一种多传感器多目标滤波的时变编队跟踪控制方法及系统

本发明公开了一种多传感器多目标滤波的时变编队跟踪控制方法及系统,涉及多智能体编队跟踪领域。该方法包括获取多个智能体、多个目标和多个传感器之间的通信拓扑关系;各智能体上均携带有传感器;建立所有目标的状态方程、传感器对所有目标的观测模型和各智能体的状态方程.

一种新的光伏发电跟踪控制方法研究

由于传统的光伏发电跟踪控制方法具有电机启动停止频繁、太阳辐射利用率低、系统功耗大等缺点,为此提出了一种超前滞后跟踪控制方法。该方法在每次调节过程中,使电池板法线与太阳入射光线的位置关系为超前、重合、滞后。通过仿真实验证明,在相同的跟踪时间间隔内,相比传统的跟踪控制方法,该方法能够使太阳与电池板位置的最大偏差角减小一半,因此提高了太阳辐射能量的利用。

一种新型3-RRPU并联机构的运动学及鲁棒控制研究

针对现有的三平移并联机构大多正解不唯一、较难实现精确稳定运动控制的问题,提出了一种新的3-RRPU型三平移并联机构,同时研究了机构的运动学、动力学及轨迹跟踪控制方法。首先,运用螺旋理论分析了该机构三平移的原理,进行了驱动输入的选取与论证,对机构平台奇异性、驱动奇异性和支链奇异性进行了分析;其次,运用运动学理论建立了运动学模型,推导了位置正、逆解析解;再次,运用拉格朗日动力学理论建立了机构操作空间的刚体动力学模型;最后,提出了一种基于非线性反馈解耦的自适应滑模轨迹跟踪控制方法,以证明其控制稳定性,并基于动力学模型对空间轨迹跟踪精度和控制力矩进行了仿真分析。研究结果表明:3-RRPU并联机构的位置正解在一般位形下具有唯一性,机构的平台奇异位形和驱动奇异位形少且无支链奇异。该轨迹控制方法可使机构在载荷20 kg、速度0.18 m/s、加速度0.12 m/s 2下,实现0.002 m以内的高精度复杂轨迹跟踪;基于Sigmoid函数的轨迹控制方法还能有效削弱控制力矩的抖振,为实现工业领域高速、高精度、高性能的三平移运动提供了新方法。

机器人跟踪控制方法分析与研究

在近年来的发展中,移动机器人技术得到了一定的发展,其受到了众多科研人员的重视。引动机器人在实践中具有一定的科学意义,其可以在一些未知环境的探究的主体,具有极高的实践价值。跟踪与控制作为机器人运动控制的重点内容,其主要研究目标就是对机器人自身的实际运动速度以及具体的运动方向进行研究,进而保障机器人的运行轨迹有效性。对此本文基于运动模型基础之上,通过分布反演的设计技术以及优化的滑膜的结构控制模式,对于这种不是完全约束之下的机器人进行全局跟踪,并对其具体的控制的稳定性,进行证明,利用现存的相关控制模式的优化手段,提升其整体跟踪的精确度,进而提升整个实验结果的有效性以及正确性。

基于DSP的太阳能跟踪控制系统研究

针对目前太阳能跟踪系统存在的跟踪精度不高,抗干扰能力差的缺点。设计一种以视日运动轨迹跟踪和光电检测跟踪相结合的控制方法对太阳能进行跟踪,并且以DSP为控制器核心芯片的高精度太阳能智能跟踪系统。视日运动轨迹跟踪对太阳进行粗跟踪,再利用光电检测跟踪对太阳进行精确跟踪。实现对太阳的高精度跟踪,并且使系统具有较强的抗干扰和运算能力。

回转窑轮带间隙数据跟踪与调整方法

回转窑筒体与轮带间隙大小直接影响着筒体的变形量,本文通过分析回转窑椭圆度、轮带间隙、滑移量间相应关系,筒体椭圆度对窑衬压力的影响及轮带间隙的跟踪与控制方法,得出热、冷态的跟踪与调整可提高回转窑耐火材料使用周期和运转率。

斜单轴太阳能跟踪装置

提高太阳能发电效率,一方面研发新材料的太阳能板,另一方面提高转换效率;太阳能跟踪装置是解决办法之一。太阳跟踪装置是一种能够保持太阳能电池板随时正对太阳,使光线随时垂直照射太阳能电池板的动力装置,主要功能是实现光伏电池输出功率最大化。斜单轴太阳能跟踪系统主要包括:光强检测模块、控制器、白天黑夜检测模块、步进电机及驱动模块、支架等系统组成。

Optimal Decoupling Control Method and Its Application to a Ball Mill Coal-pulverizing System

Abstract-The conventional optimal tracking control method cannot realize decoupling control of linear systems with a strong coupling property. To solve this problem, in this paper, an optimal decoupling control method is proposed, which can simultaneousiy provide optimal performance. The optimal decoupling controller is composed of an inner-loop decoupling controller and an outer-loop optimal tracking controller. First, by introducing one virtual control variable, the original differential equation on state is converted to a generalized system on output. Then, by introducing the other virtual control variable, and viewing the coupling terms as the measurable disturbances, the generalized system is open-loop decoupled. Finally, for the decoupled system, the optimal tracking control method is used. It is proved that the decoupling control is optimal for a certain performance index. Simulations on a ball mill coal-pulverizing system are conducted. The results show the effectiveness and superiority of the proposed method as compared with the conventional optimal quadratic tracking （LQT） control method.

