Large-signal stability analysis of solar array power system

A large-signal stability analysis of the solar array regulator system is performed to facilitate the design and analysis of a low-earth-orbit (LEO) satellite power system. The effective load characteristics of various control methods in the solar array regulator system, such as the constant power load, variable power load, constant voltage load, constant current load, and constant resistive load, are classified to analyze the large-signal stability. Then, using the state plane analysis technique, the large-signal behavior of the solar array system is portrayed and the stability of various equilibrium points is analyzed. Thus, this approach can be contributed to organize the optimal controller structure of the system by representing the relationship between the control method of the solar array regulator and the large-signal stability. For the verification of the proposed large-signal analysis, a solar array regulator system that consists of two 100 W parallel module buck converters has been built and tested using a real 200 W solar array.     

Feedforward maximum power point tracking of PV systems using fuzzy controller

A feedforward maximum power (MP) point tracking scheme is developed for the interleaved dual boost (IDB) converter fed photovoltaic (PV) system using fuzzy controller. The tracking algorithm changes the duty ratio of the converter such that the solar cell array (SCA) voltage equals the voltage corresponding to the MP point at that solar insolation. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous array voltage and reference voltage. The reference voltage for the feedforward loop, corresponding to the MP point, is obtained by an off-line trained neural network. Experimental data is used for off-line training of the neural network, which employs back-propagation algorithm. The proposed fuzzy feedforward peak power tracking effectiveness is demonstrated through the simulation and experimental results, and compared with the conventional proportional plus integral (PI) controller based system. Finally, a comparative study of interleaved boost and conventional boost converter for the PV applications is given and their suitability is discussed.     

Solar Pressure Attitude Stabilization of Earth-Pointing Spacecraft

The development of a solar pressure control system for three-axis attitude control of Earth-oriented spacecraft is presented. A controller configuration consisting of two rotatable mirrorlike surfaces, representing the minimum hardware implementation, is considered. Optimal control theory is applied to synthesize a feedback control law directly governing the differential rotation of the control surfaces. The system performance is evaluated through the response analysis of a satellite subject to destabilizing gravity gradient torques as well as external disturbances. Even under such adverse conditions, the results indicate a moderately sized controller to be quite effective in maintaining the desired Earth-pointing spacecraft orientation. The validity of the optimal control law is established for all times of the year, and the feasibility of implementing suboptimal control policies is also examined.     

Design and testing of spacecraft power systems using VTB

A study is presented on the design and testing of spacecraft power systems using the virtual test bed (VTB). The interdisciplinary components such as solar array and battery systems were first modeled in native VTB format and validated by experiment data. The shunt regulator and battery charge controller were designed in Simulink according to the system requirements and imported to VTB. Two spacecraft power systems were then designed and tested together with the control systems.     

Satellite Librational Damping Using a Quasi-Feedback Solar Controller

The feasibility of developing a simple quasi-feedback solar attitude controller is explored. The case of arbitrarily-shaped satellites carrying two pairs of solar surfaces in circular orbits is considered. An approximate analytical approach is used to synthesize the suitable open-loop control relations enabling decay of the satellite librations. The quasi-feedback control scheme suggested here is found to be quite effective in damping the pitch motion. The proposed control approach appears to be particularly attractive as it requires knowledge of the librational angle and velocity only at a fixed satellite position in orbit.     

Large angle pitch attitude maneuver of a satellite using solarradiation pressure

The force exerted by the solar radiation, though very small in magnitude, produces significant effects, especially in the case of high altitude satellites. The solar radiation pressure represents one freely available environmental force that may be put to use for various purposes. This may lead to enhancement of the life of the satellite since it consumes a very nominal amount of on-board energy. The advantages offered by the solar radiation pressure have drawn the attention of several researchers. Various controllers were proposed for many space missions, particularly for attitude control and stabilization of satellites. A controller for achieving large angle pitch attitude maneuver is described. The proposed control law is very simple in its form and requires a minimum number of on-board computations. Varieties of cases are tried and the effect of various parameters is studied     

