奇异摄动磁悬浮系统的串级PID控制稳定性研究

研究采用串级PID控制的奇异摄动磁悬浮系统参数稳定范围.首先给出磁悬浮系统的串级PID控制算法与模型,讨论了系统稳定应该遵循的两个条件:一个是慢变子系统PID控制的渐近稳定条件,另一个是快变子系统电流环稳定条件,从而推导出基于串级PID控制的磁悬浮系统所应遵循的参数稳定范围和摄动参数稳定上界.结论说明由于电流环稳定条件与PID稳定条件存在较强耦合,对系统固有参数要求较为严格,导致实际系统调试难度较大.     

具有脉冲模的奇异摄动系统鲁棒稳定分析与仿真研究

本文研究了当摄动参数为零时存在脉冲模的奇异摄动系统的鲁棒稳定性问题，得到了使系统鲁棒稳定的摄动参数上界，给出了一个数值仿真例子。     

磁悬浮系统的精确积分流形控制设计

基于非性磁悬浮系统的奇异摄动特点,研究了一种精确几何积分流形控制方法,使磁悬浮系统的稳态流形能够无误差地跟踪给定设计流形。将复杂奇异摄动磁悬浮系统按照不同时间尺度分解为降阶系统和边界层,以线性降阶系统设计流形为例,推算出稳定慢控制的具体形式并说明参数稳定范围,结合稳定边界层的快控制,最终推算出磁悬浮系统的复合控制规律。仿真和实验均证明该控制算法能够保证降价系统的流形无误差地跟踪给定的设计流形。利用该算法能够使磁悬浮系统无误差地跟踪任意给定的设计流形,从而提高磁悬浮系统的动态特性。输出流形与设计流形的一致性还可以用来简化系统模型,降低磁悬浮车辆系统动力学分析的复杂程度。     

一类奇异摄动时滞不确定系统鲁棒稳定性

为了解决复杂工业过程控制系统由于工程设计时模型描述的不完全性造成的不稳定,针对一类常见的奇异摄动时滞不确定线性系统,研究了其鲁棒稳定性问题。通过对系统各参数日。范数有界摄动分析,获得了系统时滞有关稳定的充分条件。给出了保证系统稳定的时滞τ及奇异摄动参数ε的上界,在工程设计中为复杂工业过程控制系统稳定边界的判别提供了简单有效的手段。应用实例表明了奇异摄动时滞不确定系统鲁棒稳定性充分条件使用的方便性。     

奇异摄动系统鲁棒镇定问题

讨论了确定与不确定奇异摄动系统的稳定性问题。首先给出了确定系统稳定及不确定系统鲁棒稳定的条件,同时给出摄动参数的稳定上界,其次,对不稳定系统,给出了状态反馈可镇定的条件及控制器的求解。这些条件均可由MATLAB中的求解器求解。最后,数值实例验证了该方法的可行性和有效性。     

无轴承扰动补偿悬浮系统的稳定性分析与验证

目前, 无轴承磁悬浮系统多采用PID等经典控制策略, 然而由于外界扰动、参数摄动等诸多原因, 难以实现高性能的悬浮控制. 本文针对上述问题, 通过在传统PID悬浮控制系统中增加扩张状态观测器, 对悬浮力扰动进行实时补偿, 从而建立基于扩张状态观测器的无轴承悬浮控制系统. 其中, 根据扩张状态观测器对综合扰动进行观测的基本原理, 构建了系统数学模型, 并对其稳定性进行了分析. 在此基础上, 对观测器参数调节的选取原则和稳定域的参考范围进行了理论分析, 从而提出了一套无轴承悬浮控制系统参数整定方案. 此外, 本文还结合模型中主要参数的物理意义, 进一步完善了非线性扩张状态观测器参数的设定原则. 最后, 通过仿真验证了扩张状态观测器对无轴承悬浮系统扰动抑制的作用, 以及所述参数整定方案的正确性.     