Ribbon model based path tracking method for autonomous ground vehicles

To resolve the path tracking problem of autonomous ground vehicles,an analysis of existing path tracking methods was carried out and an important conclusion was got.The vehicle-road model is crucial for path following.Based on the conclusion,a new vehicle-road model named "ribbon model" was constructed with consideration of road width and vehicle geometry structure.A new vehicle-road evaluation algorithm was proposed based on this model,and a new path tracking controller including a steering controller and a speed controller was designed.The difficulties of preview distance selection and parameters tuning with speed in the pure following controller are avoided in this controller.To verify the performance of the novel method,simulation and real vehicle experiments were carried out.Experimental results show that the path tracking controller can keep the vehicle in the road running as fast as possible,so it can adjust the control strategy,such as safety,amenity,and rapidity criteria autonomously according to the road situation.This is important for the controller to adapt to different kinds of environments,and can improve the performance of autonomous ground vehicles significantly.

An LMI Method to Robust Iterative Learning Fault-tolerant Guaranteed Cost Control for Batch Processes

Based on an equivalent two-dimensional Fornasini-Marchsini model for a batch process in industry, a closed-loop robust iterative learning fault-tolerant guaranteed cost control scheme is proposed for batch processes with actuator failures. This paper introduces relevant concepts of the fault-tolerant guaranteed cost control and formulates the robust iterative learning reliable guaranteed cost controller (ILRGCC). A significant advantage is that the proposed ILRGCC design method can be used for on-line optimization against batch-to-batch process uncertainties to realize robust tracking of set-point trajectory in time and batch-to-batch sequences. For the convenience of implementation, only measured output errors of current and previous cycles are used to design a synthetic controller for iterative learning control, consisting of dynamic output feedback plus feed-forward control. The proposed controller can not only guarantee the closed-loop convergency along time and cycle sequences but also satisfy the H∞performance level and a cost function with upper bounds for all admissible uncertainties and any actuator failures. Sufficient conditions for the controller solution are derived in terms of linear matrix inequalities (LMIs), and design procedures, which formulate a convex optimization problem with LMI constraints, are presented. An example of injection molding is given to illustrate the effectiveness and advantages of the ILRGCC design approach.

Following Control for a UUV using Temporary Path Generation Guidance

A path following control algorithm for an unmanned underwater vehicle（UUV） using temporary path generation guidance was proposed in this paper.Owing to different initial states of the vehicle,such as position and orientation,the path following control in the horizontal plane may yield a poor performance.To deal with the negative effect induced by initial states,a temporary path generation was presented based on the relationship between the original reference path and the vehicle’s initial states.With different relative positions between the vehicle and reference path,including out of straight lines,as well as inside and outside a circle,the related temporary paths guiding the vehicle to the reference path were able to be generated in real time.The vehicle was guided to steer along the temporary path until it reached the tangent point at the reference path,where the controller was designed using the input-output feedback linearization method.Simulation results demonstrated that the proposed algorithm is effective under the three different situations mentioned above.

Multi-rate tracking controller analysis and design for target tracking systems

As the sampling rates of the inner loop and the outer loop of the target tracking control system are different,a typical digital multi-rate control system was formed.If the traditional single-rate design method was applied,the low sampling rate loop will seriously impact the dynamical characteristic of the system.After analyzing and calculating the impact law of the low sampling rate loop to the bandwidth and the stability of the tracking system,a kind of multi-rate control system design method was introduced.Corresponding to the different sampling rates of the inner loop and the outer loop,the multi-rate control strategy was constituted by a high sampling rate sub-controller and a low sampling rate sub-controller.The two sub-controllers were designed separately and connected by means of the sampling rate converter.The low sampling rate controller determined the response rapidity of the system,while the high sampling rate controller applied additionally effective control outputs to the system during a sampling interval of the low sampling rate controller.With the introduced high and low sampling rates sub-controllers,the tracking control system can achieve the same performance as a single-rate controller with high sampling rate,yet it works under a much lower sampling rate.The simulation and experimental results show the effectiveness of the introduced multi-rate control design method.It reduces the settling time by 5 times and the over shoot by 4 times compared with the PID control.

Direct Adaptive Fuzzy Based Backstepping Control of Semi Strict Feedback Nonlinear Systems

In this paper, a direct adaptive fuzzy tracking control is proposed for a class of uncertain single-input single-output nonlinear semi-strict feedback systems. Based on Takagi-Sugeno type fuzzy systems, a direct adaptive fuzzy tracking controller is developed by using the backstepping approach. The main advantage of the developed method is that for an n-th order system, only one parameter is needed to be adjusted online. It is proven that, under the appropriate assumptions, the developed scheme can achieve that the output system converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. The efficacy of the proposed algorithm is investigated by an illustrative simulation example of one link robot.

COOPERATIVE CONTROL OF MULTI-AGENT MOVING ALONG A SET OF GIVEN CURVES

This paper deals with a cooperative control problem of a team of double-integrator agents moving along a set of given curves with a nominated formation. A projection-tracking design method is proposed for designing the path-following control and the formation protocol, which guarantee forma- tion motion of the multi-agent system under a directed communication graph. Necessary and sufficient conditions of the control gains for solving the coordinated problem are obtained when the directed communication graph has a globally reachable node. Simulation results of formation motion among three agents demonstrate the effectiveness of the proposed approach.