scholarly journals Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Bo Yang ◽  
Jun Miao ◽  
Zichen Fan ◽  
Jun Long ◽  
Xuhui Liu
Keyword(s):  
Energy Consumption ◽  
High Precision ◽  
Attitude Control ◽  
Optimal Allocation ◽  
Control Allocation ◽  
Integer Programming Problem ◽  
Optimization Strategy ◽  
Allocation Strategy ◽  
Precision Control ◽  
Value Decomposition

The high-precision control of picosatellites and nanosatellites has always plagued the astronautics field. Aiming to change the status quo of the actuators not being able to meet the high-precision attitude control of picosatellites and nanosatellites, this article formulates a control allocation strategy for picosatellites and nanosatellites using the solid propellant microthruster array (SPMA). To solve the problem of the diversity and complexity of ignition combinations brought about by the high integration of the SPMA, the energy consumption factor of the optimal allocation is established, and the relationships of the array’s energy consumption factor, the control accuracy, the number, and the ignition combinations of the thruster array are deduced. The optimization objective is introduced by Sherman-Morrison formula and singular value decomposition. Thus, the energy consumption problem is transformed into an integer programming problem, acquiring the control allocation strategy and the optimal thruster energy. Simulation results show that the proposed algorithm can effectively reduce the thrust energy consumption and improve the precision control, demonstrating the feasibility and efficiency of the proposed algorithm for picosatellites and nanosatellites.

scholarly journals An Optimal Allocation Strategy for Multienergy Networks Based on Double-Layer Nondominated Sorting Genetic Algorithms

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Min Mou ◽  
Da Lin ◽  
Yuhao Zhou ◽  
Wenguang Zheng ◽  
Jiongming Ruan ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Double Layer ◽  
Optimization Model ◽  
Optimal Allocation ◽  
Environmental Benefits ◽  
Optimization Strategy ◽  
Allocation Strategy ◽  
Photovoltaic Panel ◽  
Wind Power Generator ◽  
Nondominated Sorting

Aiming at the problems of complex structures, variable loads, and fluctuation of power outputs of multienergy networks, this paper proposes an optimal allocation strategy of multienergy networks based on the double-layer nondominated sorting genetic algorithm, which can optimize the allocation of distributed generation (DG) and then improve the system economy. In this strategy, the multiobjective nondominated sorting genetic algorithm is adopted in both layers, and the second-layer optimization is based on the optimization result of the first layer. The first layer is based on the structure and load of the multienergy network. With the purpose of minimizing the active power loss and the node voltage offset, an optimization model of the multienergy network is established, which uses the multiobjective nondominated sorting genetic algorithm to solve the installation location and the capacity of DGs in multienergy networks. In the second layer, according to the optimization results of the first layer and the characteristics of different DGs (wind power generator, photovoltaic panel, microturbine, and storage battery), the optimization model of the multienergy network is established to improve the economy, reliability, and environmental benefits of multienergy networks. It uses the multiobjective nondominated sorting genetic algorithm to solve the allocation capacity of different DGs so as to solve the optimal allocation problem of node capacity in multienergy networks. The double-layer optimization strategy proposed in this paper greatly promotes the development of multienergy networks and provides effective guidance for the optimal allocation and reliable operation of multienergy networks.

scholarly journals An Actuator Allocation Method for a Variable-Pitch Propeller System of Quadrotor-Based UAVs

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5651
Author(s):  
Ching-Wei Chang ◽  
Shengyang Chen ◽  
Chih-Yung Wen ◽  
Boyang Li
Keyword(s):  
Energy Consumption ◽  
Attitude Control ◽  
Energy Performance ◽  
Control Allocation ◽  
Simulation Environment ◽  
Variable Pitch ◽  
Allocation Method ◽  
Simulation Results ◽  
Bem Theory ◽  
Blade Element

This paper presents a control allocation method for enhancing the attitude following performance and the energy efficiency of a variable-pitch propeller (VPP) system on quadrotor-based unmanned aerial vehicles. The VPP system was modeled according to the blade element momentum (BEM) theory, and an actuator allocation method was developed with the aim of enhancing the attitude control and energy performance. A simulation environment was built to validate the VPP system by creating a thrust and moment database from the experiments. A four-motor variable-pitch quadrotor was built for verifying the proposed method. The control allocation method was firstly verified in a simulation environment, and was then implemented in a flight controller for indoor flight experiments. The simulation results show the proposed control allocation method greatly improves the yaw following performance. The experimental results demonstrate a difference in the energy consumption through various pitch angles, as well as a reduction in energy consumption, by applying this VPP system.

