Experimental Study of a Command Governor Adaptive Depth Controller for an Unmanned Underwater Vehicle

Unmanned Underwater Vehicles (UUVs) are increasingly being used in advanced applications that require them to operate in tandem with human divers and around underwater infrastructure and other vehicles. These applications require precise control of the UUVs which is challenging due to the non-linear and time varying nature of the hydrodynamic forces, presence of external disturbances, uncertainties and unexpected changes that can occur within the UUV’s operating environment. Adaptive control has been identified as a promising solution to achieve desired control within such dynamic environments. Nevertheless, adaptive control in its basic form, such as Model Reference Adaptive Control (MRAC) has a trade-off between the adaptation rate and transient performance. Even though, higher adaptation rates produce better performance they can lead to instabilities and actuator fatigue due to high frequency oscillations in the control signal. Command Governor Adaptive Control (CGAC) is a possible solution to achieve better transient performance at low adaptation rates. In this study CGAC has been experimentally validated for depth control of a UUV, which is a unique challenge due to the unavailability of full state measurement and a greater thrust requirement. These in turn leads to additional noise from state estimation, time-delays from input noise filters, higher energy expenditure and susceptibility to saturation. Experimental results show that CGAC is more robust against noise and time-delays and has lower energy expenditure and thruster saturation. In addition, CGAC offers better tracking, disturbance rejection and tolerance to partial thruster failure compared to the MRAC.     

比较原理在多有理数时滞区间系数离散系统的应用

应用多组有理数时滞离散系统的比较原理和频域法,将多组有理数时滞区间系数离散系统化为多组有理数时滞定常离散系统,以判定其时滞无关稳定性,并举例说明了新定理的有效性和实用性。     

基于预测控制的结构振动半主动控制研究

建立了半主动控制系统的理论模型，分析了半主动控制机理，并结合现代控制理论，将预测控制应用于结构半主动控制中，提出了在线预测控制算法，建立了预测模型，并成功的解决了时滞问题，最后作了计算机仿真分析，证明该系统有较好的控制效果。将预测控制思想应用于结构半主动控制中，为结构控制注入了新的思路，通过研究及仿真分析也说明了这种思想是可行的并且具有很大的发展前途。     

MRFD半主动控制系统的时滞与补偿

时滞与补偿是基于磁流变流体阻尼器（Ｍａｇｎｅｔｏｒｈｅｏｌｏｇｉｃａｌ　Ｆｌｕｉｄ　Ｄａｍｐｅｒ，简称ＭＲＦＤ）的半主动控制系统优化设计中的一个重要问题。本文对此进行了研究，并通过计算实例分析了时间滞后与补偿两种情况对控制系统性能的影响，结果表明，当时滞达到１．０ｓ时，ＭＲＦＤ半主动控制系统仍具有一定的控制效果，说明该半主动控制系统是可靠的，其性能要优于完全主动控制系统，并且对时滞补偿以后系统的控制效果得到明显的改善，说明本文所述的时滞补偿方法是有效的。     

Discrete time-delay control of an autonomous underwater vehicle: Theory and experimental results

A discrete time-delay control (DTDC) law for a general six degrees of freedom unsymmetric autonomous underwater vehicle (AUV) is presented. Hydrodynamic parameters like added mass coefficients and drag coefficients, which are generally uncertain, are not required by the controller. This control law cancels the uncertainties in the AUV dynamics by direct estimation of the uncertainties using time-delay estimation technique. The discrete-time version of the time-delay control does not require the derivative of the system state to be measured or estimated, which is required by the continuous-time version of the controller. This particularly provides an advantage over continuous-time controller in terms of computational effort or availability of sensors for measuring state derivatives, i.e., linear and angular accelerations. Implementation issues for practical realization of the controller are discussed. Experiments on a test-bed AUV were conducted in depth, pitch, and yaw degrees of freedom. Results show that the proposed control law performs well in the presence of uncertainties.     

时间延迟对劈裂试验条件下岩石凯塞效应的影响

验证了粗晶花岗岩在劈裂试验条件下凯塞效应的存在性。进行了循环加卸载时间间隔分别为2、15d和45d时岩石的声发射试验,讨论了时间延迟对花岗岩凯塞效应的影响。研究结果表明,前期荷载越接近极限强度,岩石的凯塞效应越不明显;凯塞效应随再次加载时间延迟的增加而削弱,在对花岗岩的声发射试验中观察到15d以后岩石的凯塞效应仍然很显著,45d后凯塞效应基本消失。文中同时对试件与加载设备之间的接触状态对声发射试验结果的影响作了初步的定性分析。     

一种获取Klobuchar电离层改正模型的新方法

介绍了利用松弛搜索法对Klobuchar模型的参数进行拟合，并利用IGS提供的IONEX格式对全球电离层数据进行试验分析，获得了可靠的结果。     

提高河口地区水下地形测量精度的方法

采用配备多元传感器的高精度的无验潮水下地形测量模式、根据测区温度和盐度变化采用声速仪对声速进行实时改正、对系统时延进行准确的改正、正确的测量数据处理等来提高河口地区水下地形测量精度。     

具有小时滞的线性系统次优控制的无滞后转换法

该文研究线性时滞定常系统的次优控制问题。根据无滞后转换法的思想 ,先引入状态向量的增量 ,将其视为附加扰动输入 ,再利用微分方程的逐次逼近法 ,将既含有时滞项又含有超前项的两点边值问题化为既不含时滞项又不含超前项的两点边值问题族。然后 ,把第 N次逼近得到的控制律近似为系统的最优控制律 ,得到次优控制律。并用实例仿真验证了该算法的有效性。该方法可使小时滞系统的迭代次数大大减少 ,因此尤其适合于小时滞系统的次优控制。     

时滞广义时变系统的渐近稳定与镇定

研究了时滞广义时变系统的渐近稳定和镇定问题。首先利用相关不等式,通过建立Lyapunov方程,给出了1个时滞广义时变系统无脉冲、渐近稳定性的充分条件。然后,基于这一工作,利用Riccati方程,进一步研究了时滞广义时变系统的镇定问题。最后,举例说明该结论的可行性。