In order to optimize the overall performance design and control algorithm of hydrogen-fueled aero-engines, it is necessary to develop a dynamic model that accurately reflects their characteristics. This study uses des...
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ISBN:
(数字)9781624107115
ISBN:
(纸本)9781624107115
In order to optimize the overall performance design and control algorithm of hydrogen-fueled aero-engines, it is necessary to develop a dynamic model that accurately reflects their characteristics. This study uses design point data of hydrogen-fueled turbojet engines and a limited amount of experiment data to construct a baseline model and an adaptive model. Firstly, based on the design point data, a baseline model is constructed using a component-level modeling method, and the physical properties of hydrogen combustion gas are corrected to improve the accuracy of the baseline model. Secondly, the dynamic characteristics of the hydrogen regulating valve are identified through experimental data, and the characteristics of this actuator are integrated into the model to more accurately reflect the dynamic characteristics of the hydrogen-fueled turbojet engine. Finally, based on the limited experimental data, the particle swarm optimization algorithm is used to select appropriate value of correction factors to improve the steady-state accuracy of the model. Validation results show that this method can quickly and effectively establish an accurate hydrogen-fueled aero-engine adaptive model based on limited experimental data. Under the same hydrogen flow rate, the maximum steady-state errors of speed and exhaust temperature are 2.35% and 2.07%, respectively.
Most noise shaping (NS) SAR ADCs still use the same control algorithm as Nyquist SAR ADC. Noticing the slow-varying input under oversampling, this paper proposed a new algorithm named quantization-error-matched RLSB-f...
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ISBN:
(纸本)9798350361766;9798350361759
Most noise shaping (NS) SAR ADCs still use the same control algorithm as Nyquist SAR ADC. Noticing the slow-varying input under oversampling, this paper proposed a new algorithm named quantization-error-matched RLSB-first to improve the switching efficiency. Compared with the VCM-based algorithm, the proposed algorithm saves 87.3% switching power consumption in a 1st order NS SAR under an OSR of 25. Simulated under a 55nm CMOS process, the NS SAR ADC based on the proposed algorithm achieves an SNDR of 87.2dB with a 20kHz signal bandwidth. Operating at 2.8kS/s sampling rate, it consumes 12.1 mu W power, corresponding to a Schreier FoM of 179.4dB.
The ability for agents to arbitrarily control a safety-critical vehicle system comes with the necessity for this system to feature a "flight envelope protection system," should the agent erroneously or delib...
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ISBN:
(数字)9781624107115
ISBN:
(纸本)9781624107115
The ability for agents to arbitrarily control a safety-critical vehicle system comes with the necessity for this system to feature a "flight envelope protection system," should the agent erroneously or deliberately drive the system into hazardous situations. This need is particularly true of systems evolving in environments containing obstacles, either physical or otherwise. The "flight envelope protection system" aims to take over the vehicle's guidance before collision with the obstacle is unavoidable. Also named run-time assurance, the system generates "safe exit trajectories" in real time. This work provides a novel solution approach that follows a two-step process: First, reference backup trajectories are generated, together with trajectory regulation control laws, using a comprehensive but possibly time-consuming and unreliable trajectory optimization software. Second, we generate backup trajectories in real time by activating the regulation loop of a neighboring reference trajectory and computing the resulting trajectory. Numerical examples illustrate the approach. The work builds upon that previously reported in [1].
This Paper proposed a portable wireless data acquisition system for temperature in real time process dynamics. Process variables (like temperature, pressure, flow, level) vary with time in certain applications and thi...
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ISBN:
(纸本)9781424424085
This Paper proposed a portable wireless data acquisition system for temperature in real time process dynamics. Process variables (like temperature, pressure, flow, level) vary with time in certain applications and this variation should be recorded so that a control action can take place at a defined set point This paper proposes an 8 bit embedded platform for a sensor having a network interface using the 802.15.4, ZigBee protocol, that is specially designed for the sensors network. The ZigBee protocol is a wireless technology developed as an open global standard to address the unique needs of low-cost, low-power, wireless sensors network This wireless data logger senses and monitors the variations in the local temperature thereby transmits the data within the range to an assigned embedded processor based server. Received temperature is displayed on a local liquid crystal display (LCD) on assigned server and simultaneously on a computer.