平流层电动机控制器热特性仿真分析和实验

为得到某电动机控制器在平流层低温低气压环境下工作时的热特性,开展了基于软件Icepak的热仿真分析,并通过地面环境模拟实验和平流层飞行实验对仿真模型进行了验证,仿真结果与实验结果基本吻合。结果表明:控制器的热设计可以满足保温和散热要求;在平流层低气压条件下,内部风扇可有效地保持控制器内部温度的均衡;平流层高度的太阳辐射对控制器内部温度分布有较大影响,在进行热设计时应予以考虑。研究结果为平流层电动机控制器的工程应用提供重要的参考依据。      

Energy-optimal trajectory planning for solar-powered aircraft using soft actor-critic

High-Altitude Long-Endurance(HALE) solar-powered Unmanned Aircraft Vehicles(UAVs) can utilize solar energy as power source and maintain extremely long cruise endurance,which has attracted extensive attentions from researchers. Trajectory optimization is a promising way to achieve superior flight time because of the finite solar energy absorbed in a day. In this work,a method of trajectory optimization and guidance for HALE solar-powered aircraft based on a Reinforcement Learning(RL) framework is...     

高超声速飞行器强鲁棒自适应控制器设计新方法

针对高超声速飞行器飞行过程系统参数大范围剧烈变化以及存在严重不确定性的特点,同时考虑外界环境干扰复杂,内部干扰严重的特殊问题,提出了一种新型强鲁棒自适应控制器构型。该新型强鲁棒自适应控制器将控制器分为标称控制器和补偿控制器。标称控制器可采用成熟的控制理论来设计,主要考虑闭环系统的性能;采用合适的手段估计系统参数大范围剧烈变化、系统的不确定性以及内、外部干扰等“系统扰动”作为补偿控制器的输入,通过设计强鲁棒补偿控制器对“系统扰动”进行补偿,使整个闭环控制系统对“系统扰动”具有强鲁棒性。将新型强鲁棒自适应控制器应用于高超声速飞行器的姿态控制系统的设计,大大提高了高超声速飞行器控制系统对内、外部干扰的抑制和对系统参数大范围剧烈变化以及严重不确定性的适应能力,可满足高超声速飞行器飞行控制的需求。     

联合连通拓扑下多无人机编队控制

针对在联合连通拓扑条件下的多无人机系统,研究了具有二阶动力学系统模型的多无人机系统时变编队控制问题。基于一致性理论,设计了一致性控制器,将联合连通拓扑条件下的编队控制问题简化为低阶时间平均系统的渐进稳定性问题。利用Lyapunov函数证明了所设计的控制器能够实现编队控制,并利用线性矩阵不等式(LMI)方法给出了控制器的设计算法。在三维空间中,对多无人机系统进行了仿真,验证了所设计的一致性控制器能够使得多无人机系统在联合连通拓扑条件下形成时变编队。     

飞机鲁棒控制器的设计及检验

针对飞机鲁棒控制器设计中的检验问题,介绍了系统检验标准,讨论了系统检验的重要性,重点阐述了对系统进行稳定裕度检验、性能指标检验以及控制器脆弱性检验的方法。提出了利用军标要求对鲁棒控制系统进行性能指标检验,并给出了相应控制器脆弱性的检验方法。对某型飞机设计了纵向运动系统的控制器,并对其进行了系统检验。     

磁悬浮球系统的一种非线性控制方法研究

介绍了磁悬浮球系统的数学模型,并构造了一种非线性状态观测器;其次,设计了一种非线性PID控制器对误差进行控制;最后,应用MATLAB工具对闭环系统进行了仿真。仿真结果表明,该非线性PID控制器可以改善系统响应的品质,实现快速无超调调节效果,并且控制器的参数可以在较大范围变化,具有较强的鲁棒性。     

电液力伺服系统的神经网络并行自适应预测 PI 控制

考虑电液伺服系统的复杂非线性和不确定性特性,提出一类基于神经网络的并行自适应预测PI控制结构,该结构使控制参数的调整和系统的实时控制操作可并行进行,不仅做到了神经模型和控制器的在线辨识和设计,而且避免了神经网络方法通常存在的实时控制的困难,使复杂系统的在线学习控制成为可能。仿真结果表明该控制器具有良好的适应性和鲁棒性。      

