飞机横侧响应反馈控制律设计

以某原型机为例对三自由度电传系统横侧响应反馈控制律的设计原理及计算方法进行了探讨，所提出的参数顶修正法能使指标检验与系统控制参数调整构成稳定闭环，进一步提高了匹配精度。经数字仿真和实时仿真试验证明，所提出的方法能够满足总体要求。     

三容实验系统的变结构PID控制

基于非线性系统的反馈线性化,介绍了一种变结构PID控制方法．该方法能够有效地改善有控制量约束系统的控制性能．以某试验系统为被控对象,在对其进行反馈线性化同时实现静态解耦的基础上,给出了变结构PID控制的实验结果,并与常规PID控制进行了比较．结果表明了变结构PID控制的优越性．     

系统鲁棒极点的输出反馈配置

本文讨论了利用输出反馈配置线性多变量定常系统鲁棒极点的问题。本文给出了一种设计方法,证明了有关定理,并用实例说明了这种方法的应用。     

用三轴气浮台进行混沌控制与反控制研究

以航天器姿态运动为工程背景，以三轴气浮台为物理实验平台，研究了混沌控制与反控制问题；提出了用外控制力矩进行混沌化，然后再将混沌控制信号施加于动量轮来进行混沌控制实验的方法；通过引入非线性解耦反馈，构造了一种易于物理实现的具有更强代表性的连续非线性系统，从中发现了一大类新的形态各异的混沌吸引子。     

负反馈放大器的简便分析方法

本文介绍了一种判断、分析负反馈放大器的简便方法。     

舵机伺服系统位置反馈校正方法研究

以传统的舵机伺服系统动压反馈回路为基础,介绍了一种新的伺服系 统动态校正方法。首先给出了现有舵机的简化模型,深入分析了原有动压反馈 回路对系统的作用影响。在此基础上,通过频率域响应设计方法,进行位置反馈 校正网络的设计。同时重点考察所设计系统的相角裕度、幅值裕度、谐振峰值、 闭环带宽等频率特性量。最后,从时域、频域两个方面比较两种校正方法对系统 的影响,验证设计方法的可行性。     

舰尾流环境中载机纵向QFT/TECS控制系统设计

为了消除舰尾流对载机着舰过程产生的影响,同时完成低动压状态下飞行速度与高度的解耦工作,基于定量反馈理论/总能量控制理论(QFT/TECS)设计了纵向着舰控制系统。针对着舰过程中数学模型所具有的不确定因素及舰尾流对下滑航迹的影响,以载机高度变化率为控制对象,使用定量反馈理论结合推力补偿系统进行了内回路鲁棒控制律设计。外回路控制律设计是以总能量控制理论为基础,通过粒子群优化算法对待调控制参数进行寻优,进而实现了对高度、速度等参数的精确控制,完成了载机纵向着舰轨迹与速度的解耦工作。仿真结果表明,该控制律在拥有较强的鲁棒性的基础上具有良好的解耦控制能力,实现了载机着舰段的高度与速度的解耦控制,明显提高了载机对着舰轨迹的跟踪能力,可满足不确定条件下载机的着舰要求。     

Adaptive neural network control of nonlinear systems with unknown dynamics

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input–output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network’s predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller.     

Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics

The main objective of the turboprop engine control system is to ensure propeller absorbed power at a constant propeller speed by controlling fuel flow and blade angle. Since each input variable affects the selected output variables, there exist strong interactions between different control loops of a Two-Spool TurboProp Engine (TSTPE). Inverted decoupling is used to decouple the interactions and decompose the TSTPE into two independent single-input single-output systems. The multi-variable PI controller and two single-variable PI controllers are designed for the TSTPE with actuator dynamics based on Linear Matrix Inequality (LMI), respectively, which is derived from static output feedback and pole placement condition. The step responses show that due to the difference in the response times of the selected output variables, it is difficult to design an appropriate multi-variable PI controller. The designed single-variable PI controllers are tested on the TSTPE integrated model to illustrate the effectiveness of the proposed method, that is, the interactions are first decoupled and then the controllers are designed, and the resulting simulated responses show that compared with the controller designed without actuator dynamics, the gas-generator shaft speed and power turbine shaft speed can better track their respective commands under the action of the controller designed with actuator dynamics.     

Modeling and control of a novel electro-hydrostatic actuator with adaptive pump displacement

The variable pump displacement and variable motor speed electro-hydrostatic actuator (EHA), one of the three types of EHAs, has advantages such as short response time, flexible speed regulation, and high efficiency. However, the nonlinearity of its double-input single-output system poses a great challenge for system control. This study proposes a novel EHA with adaptive pump displacement and variable motor speed (EHA-APVM). A closed-loop position is realized using a servomotor. Moreover, the displacement varies with the system pressure; thus, the EHA-APVM is a single-input and single-output system. Firstly, the working principles of the EHA-APVM and the pump used in the system are introduced. Secondly, a nonlinear mathematical model of the proposed EHA-APVM control system is established, and a feedback back-stepping (FBBS) control algorithm is introduced to transform the complex nonlinear system into a linear system on the basis of the back-stepping control theory. Finally, simulation results prove that the EHA-APVM has a quick response and high robustness to variations of the load and the pump displacement. In this work, the size and weight of the motor are significantly reduced because the maximum power requirement is reduced, which is very beneficial for using the actuator in airborne equipment.