航天器壳体压力自动加载系统的研究

航天器壳体的压力加载实验对于航天器的安全飞行具有十分重要的意义。研究并建立了航天器壳体水压自动加载系统的数学模型,针对该系统的高度非线性以及高低压特性显著不同的特点,利用误差及误差导数构造了一种变比例因子的模糊PD控制器。采用一种新型的遗传算法对控制器系统参数进行寻优。针对模糊控制器控制规则表与量化比例因子的不同特点,分别采用两种不同的编码方法,进而采用两种不同的遗传操作算子与遗传操作概率。通过MATLAB与C 语言接口编程实现对系统的仿真设计。实验表明该方法取得了良好的压力加载效果。     

质量矩拦截弹的模糊滑模姿态控制系统设计

质量矩控制是一种全新的飞行控制方法，与广泛应用的空气动力控制相比，可以避免飞行器在超高马赫数飞行时舵面的气动加热问题，而且可以提高飞行器的机动性和敏捷性。以所建立的质量矩拦截弹数学模型为基础，通过对模型合理的简化，得到一个耦合的非线性动力学系统，考虑到系统的鲁棒性要求和三个滑块的协调控制问题，利用滑模控制设计了拦截弹大机动飞行时的姿态控制系统，同时采用模糊逻辑算法抑制系统的抖振现象。仿真结果表明系统性能指标满足设计要求，只需微调滑块位置，即可以实现拦截弹的姿态控制。     

基于模糊逻辑的GPS/DR组合导航系统地图匹配算法

利用地图匹配技术能够使用高精度的电子地图位置信息改善 GPS/ DR组合导航系统的定位精度。提出一种基于模糊数学方法和统计概率准则的地图匹配算法 ,在融合定位传感器数据和路段位置信息的基础上 ,通过模糊逻辑评判完成最佳匹配路段的挑选 ,并对匹配修正结果的可信度作出评价。仿真试验的结果证明该算法的有效性。     

飞机失速自动改出装置的设计

采用机械操纵系统的飞机相对电传控制飞机不具备飞行包线保护功能,驾驶员可能在误操作情况下使飞机进入失速状态,特别是新机研制试飞和失速飞行试验。失速自动改出装置通过控制反驱作动器带动操纵系统,抑制驾驶员将飞机操作进入失速,并在飞机进入失速后帮助驾驶员改出失速。模糊控制理论具备常规控制理论所不具备的很多优势,可以使控制律更简单、直观和有效,用于失速改出控制将使系统更加简单易行。     

Two-stage open-loop velocity compensating method applied to multi-mass elastic transmission system

In this paper, a novel vibration-suppression open-loop control method for multi-mass system is proposed, which uses two-stage velocity compensating algorithm and fuzzy I ＋ P control- ler. This compensating method is based on model-based control theory in order to provide a damp- ing effect on the system mechanical part. The mathematical model of multi-mass system is built and reduced to estimate the velocities of masses. The velocity difference between adjacent masses is cal- culated dynamically. A 3-mass system is regarded as the composition of two 2-mass systems in order to realize the two-stage compensating algorithm. Instead of using a typical PI controller in the velocity compensating loop, a fuzzy I ＋ P controller is designed and its input variables are decided according to their impact on the system, which is different from the conventional fuzzy PID controller designing rules. Simulations and experimental results show that the proposed veloc- ity compensating method is effective in suppressing vibration on a 3-mass system and it has a better performance when the designed fuzzy I ＋ P controller is utilized in the control system.     

A fuzzy PID-controlled SMA actuator for a two-DOF joint

Shape memory alloy(SMA) actuator is a potential advanced component for servosystems of aerospace vehicles and aircraft. This paper presents a joint with two degrees of freedom(DOF) and a mobility range close to ±60 when driven by SMA triple wires. The fuzzy proportional-integral-derivative(PID)-controlled actuator drive was designed using antagonistic SMA triple wires, and the resistance feedback signal made a closed loop. Experiments showed that, with the driving responding frequency increasing, the overstress became harder to be avoided at the position under the maximum friction force. Furthermore, the hysteresis gap between the heating and cooling paths of the strain-to-resistance curve expanded under this condition. A fuzzy logic control was considered as a solution, and the curves of the wires were then modeled by fitting polynomials so that the measured resistance was used directly to determine the control signal. Accurate control was demonstrated through the step response, and the experimental results showed that under the fuzzy PID-control program, the mean absolute error(MAE) of the rotation angle was about 3.147. In addition, the investigation of the external interference to the system proved the controllable maximum output.     

变论域模糊控制在无人飞行器马赫数控制中的应用研究

针对无人飞行器的控制要求,提出了一种增量式变论域模糊智能控制算法。该算法具有调节裕度大、鲁棒性强的特点,适用于非线性控制系统,解决了无人飞行器巡航马赫数缓慢升高不能稳定跟踪目标值的问题。通过模拟飞行轨迹的半实物仿真试验,验证了模糊智能控制算法的控制效果,试验结果表明,通过采用模糊控制方法大大提高飞行马赫数控制的动态性能,满足无人飞行器控制系统设计要求,取得了较好的控制效果。      

空间交会对接的智能控制

探讨了交会对接过程自动寻的阶段的智能控制策略及绕飞和最后逼近阶段的模糊控制问题,并针对实际条件给出了仿真结果,证明介绍的控制策略是可行的。     

宾馆火灾风险评估初探

在分析宾馆火灾发生原因的基础上,建立了宾馆火灾危险性、火灾损失评估因素集,并运用模糊评价法对宾馆的火灾安全进行风险性和损失评价,通过评价得出建筑物所属的安全等级,从而为宾馆实施安全管理提供方向和依据。该方法的建立可用于保险公司对投保建筑的鉴别与筛选,同时也可使管理者根据该评估方法及时采取防火安全措施,以降低火灾危险性,减少火灾损失。     

Fuzzy adaptive tracking control within the full envelope for an unmanned aerial vehicle

Motivated by the autopilot of an unmanned aerial vehicle（UAV） with a wide flight envelope span experiencing large parametric variations in the presence of uncertainties, a fuzzy adaptive tracking controller（FATC） is proposed. The controller consists of a fuzzy baseline controller and an adaptive increment, and the main highlight is that the fuzzy baseline controller and adaptation laws are both based on the fuzzy multiple Lyapunov function approach, which helps to reduce the conservatism for the large envelope and guarantees satisfactory tracking performances with strong robustness simultaneously within the whole envelope. The constraint condition of the fuzzy baseline controller is provided in the form of linear matrix inequality（LMI）, and it specifies the satisfactory tracking performances in the absence of uncertainties. The adaptive increment ensures the uniformly ultimately bounded（UUB） predication errors to recover satisfactory responses in the presence of uncertainties. Simulation results show that the proposed controller helps to achieve high-accuracy tracking of airspeed and altitude desirable commands with strong robustness to uncertainties throughout the entire flight envelope.