Station-Keeping Control Law Design of Near-Space Airship with Wind Interferences Based on Control Allocation Strategy

2011 ◽  
Vol 110-116 ◽  
pp. 4962-4969
Author(s):  
Xiao Guang Di ◽  
Ya Fei Yang ◽  
Xue Han ◽  
Ke Mao Ma
Keyword(s):  
Attitude Control ◽  
Position Control ◽  
Control Method ◽  
Vertical Position ◽  
Control Law ◽  
Control Allocation ◽  
Control Loop ◽  
Allocation Strategy ◽  
Station Keeping ◽  
Near Space

This paper presents a method for solving the station-keeping problem of near-space airship (NSA) at an altitude of 22km above sea level with wind influence. Firstly, according to the system overall configuration, the nonlinear mathematical model of NSA is established. Secondly, considering the steady wind and turbulence influences, the station-keeping control law of NSA longitudinal plane which divided into forward control loop and vertical control loop is designed. The vertical position control loop adopts the dual PID control method. In order to improve attitude response performance and decrease energy consumption of actuators, attitude control allocation strategy between fins and vectored thruster is provided. At last, the simulation experiment proves the validity of the proposed station-keeping control method of NSA.

scholarly journals A Fault Tolerant Vehicle Stability Control Using Adaptive Control Allocation

2018 ◽  
Author(s):  
Ozan Temiz ◽  
Melih Cakmakci ◽  
Yildiray Yildiz
Keyword(s):  
Adaptive Control ◽  
Fault Tolerant ◽  
Stability Control ◽  
Steering Wheel ◽  
Slip Angle ◽  
Control Allocation ◽  
Control Input ◽  
Allocation Strategy ◽  
Virtual Control ◽  
Yaw Stability

This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and steering angles are handled separately. In this study, these actuators are controlled simultaneously using an adaptive control allocation strategy. The overall structure consists of two steps: At the first level, virtual control input consisting of the desired traction force, the desired moment correction and the required lateral force correction to maintain driver’s intention are calculated based on the driver’s steering and throttle input and vehicle’s side slip angle. Then, the allocation module determines the traction forces at each wheel, front steering angle correction and rear steering wheel angle, based on the virtual control input. Proposed strategy is validated using a non-linear three degree of freedom reduced two-track vehicle model and results demonstrate that the vehicle can successfully follow the reference motion while protecting yaw stability, even in the cases of device failure and changed road conditions.

scholarly journals Energy-saving potential of intermittent heating system: Influence of composite phase change wall and optimization strategy

2020 ◽  
pp. 014459872096921
Author(s):  
Yanru Li ◽  
Enshen Long ◽  
Lili Zhang ◽  
Xiangyu Dong ◽  
Suo Wang
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Phase Change ◽  
Air Temperature ◽  
Indoor Air ◽  
Thermal Environment ◽  
Optimization Strategy ◽  
Indoor Thermal Environment ◽  
Indoor Thermal Comfort ◽  
Intermittent Heating

In the Yangtze River zone of China, the heating operation in buildings is mainly part-time and part-space, which could affect the indoor thermal comfort while making the thermal process of building envelope different. This paper proposed to integrate phase change material (PCM) to building walls to increase the indoor thermal comfort and attenuate the temperature fluctuations during intermittent heating. The aim of this study is to investigate the influence of this kind of composite phase change wall (composite-PCW) on the indoor thermal environment and energy consumption of intermittent heating, and further develop an optimization strategy of intermittent heating operation by using EnergyPlus simulation. Results show that the indoor air temperature of the building with the composite-PCW was 2–3°C higher than the building with the reference wall (normal foamed concrete wall) during the heating-off process. Moreover, the indoor air temperature was higher than 18°C and the mean radiation temperature was above 20°C in the first 1 h after stopping heating. Under the optimized operation condition of turning off the heating device 1 h in advance, the heat release process of the composite-PCW to the indoor environment could maintain the indoor thermal environment within the comfortable range effectively. The composite-PCW could decrease 4.74% of the yearly heating energy consumption compared with the reference wall. The optimization described can provide useful information and guidance for the energy saving of intermittently heated buildings.

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