基于RBFN的伺服系统前馈控制器设计和仿真研究

 以转台伺服系统为控制对象, 采用RBF 神经网络前馈控制和比例反馈相结合的方法, 并利用单神经元对系统模型进行在线辨识, 为前馈控制器提供Jacobian 参数。将该方法运用在速度环控制中, 仿真结果表明, 采用了该方法的控制系统, 具有较高的跟踪精度和动态性能。     

Adaptive controller design for a linear motor control system

Three different adaptive controllers for a permanent magnet linear synchronous motor (PMLSM) position-control system are proposed. The proposed controllers include: a backstepping adaptive controller, a self-tuning adaptive controller, and a model reference adaptive controller. The detailed systematic controller design procedures are discussed. A PC-based position control system is implemented. Several experimental results including transient responses, load disturbance responses, and tracking responses of square-wave, sinusoidal-wave, and triangular-wave commands are discussed and compared. The proposed system has a good robustness performance even though the inertia of the system is increased to 10 times. The experimental results validate the theoretical analysis.     

基于自适应模糊系统的空天飞行器非线性预测控制

 针对一类多输入多输出非线性不确定系统,提出了基于自适应模糊系统的非线性预测控制方法。控制器由基于模糊系统的非线性预测控制器和鲁棒自适应控制器两个部分组成。根据系统的跟踪误差在线调整模糊系统的权值,使得模糊系统一致逼近被控对象中的非线性函数,通过泰勒展开设计出基于模糊系统的非线性预测控制律,避免了预测控制在线优化带来的繁重的计算负担。鲁棒自适应控制器则用于减少不确定和模糊逼近误差对系统的影响。所设计的控制器保证了闭环系统的最终一致有界稳定。基于Lyapunov稳定原理,给出了理论证明和分析。最后利用提出的控制方案设计了空天飞行器高超声速飞行姿态的控制系统,仿真结果表明了控制方案的有效性。     

Nonlinear controller design for switched reluctance drive systems

A nonlinear speed-loop controller for a switched reluctance motor (SRM) drive system is proposed. The details of the controller design and analysis are discussed. In addition, to extend the controllable speed range, the commutating angle of the drive system is suitably adjusted as the motor speed goes beyond base-speed. By using a 32-bit microprocessor, a fully digital drive system including a digital speed-loop controller and a digital current-loop controller is implemented here. The hardware circuit of the drive system is very simple. The system has satisfactory performance in both the pulsewidth modulated (PWM) region and the single pulse region. The adjustable speed range of the system is from 10 r/min to 3000 r/min. In addition, the proposed drive system performs well in tracking ability, load disturbance rejection capability, and robustness. Several experimental results are presented to validate the theoretic analysis.     

基于小波神经网络的自适应飞/推控制系统设计

基于小波神经网络提出了一种H∞自适应控制方法。控制器由等效控制器和H∞控制器两部分组成。用小波神经网络逼近非线性函数,并把逼近误差引入到权值的自适应律中用以改善系统的动态性能。H∞控制器用于减弱外部及神经网络的逼近误差对跟踪的影响。所设计的控制器不仅保证了闭环系统的稳定性,而且使外部干扰及神经网络的逼近误差对跟踪的影响减小到给定的性能指标。最后基于所设计的控制方法对新一代歼击机设计了飞/推控制系统,并对飞机作大迎角机动仿真。仿真结果表明所设计的飞/推控制系统是有效的,同时验证了所设计的非线性控制方法是有效性的。      

Neural controllers for systems with unknown dynamics

This study presents a methodology for specifying a neural controller for a system about which no a priori model information is available. The neural design presumes that a finite duration input/output (I/O) histogram on the system is available. The design procedure extracts from the histogram sufficient information to specify the neural feedback controller. The resultant controller will drive the system along a general output reference profile (unknown during the design). The resultant controller also exhibits the capability of disturbance rejection and the capacity to stabilize unstable plants