基于超稳定性的混合磁浮系统控制器设计

针对电磁永磁混合型EMS磁浮列车悬浮控制中因参数摄动引起的不确定性问题,以POPOV超稳定理论为基础设计了模型参考自适应悬浮控制器。根据系统非线性模型和悬浮控制的性能指标要求确定了系统的参考模型。为了满足POPOV定理的条件,设计了前向补偿器,得到了比例积分自适应律。结合混合系统实际的控制特点对自适应律进行了简化并分析了其稳定性。仿真与实验结果表明,采用自适应机制后,系统的动态响应过程平稳,在间隙阶跃时表现出稳健性,从而能改善磁悬浮系统的性能。     

磁悬浮系统的双环自适应控制器设计与仿真

研究了基于机械和电气两种结构的磁悬浮系统的自适应控制方案，实现了双环磁悬浮控制系统的稳定悬浮。根据电磁铁动力学方程和电磁线圈的电压平衡方程，建立了磁悬浮系统基本模型。对系统中的电气部分和机械部分采用不同的控制方法：电气部分采用模型参考自适应控制的方法，加快电流上升的速度，使电流环性能达到设定指标；机械部分简化模型建立在电气自适应控制的基础上，针对系统参数的慢变特点而采用自校正控制方法，给出了能够自动跟踪系统参数，尤其是悬浮质量变化的稳定悬浮自适应控制算法。仿真和实验结果均证明这种控制方法能够使电流环快速跟踪给定信号，保证此悬浮系统能够很好地适应悬浮质量发生突变的情况，具有一定的实用价值。     

磁悬浮直线电动机H∞鲁棒控制器及其蚁群算法优化设计

磁悬浮永磁直线电动机在结构上取消了机械传动的中间环节,具有磁悬浮和直接驱动的特点.针对磁悬浮永磁直线电动机由于悬浮高度不同,在磁悬浮和直接驱动运行过程中存在自身参数摄动和外界干扰突出的问题,设计基于蚁群算法的H_∞鲁棒控制器,以保证系统对这些不确定性具有良好的鲁棒性.建立包含磁悬浮永磁直线电动机参数摄动和外界干扰的状态空间模型.推导出无须满足正则条件约束的Riccati不等式,给出H_∞鲁棒控制器的解析表达式.针对H_∞控制器中加权矩阵选择的困难,采用蚁群算法对加权矩阵进行寻优.最后在MATLAB环境下对控制系统进行仿真研究.仿真实验表明基于蚁群算法的磁悬浮永磁直线电动机控制系统的性能比优化前有较明显改善,说明该方法的可行性和有效性.     

一类不确定时滞网络控制系统的鲁棒容错保成本控制

针对一类具有时滞且模型中具有参数摄动的网络控制系统,研究在执行器发生故障的情况下系统具有鲁棒保成本可靠控制器设计问题。根据Lyapunov稳定性理论和容错控制理论得到满足系统存在鲁棒保成本控制器的一个矩阵不等式,进而将这个矩阵不等式转化为线性矩阵不等式,从而得出系统渐近稳定的充分条件和系统的保成本上界。最后用实例仿真证明结论的有效性。     

D-stability problem of discrete singularly perturbed systems

The D-stability problem of discrete time-delay singularly perturbed systems is examined. A two-stage method is first developed to analyse the stability relationship between a discrete time-delay singularly perturbed system and its corresponding slow and fast subsystems. Finally, the upper bound of a singular perturbation parameter is derived such that D-stability of the slow and fast subsystems can imply that of the original system, provided that the singular perturbation parameter is within this bound. This fact enables us to investigate the D-stability of the original system by establishing that of its corresponding slow and fast subsystems.     

