A Cascade Approach for Global Trajectory Tracking Control of Underactuated AUVs

A global trajectory tracking controller is presented for underactuated AUVs with only surge force and yaw moment in the horizontal plane. A transformation is introduced to represent the tracking error system into a cascade form. The global and uniform asymptotic stabilization problem of the resulting cascade system is reduced to the stabilization problem of two subsystems by use of the cascade approach. For the stabilization of the subsystem involving the yaw moment, a control law is proposed based on the feedback linearization method. Another subsystem is stabilized by designing a fuzzy sliding mode controller which can offer a systematical means of constructing a set of shrinking-span and dilating-span membership functions. In order to demonstrate the practicability of the proposed controller, control constraints, parameter uncertainties, and external disturbances are considered according to practical situation of AUVs. Simulation results show very good tracking performance and robustness of the proposed control schemes.

Robust visual tracking algorithm based on Monte Carlo approach with integrated attributes

To improve the reliability and accuracy of visual tracker,a robust visual tracking algorithm based on multi-cues fusion under Bayesian framework is proposed.The weighed color and texture cues of the object are applied to describe the moving object.An adjustable observation model is incorporated into particle filtering,which utilizes the properties of particle filter for coping with non-linear,non-Gaussian assumption and the ability to predict the position of the moving object in a cluttered environment and two complementary attributes are employed to estimate the matching similarity dynamically in term of the likelihood ratio factors;furthermore tunes the weight values according to the confidence map of the color and texture feature on-line adaptively to reconfigure the optimal observation likelihood model,which ensured attaining the maximum likelihood ratio in the tracking scenario even if in the situations where the object is occluded or illumination,pose and scale are time-variant.The experimental result shows that the algorithm can track a moving object accurately while the reliability of tracking in a challenging case is validated in the experimentation.

AN EFFECTIVE APPROACH TO SHORT-AND MEDIUM-RANGE PREDICTION OF TRACK AND INTENSITY OF TROPICAL CYCLONES

An objective prediction approach to the 6 h- 144 h track and intensity of tropical cyclones over the northwestern Pacific is proposed. On the basis of both analog deviation technique and completed historical sample curve library, the track or intensity prediction for each forecast period are determined respectively through the optimum weighted superposition of displacement or intensity change of the cases, with different number and weighted coefficient corresponding to minimal analog deviation, from different tropical cyclone or different stage of the same cyclone. so that the prediction results for both forecast period and entire process are optimal. The verification suggests that the approach exhibits better forecast performance than other previous forecast methods by having remarkable decreasing forecast errors in short- and medium-range forecast of both track and intensity,and that the approach can also be used to predict effectively the decay process of tropical cyclone and is able to predict anomalous track and tropical depression.

A NEW MODELING AND FILTERING APPROACH FOR TRACKING MANEUVERING TARGETS

A new modeling and filtering approach for tracking maneuvering targets is presented in thispaper.The approach,which makes optimal estimate for the model With the random variable possible,depends on random step modeling of target maneuvers.In the new model,the unknown targetacceleration is treated as a random variable and then estimated directly.A detector is designed tofind out the target maneuvers and the estimation algorithm will be restarted when the maneuvers oc-cur.Combination of three-dimention Kalman filter with a detector forms a tracker for maneuveringtargets.The new tracking scheme is easy to implement and its capability is illustrated in two trackingexamples in which the new approach is compared with Mooses’on the performance.

Parametric approach to track following control of FFSM

A robust task space tracking scheme is proposed for the free-flying space manipulator system. The dynamic equations of the system are derived via the law of momentum conservation, and then a linear state space representation is formulated by local linearization. A parametric approach is applied by using the eigenstructure assignment theory and the model reference method. A feedback stabilizing controller and a feedforward compensation controller are built based on the approach. Then an optimization procedure is followed after that to obtain the desired requirement and characteristics. Simulation results are presented to show the effectiveness of the proposed method.

China's Economy Approaching the World Economic Track

The year 1993 was the fifteenth of China’s reform and opening to the outside. Its economy sustained double digit growth for two years running. Last year, domestic GNP was RMB3,138 billion, a 13.4 percent increase compared with the previous year’s 13.2 percent.

