共查询到19条相似文献,搜索用时 203 毫秒
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基于反步法的高超音速飞机纵向逆飞行控制 总被引:14,自引:0,他引:14
针对高超音速飞机纵向运动的数学模型具有严重非线性、不稳定、多变量耦合以及不确定的气动参数等特点,采用非线性动态逆控制与反步法相结合的方法为其设计飞行控制系统.该系统以非线性动态逆控制作为控制内环,通过将非线性的多输入多输出系统进行精确线性化,解除了多变量之间的强耦合关系;并以反步法作为控制外环.保证系统的全局稳定以及抑制不确定参数的扰动.仿真研究表明.所提出的控制方法可以确保高超音速飞机的纵向稳定性.改善其飞行品质. 相似文献
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分析了电力系统非线性的数学性质,指出电力系统非线性是一种有界非线性.在此基础上,将反馈主导方法(feedback domination method,FDM)引入多机电力系统非线性控制.该方法与反馈线性化方法不同;反馈线性化方法是通过反馈将原非线性系统转化为线性系统,反馈主导方法则是通过反馈将原非线性系统转换为特定形式的非线性系统,该特定形式的非线性系统的动态由反馈引入的非线性部分主导.以多机系统非线性汽门控制问题为例,设计了反馈主导非线性汽门控制器,该控制器仅包含本地量测量,易于实现.数值仿真表明,多机系统反馈主导非线性汽门控制器可显著提高电力系统暂态稳定性. 相似文献
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为实现自行车机器人的平稳直线行驶,论证了无机械辅助结构、仅靠调整车把维持自平衡的后驱自行车机器人动力学建模、姿态控制、系统仿真及实物样机实验.针对具有典型对称性欠驱动非完整约束的自行车机器人系统难于实现平衡控制问题,首先基于拉格朗日方法分析系统力学机理,建立简化动力学模型.然后基于部分反馈线性化原理,对车体横滚角与转把力矩的欠驱动子系统进行线性化处理及模糊自适应控制.仿真及实验结果表明,有效地实现了自行车机器人直线运动自平衡控制,为进一步开展自行车机器人以及其他欠驱动系统平衡运动控制奠定理论基础. 相似文献
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一类不确定延迟系统的鲁棒自适应控制 总被引:1,自引:0,他引:1
针对一类不确定的延迟系统,提出一种鲁棒的模型参考自适应控制设计方案.它不同于以往将所有延迟部分转化为系统的未建模动态的方案,该方案只是把延迟偏离标称值的扰动转化为系统的未建模动态,而将能够获得的延迟标称值信息加入系统的建模部分,从而使系统的建模更为精确.同时,研究了这种其建模部分含有延迟的系统的稳定性和鲁棒性.仿真结果验证了该方案的有效性. 相似文献
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Three control algorithms are developed to stabilize an underactuated two-link robot at its unstable inverted position. The well-known linear quadratic regulator is described first. Next, a stabilization control law using partial feedback linearization is developed where the reference trajectories for the linearized degrees of freedom are designed by analyzing the zero dynamics. The linear quadratic regulator and partial feedback linearization control algorithms both assume an exact dynamic model. To deal with modeling inaccuracies, a robust controller using sliding mode concepts is supplied. Numerical simulations are presented. © 1998 John Wiley & Sons, Inc. 相似文献
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Dynamic Balance Control Based on an Adaptive Gain-scheduled Backstepping Scheme for Power-line Inspection Robots
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Songyi Dian Lin Chen Son Hoang Ming Pu Junyong Liu 《IEEE/CAA Journal of Automatica Sinica》2019,6(1):198-208
This paper presents an adaptive gain-scheduled backstepping control (AGSBC) scheme for the balance control of an underactuated mechanical power-line inspection (PLI) robotic system with two degrees of freedom and a single control input. First, a nonlinear dynamic model of the balance adjustment process of the PLI robot is constructed, and then the model is linearized at a nominal equilibrium point to overcome the computational infeasibility of the conventional backstepping technique. Second, to solve generalized stabilization control issue for underactuated systems with multiple equilibrium points, an equilibrium manifold linearized model is developed using a scheduling variable, and then a gain-scheduled backstepping control (GSBC) scheme for expanding the operational area of the controlled system is constructed. Finally, an adaptive mechanism is proposed to counteract the impact of external disturbances. The robust stability of the closed-loop system is ensured by Lyapunov theorem. Simulation results demonstrate the effectiveness and high performance of the proposed scheme compared with other control schemes. 相似文献
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This paper addresses a three-dimensional (3D) path following control problem for underactuated autonomous underwater vehicle (AUV) subject to both internal and external uncertainties. A two-layered framework synthesizing the 3D guidance law and heuristic fuzzy control is proposed to achieve robust adaptive following along a predefined path. In the first layer, a 3D guidance controller for underactuated AUV is presented to guarantee the stability of path following in the kinematics stage. In the second layer, a heuristic adaptive fuzzy algorithm based on the guidance command and feedback linearization Proportional-Integral-Derivative (PID) controller is developed in the dynamics stage to account for the nonlinear dynamics and system uncertainties, including inaccuracy modelling parameters and time-varying environmental disturbances. Furthermore, the sensitivity analysis of the heuristic fuzzy controller is presented. Against most existing methods for 3D path following, the proposed robust fuzzy control scheme reduces the design and implementation costs of complicated dynamics controller, and relaxes the knowledge of the accuracy dynamics modelling and environmental disturbances. Finally, numerical simulation results validate the effectiveness of the proposed control framework and illustrate the outperformance of the proposed controller as well. 相似文献