Stability constraints of active magnetic bearing control systems

Direct Lyapunov stability method is employed to analyse the closed-loop stability of an electromagnetically suspended rotor system in which non-linearity and singular perturbation nature are embedded. Five explicit sets of stability constraints are proposed so that the state feedback loop is not over-designed. Under impact of modeling inaccuracy, due to neglected higher-order terms, stability conditions for equilibrium point, slow-mode manifold and boundary layer are studied. In addition, the singular perturbation order-reduction technique is used to simplify the feedback loop and reduce the order of a state feedback controller. The stability margin can be numerically evaluated as long as the upper bound of the singular perturbation parameter is available. The proposed state feedback controller is verified by intensive computer simulations such that superior performance in terms of stiffness, rise time and overshoot is illustrated, in comparison to output feedback law and deadbeat control. The reported state feedback loop not only stabilizes the inherently unstable open-loop system, but also preserves the robustness with respect to the parasitic parameter variation and modeling error due to neglected higher-order terms of magnetic control force.     

On the model-based networked control for singularly perturbed systems with nonlinear uncertainties

In this paper, the model-based networked control is addressed for a class of singularly perturbed control systems with nonlinear uncertainties. An approximate linear slow and fast control system of the plant, which can be obtained by omitting the nonlinear uncertainties, are used as a model to estimate the state behavior of the plant between transmission times. The stability of model-based networked control systems is investigated under the assumption that the controller/actuator is updated with the sensor information at constant time intervals. It is shown that there exists the allowable upper bound of the singular perturbation parameter such that the model-based networked control system is globally exponentially stable.     

A new parameter estimate in singular perturbations

A new upper bound is obtained for the singular perturbation parameter of an asymptotically stable singularly perturbed system. General time-invariant systems with a single small parameter are considered. The paper employs a Riccati equation whose solution is known to facilitate the exact decoupling of fast and slow dynamics. An application of the Brouwer fixed point theorem to the Riccati equation and of Liapunov's direct method to the fast and slow subsystems results in the desired upper bound. Computation of the estimate requires only the solution of two Liapunov matrix equations.     

Robustness of dynamic output feedback control for singular perturbation systems

The problem of the robustness of dynamic output feedback control for singular perturbation systems is investigated. The solution to this problem is reduced to the simultaneous design of static output feedback controllers for the fast subsystem and the so-called auxiliary system of the slow subsystem. Some conditions are proposed to ensure the robustness of the actual closed-loop system. The exact upper bound of the parasitic parameter for the controlled system is also determined. Finally, an actual model which failed in dynamic output feedback control in [4] is reexamined successfully here.     

Singular perturbation approximation of balanced systems

This paper relates the singular perturbation approximation technique for model reduction to the direct truncation technique if the system model to be reduced is stable, minimal and internally balanced. It shows that these two methods constitute two fully compatible model-reduction techniques for a continuous-time system, and both methods yield a stable, minimal and internally balanced reduced-order system with the same L_∞-norm error bound on the reduction. Although the upper bound for both reductions is the same, the direct truncation method tends to have smaller errors at high frequencies and larger errors at low frequencies, while the singular perturbation approximation method will display the opposite character. It also shows that a certain bilinear mapping not only preserves the balanced structure between a continuous-time system and an associated discrete-time system, but also preserves the slow singular perturbation approximation structure. Hence the continuous-time results on the singular perturbation approximation of balanced systems are easily extended to the discrete-time case. Examples are used to show the compatibility and the differences in the two reduction techniques for a balanced system     

Robust stabilization of a class of singularly perturbed discretebilinear systems

This paper presents two kinds of robust controllers for stabilizing singularly perturbed discrete bilinear systems. The first one is an ε-dependent controller that stabilizes the closed-loop system for all ε∈(0, ε₀*), where ε₀ * is the prespecified upper bound of the singular perturbation parameter. The second one is an ε-independent controller, which is able to stabilize the system in the entire state space for all ε∈(0, ε*), where ε* is the exact upper ε-bound. The ε* can be calculated by the critical stability criterion once the robust controller is determined. An example is presented to illustrate the proposed schemes