Robust parametric approach for tracking control of an air-breathing hypersonic cruise vehicle

To realize the stabilization and the tracking of flight control for an air-breathing hypersonic cruise vehicle, the linearization of the longitudinal model under trimmed cruise condition is processed firstly. Furthermore, the flight control problem is formulated as a robust model tracking control problem. And then, based on the robust parametric approach, eigenstructure assignment and reference model tracking theory, a parametric optimization method for robust controller design is presented. The simulation results show the effectiveness of the proposed approach.

煤矿履带式定向钻机路径规划算法

煤矿履带式定向钻机路径规划过程中存在机身体积约束和实际场景下的行驶效率需求,而常用的A^(*)算法搜索速度慢、冗余节点多,且规划路径贴近障碍物、平滑性较差。提出一种以改进A^(*)算法规划全局路径、融合动态窗口法(DWA)规划局部路径的煤矿履带式定向钻机路径规划算法。考虑定向钻机尺寸影响,在传统A^(*)算法中引入安全扩展策略,即在定向钻机和巷道壁、障碍物之间加入安全距离约束,以提高规划路径的安全性;对传统A^(*)算法的启发函数进行自适应权重优化,同时将父节点的影响加入到启发函数中,以提高全局路径搜索效率;利用障碍物检测原理对经上述改进后的A^(*)算法规划路径剔除冗余节点,并使用分段三次Hermite插值进行二次平滑处理,得到全局最优路径。将改进A^(*)算法与DWA融合,进行煤矿井下定向钻机路径规划。利用Matlab对不同工况环境下定向钻机路径规划算法进行仿真对比分析,结果表明:与Dijkstra算法和传统A^(*)算法相比,改进A^(*)算法在保证安全距离的前提下,加快了搜索速度,搜索时间分别平均减少88.5%和63.2%,且在一定程度上缩短了规划路径的长度,路径更加平滑;改进A^(*)算法与DWA融合算法可有效躲避改进A^(*)算法规划路径上的未知障碍物,路径长度较PRM算法和RRT^(*)算法规划的路径分别平均减小5.5%和2.9%。

基于分数阶滑模控制的无人机轨迹跟踪控制器设计

四旋翼无人机在农业、工业和国防等领域广泛应用,但其复杂的系统特性和对扰动的敏感性使得控制变得困难。首先,考虑分数阶方法具有良好的鲁棒性以及调节灵活性的优点,将整数阶积分滑模面和改进的分数阶指数趋近律相结合,设计出了一种新的分数阶积分滑模控制器。然后,将所设计的分数阶积分滑模控制器应用于四旋翼无人机轨迹跟踪控制问题。仿真结果表明,所提控制器作用下的四旋翼无人机进行轨迹跟踪时响应速度快、无超调,且对外界干扰具有较强的鲁棒性。

基于干扰观测器的四旋翼无人机轨迹跟踪控制

针对四旋翼无人机轨迹跟踪控制过程中易受多源外界干扰影响的问题,为了进一步提升其控制精度和抗干扰性能,该文使用了一种基于指数收敛干扰观测器的双幂次趋近率滑模控制策略。首先,基于牛顿-欧拉方法建立了四旋翼无人机数学模型,并将四旋翼无人机控制系统分为外环位置环和内环姿态环的双回路控制结构;其次,分别在位置子系统和姿态子系统采用了滑模控制方案,并重点针对姿态环设计了基于双幂次趋近率的滑模控制器;最后,设计了一种指数收敛干扰观测器,对四旋翼无人机所受多源外界干扰进行实时观测和补偿。与传统内外环控制结构的PD控制方案相比,仿真实验验证了所提控制策略具有更优的动态响应性能和更高的控制精度,且抗干扰能力得到极大增强。

STK simulation design for satellite formation tracking mission with bidirectional communication

The problem of satellite formation tracking control is studied by using the tool, the satellite tool kit （STK ） software.To fight against gravitational perturbation rejection, a sliding mode controller for each satellite is proposed to accomplish the orbit trace and is then verified by the STK.For the purpose of accomplishing the formation tracking mission with bidirectional communication in STK,a time-share orderly calling plug-in is designed by C ＋＋,which gives solutions to the problems of the monopolization of computing resource and no return of the satellite identifier in the calculation center. The effectiveness of the decoupling approach is tested and verified by the STK.The simulation results obtained by the STK are more meaningful than those obtained by Matlab.