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This study addresses control‐oriented modeling and control design of tensegrity–membrane systems. Lagrange's method is used to develop a control‐oriented model for a generic system. The equations of motion are expressed as a set of differential‐algebraic equations (DAEs). For control design, the DAEs are converted into second‐order ordinary differential equations (ODEs) based on coordinate partitioning and coordinate mapping. Because the number of inputs is less than the number of state variables, the system belongs to the class of underactuated nonlinear systems. A nonlinear adaptive controller based on the collocated partial feedback linearization (PFL) technique is designed for system deployment. The stability of the closed‐loop system for the actuated coordinates is studied using the Lyapunov stability theory. Because of system complexity, numerical tests are used to conduct stability analysis for the dynamics of the underactuated coordinates, which represents the system's zero dynamics. For the tensegrity–membrane systems studied in this work, analytical proof of zero dynamics stability remains an open theoretical problem. An H∞ controller is implemented for rapid stabilization of the system at the final deployed configuration. Simulations are conducted to test the performance of the two controllers. The simulation results are presented and discussed in detail. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
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Reyhanoglu M. van der Schaft A. Mcclamroch N.H. Kolmanovsky I. 《Automatic Control, IEEE Transactions on》1999,44(9):1663-1671
This paper presents a theoretical framework for the dynamics and control of underactuated mechanical systems, defined as systems with fewer inputs than degrees of freedom. Control system formulation of underactuated mechanical systems is addressed and a class of underactuated systems characterized by nonintegrable dynamics relations is identified. Controllability and stabilizability results are derived for this class of underactuated systems. Examples are included to illustrate the results; these examples are of underactuated mechanical systems that are not linearly controllable or smoothly stabilizable 相似文献
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Stabilization and Tracking Control of X‐Z Inverted Pendulum Using Flatness Based Active Disturbance Rejection Control
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A flatness based robust active disturbance rejection control technique scheme with tracking differentiator is proposed for the problem of stabilization and tracking control of the X‐Z inverted pendulum known as a special underactuated, non‐feedback linearizable mechanical system. The differential parameterization on the basis of linearizing the system around an arbitrary equilibrium decouples the underactuated system into two lower order systems, resulting in two lower‐order extended state observers. Using a tracking differentiator to arrange the transient process utilizes the problem of stabilization and tracking control and gives a relatively small initial estimation error, which enlarges the range of the controller parameters. The convincing analysis of the proposed modified linear extended state observer is presented to show its high effectiveness on estimating the states and the extended states known as the total disturbances consisting of the unknown external disturbances and the nonlinearities neglected by the linearization. Simulation results on the stabilization and tracking control of the X‐Z inverted pendulum, including a comparative simulation with an all‐state‐feedback sliding mode controller are presented to show the advantages of the combination of flatness and active disturbance rejection control techniques. 相似文献
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《Advanced Robotics》2013,27(15):1999-2014
This paper deals with a control approach dedicated to stable limit cycle generation for underactuated mechanical systems. The proposed approach is based on partial nonlinear feedback linearization and dynamic control for optimal periodic reference trajectories tracking. The computation of the reference trajectories is performed in order to optimize the behavior of the whole dynamics of the system and especially its zero dynamics at the end of each cycle. Simulation results as well as experiments show the performance and the efficiency of the proposed control scheme. 相似文献
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一类欠驱动系统的控制方法综述 总被引:2,自引:0,他引:2
近年来欠驱动系统已经成为机器人与自动控制领域的研究热点之一,本文对一类欠驱动系统(欠驱动连杆系统)的控制方法的研究状况进行了综述.首先给出了欠驱动系统的动力学模型,并介绍了2种基本控制模式;随后,对其主要的控制方法,包括最优控制方法、运动规划法、部分反馈线性化方法、能量(无源)方法、变量降维法、分级控制设计方法及智能控制方法,展开了分析与讨论;在此基础之上,对欠驱动连杆控制系统设计存在的抗干扰性、实用性及快速性等主要问题进行了简要分析,并就今后的研究方向进行了展望,如鲁棒策略、饱和控制与有限时间控制等. 相似文献