-stakes professions like negotiators and pilots utilize simulations for risk-free training, enhancing skills and decision-making. Traditional simulations, while effective, are resource-intensive. computer simulati...
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Underwater manipulator is mainly driven by electric and oil hydraulic pressure, and it is widely used in underwater operation. The control parameters of conventional PID controller are fixed, and the control effect on...
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The systems dynamics (SD) method allows analysis of the performance of complex systems over the full simulation period. It allows for prediction of the dynamics of systems containing many interdependent elements. Howe...
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Agent-based modeling has become increasingly prevalent in transportation systems simulation as the scenarios around new technologies and policies become increasingly complex. This increased complexity, in terms of tra...
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With the continuous development of computer virtual reality technology, in recent years, Chinese foreign students can learn more knowledge and multi-dimensional and multi-stage online open courses in the process of cl...
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