轮式移动机器人沿相同目标轨迹的编队运动控制

为使轮式移动机器人编队能在某些特殊地形中沿着狭长路线顺利地执行任务,需要通过控制实现所有移动机器人沿着相同的路径运动。为了实现这一编队运动控制任务,本研究采用了领航跟随法的控制策略。首先,将目标路径曲线设计成动态跟踪目标的形式,通过动态跟踪目标中的相对曲率实现领航者对目标曲线精确跟踪。然后,找出领航机器人与跟随机器人的相对角度和目标轨迹曲线之间的关系,采用双闭环控制器设计思路实现领航者和跟随者沿相同轨迹运动。在双闭环控制器中,外环采用直接Lyapunov函数方法构造姿态控制器,内环使用时变障碍Lyapunov函数法构造力矩控制器。最后,基于Matlab进行数值仿真,验证所提控制策略的有效性和鲁棒性。

A new nonlinear output tracking controller via output-feedback

In this paper, the output tracking control is investigated for a class of nonlinear systems when only output is available for feedback. Based on the multivariable analog of circle criterion, an observer is first introduced. Then, the observer-based output tracking controller is constructively designed by using the integral backstepping approach together with completing square. It is shown that, under relatively mild conditions, all the closed-loop signals are uniformly bounded. Meanwhile the system output asymptotically tracks the desired output. A simulation example is given to illustrate the effectiveness of the theoretical results.

Optimal tracking control for linear time-delay large-scale systems with persistent disturbances

An optimal tracking control （OTC） problem for linear time-delay large-scale systems affected by external persistent disturbances is investigated. Based on the internal model principle, a disturbance compensator is constructed. The system with persistent disturbances is transformed into an augmented system without persistent disturbances. The original OTC problem of linear time-delay system is transformed into a sequence of linear two- point boundary value （TPBV） problems by introducing a sensitivity parameter and expanding Maclaurin series around it. By solving an OTC law of the augmented system, the OTC law of the original system is obtained. A numerical simulation is provided to illustrate the effectiveness of the proposed method.

Optimal tracking control for nonlinear large-scale systems with persistent disturbances

This paper studies the optimal control with zero steady-state error problem for nonlinear large-scale systems affected by external persistent disturbances.The nonlinear large-scale system is transformed into N nonlinear subsystems with interconnect terms.Based on the internal model principle,a disturbance compensator is constructed such that the ith subsystem with external persistent disturbances is transformed into an augmented subsystem without disturbances.According to the sensitivity approach,the optimal tracking control law for the ith nonlinear subsystem can be obtained.The optimal tracking control law for the nonlinear large-scale systems can be obtained.A numerical simulation shows that the method is effective.

Dynamic responses of bridge-approach embankment transition section of high-speed rail

Based on the vehicle track coupling dynamics theory, a new spatial dynamic numerical model of vehicle track subgrade coupling system was established considering the interaction among different structural layers in the subgrade system. The dynamic responses of the coupled system were analyzed when the speed of train was 350 km/h and the transition was filled with graded broken stones mixed with 5% cement. The results indicate that the setting form of bridge-approach embankment section has little effect on the dynamic responses, thus designers can choose it on account of the practical circumstances. Because the location about 5 m from the bridge abutment has the greatest deformation, the stiffness within 0 5 m zone behind the abutment should be specially designed. The results of the study from vehicle track dynamics show that the maximum allowable track deflection angle should be 0.09% and the coefficient of subgrade reaction(K30) is greater than 190 MPa within the 0 5 m zone behind the abutment and greater than 150 MPa in other zones.