This paper first introduces the characteristics of the neural network, and designs the neural network PID controller based on FPGA, and then designs the hardware structure of the whole temperature control system throu...
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ISBN:
(纸本)9781457703218
This paper first introduces the characteristics of the neural network, and designs the neural network PID controller based on FPGA, and then designs the hardware structure of the whole temperature control system through the analysis of the serial communication FPGA, and finally the paper introduces the has software design and simulation for the temperature control system. The simulation results indicate that the neural network PID controller has a faster response speed and stronger anti-interference ability, and this system has stable performance and reliable operation, has the very good practical value.
Intelligent mini-flying robotic vehicles powered by cold gas jets that fall in the category of Extreme Access Flyers (EAF) have gained popularity in recent years due to their ability to potentially explore and extract...
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ISBN:
(数字)9781624105784
ISBN:
(纸本)9781624105784
Intelligent mini-flying robotic vehicles powered by cold gas jets that fall in the category of Extreme Access Flyers (EAF) have gained popularity in recent years due to their ability to potentially explore and extract resources from the rough and mainly inaccessible landscape of space bodies. One particular field of interest in these missions is the area of failure and disturbance rejection. These EAFs are subjected to many unique types of disturbances which would need to be rejected by the control laws. This paper focusses on the design, implementation, and comparison analysis of Direct Model Reference Adaptive controller (MRAC) augmentation and L1 Adaptive control application for attitude stability of a Gimbaled Mini-Free Flyer vehicle in the presence of uncertainties such as thruster swiveling angle lock and saturation failures within a simulation environment. The Gimbaled Mini-Free Flyer vehicle is controlled by a propulsion system in conjunction with a thrust vectoring actuation configuration. The proposed architecture includes Non-Linear Dynamic Inversion (NLDI) implemented as a baseline controller and augmented with the adaptive control laws. The robustness and performance of the control algorithms are analyzed in this paper and numerical simulations are provided showing acceptable tracking performance of the attitude angles under the presence of disturbances.
This paper describes novel multi-electrode systems that can autonomously position recording electrodes inside cortical tissue so as to isolate and then maintain optimal extracellular signal recording quality without h...
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ISBN:
(纸本)9781424400393
This paper describes novel multi-electrode systems that can autonomously position recording electrodes inside cortical tissue so as to isolate and then maintain optimal extracellular signal recording quality without human intervention. Autonomous microdrives can be used to improve the quality and efficiency of acute recordings that are needed for basic research in neurophysiology. They also offer the potential to increase the longevity and quality of chronic recordings and will serve as the front end of neuroprosthetic systems that aid the handicapped. We first describe the autonomous positioning algorithm, and its implementation as a finite state machine. We have deployed the algorithm on both conventional acute recording micro-drives and a novel miniature robot microdrive. Experimental results in monkey cortex are presented.
Object dynamics and disturbances compensation method synthesized a control algorithm for the dual-channel object. A mathematical model of the dual-channel control object with a transportation lag was created. A new ef...
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ISBN:
(纸本)9781467368551
Object dynamics and disturbances compensation method synthesized a control algorithm for the dual-channel object. A mathematical model of the dual-channel control object with a transportation lag was created. A new efficient management system for the bulk material consumption was developed. Model investigations computer-aided and field tests implementing the proposed method were conducted.
The use of solar energy as an energy source is essential to reduce greenhouse gas emissions. In a photovoltaic system, the use of a sun tracker can produce up to 40% more energy than a fixed system. However, it is imp...
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The use of solar energy as an energy source is essential to reduce greenhouse gas emissions. In a photovoltaic system, the use of a sun tracker can produce up to 40% more energy than a fixed system. However, it is important, especially in temperate climates, to have an effective control strategy that can adapt the movement of the solar tracker for all weather conditions. This work presents a new control strategy for a dual-axis sun tracker based on a radiometric cube with four photodiode sensors on its East, West, South and Zenith faces. The optimal direction that maximises the irradiance received by the sun tracker can be determined through the mathematical expression of the irradiances on the four faces of the cube, considering an isotropic model for the diffuse luminance of the sky. This new control strategy adjusts the movement of the solar tracker to an optimal position in all weather conditions. The proposed control strategy provides a 40.5% gain in energy output on a cloudy day compared to the standard chronometric sun tracking strategy. For periods of clear and highly variable sky, the difference between the two strategies is only 0.15% and 1%.
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