Approximate Optimal Tracking Control for Near-Surface AUVs with Wave Disturbances

This paper considers the optimal trajectory tracking control problem for near-surface autonomous underwater vehicles(AUVs) in the presence of wave disturbances. An approximate optimal tracking control(AOTC) approach is proposed. Firstly, a six-degrees-of-freedom(six-DOF) AUV model with its body-fixed coordinate system is decoupled and simplified and then a nonlinear control model of AUVs in the vertical plane is given. Also, an exosystem model of wave disturbances is constructed based on Hirom approximation formula. Secondly, the time-parameterized desired trajectory which is tracked by the AUV's system is represented by the exosystem. Then, the coupled two-point boundary value(TPBV) problem of optimal tracking control for AUVs is derived from the theory of quadratic optimal control. By using a recently developed successive approximation approach to construct sequences, the coupled TPBV problem is transformed into a problem of solving two decoupled linear differential sequences of state vectors and adjoint vectors. By iteratively solving the two equation sequences, the AOTC law is obtained, which consists of a nonlinear optimal feedback item, an expected output tracking item, a feedforward disturbances rejection item, and a nonlinear compensatory term. Furthermore, a wave disturbances observer model is designed in order to solve the physically realizable problem. Simulation is carried out by using the Remote Environmental Unit(REMUS) AUV model to demonstrate the effectiveness of the proposed algorithm.

Technical Note on a Track-pattern-based Model for Predicting Seasonal Tropical Cyclone Activity over the Western North Pacific

Recently, the National Typhoon Center （NTC） at the Korea Meteorological Administration launched a track-pattern-based model that predicts the horizontal distribution of tropical cyclone （TC） track density from June to October. This model is the first approach to target seasonal TC track clusters covering the entire western North Pacific （WNP） basin, and may represent a milestone for seasonal TC forecasting, using a simple statistical method that can be applied at weather operation centers. In this note, we describe the procedure of the track-pattern-based model with brief technical background to provide practical information on the use and operation of the model. The model comprises three major steps. First, long-term data of WNP TC tracks reveal seven climatological track clusters. Second, the TC counts for each cluster are predicted using a hybrid statistical-dynamical method, using the seasonal prediction of large-scale environments. Third, the final forecast map of track density is constructed by merging the spatial probabilities of the seven clusters and applying necessary bias corrections. Although the model is developed to issue the seasonal forecast in mid-May, it can be applied to alternative dates and target seasons following the procedure described in this note. Work continues on establishing an automatic system for this model at the NTC.

基于AP-DWA优化的无人机动态避障航迹规划

针对传统动态窗口法在无人机航迹规划中存在无人机绕飞障碍物较远,只针对静态障碍物等问题,提出一种结合人工势场的优化动态窗口法。通过对障碍物坐标进行与时间相关的参数化,以实现动态障碍物的构建。根据人工势场法构造环境势场,并以仿真航迹末段势场值替换传统动态窗口法中的障碍物距离评价指标,避免无人机远距离绕飞障碍物。根据障碍物移动速度计算障碍物动能,将障碍物动能转化为障碍物移动方向上斥力势场,避免无人机与动态障碍物冲突。通过不同环境下的航迹规划实验表明,在静态环境下,所提算法缩短了航迹长度,提高了航迹经济性;在动态环境下,方法可以有效进行动态障碍物的避障,航迹可操作性高。

基于改进指数幂趋近律的机械臂轨迹跟踪控制

针对机械臂轨迹跟踪系统在指数趋近律控制下产生的响应不迅速以及控制过程中系统抖颤等问题,给出了一个改进指数幂趋近律。首先通过在传统指数趋近律的恒速率项中导入新型分段函数来改善控制系统的响应,接着再在指数项中引入系统状态变量来抑制系统的抖颤现象。为了降低模型偏差和不确定干扰而对机械臂系统的影响,采用趋近律结合机械臂动力学模型的方式设计滑模控制律,并使用模糊算法进行对模型偏差和不确定干扰的自适应预测和在线补偿。最后,根据李雅普诺夫定理,证明了闭环控制过程的可靠性。仿真结果表明:所提供的控制方式不仅完成了对机械臂轨迹的准确追踪控制,同时提高了控制系统的工作速度,并有效控制了抖颤现象。