Control method based on DRFNN sliding mode for multifunctional flexible multistate switch

To address the low accuracy and stability when applying classical control theory in distribution networks with distributed generation,a control method involving flexible multistate switches(FMSs)is proposed in this study.This approach is based on an improved double-loop recursive fuzzy neural network(DRFNN)sliding mode,which is intended to stably achieve multiterminal power interaction and adaptive arc suppression for single-phase ground faults.First,an improved DRFNN sliding mode control(SMC)method is proposed to overcome the chattering and transient overshoot inherent in the classical SMC and reduce the reliance on a precise mathematical model of the control system.To improve the robustness of the system,an adaptive parameter-adjustment strategy for the DRFNN is designed,where its dynamic mapping capabilities are leveraged to improve the transient compensation control.Additionally,a quasi-continuous second-order sliding mode controller with a calculus-driven sliding mode surface is developed to improve the current monitoring accuracy and enhance the system stability.The stability of the proposed method and the convergence of the network parameters are verified using the Lyapunov theorem.A simulation model of the three-port FMS with its control system is constructed in MATLAB/Simulink.The simulation result confirms the feasibility and effectiveness of the proposed control strategy based on a comparative analysis.

Design of Wind Turbine Torque Controller with Second‑Order Integral Sliding Mode Based on VGWO Algorithm

A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbine.Firstly,according to the uncertainty model of wind turbine,a SOISMC torque controller with fast convergence speed,strong robustness and effective chattering reduction is designed,which ensures that the torque controller can effectively track the reference speed.Secondly,given the strong local search ability of the grey wolf optimization(GWO)and the fast convergence speed and strong global search ability of the particle swarm optimization(PSO),the speed component of PSO is introduced into GWO,and VGWO with fast convergence speed,high solution accuracy and strong global search ability is used to optimize the parameters of wind turbine torque controller.Finally,the simulation is implemented based on Simulink/SimPowerSystem.The results demonstrate the effectiveness of the proposed strategy under both external disturbance and model uncertainty.

Stabilization of CSTR w ith Self-tuning Sliding Mode Controller Using T-S Fuzzy Linearization

A self-tuning reaching law based sliding mode control(SMC)theory is proposed to stabilize the nonlinear continuous stirred tank reactor(CSTR).T-S fuzzy logic is used to build a global fuzzy state-space linear model.Combing the traits of SMC and CSTR,three fuzzy rules can meet the requirements of controlled system.The self-tuning switch control law which can drive the state variables to the sliding surface as soon as possible is designed to ensure the robustness of uncertain fuzzy system.Lyapunov equation is applied to proving the stability of the sliding surface.The simulations show that the proposed approach can achieve desired performance with less chattering problem.

基于Quasi-continuous高阶滑模理论的高超声速飞行器控制

针对高度非线性、强耦合、参数不确定性的高超声速飞行器数学模型,首先应用精确线性化将其非线性的数学模型转化成符合控制设计要求的等效线性模型,然后引入了Quasi-continuous高阶滑模控制理论,同时采用鲁棒精确微分器来克服测量的困难。模拟结果表明所设计的控制器对参数不确定性具有很好的鲁棒性,而且达到了期望的性能指标。

HP nonlinear guidance law design based on smooth sliding mode control

To eliminate the perturbation of interceptor detection induced by aerodynamic heating,the head pursuit (HP) guidance law for three-dimensional interception was presented. The guidance law positioned the interceptor ahead of the target on its flight trajectory,and the speed of interceptor was required to be lower than that of the target. On the basis of a novel head pursuit three-dimensional guidance model,a nonlinear guidance law was developed based on smooth sliding mode control theory. At the same time,a special observer was designed to estimate the target acceleration,and a numerical example on maneuvering ballistic target interception verified the effectiveness of the presented guidance law.

基于改进拟连续算法的回转弹仓位置控制

为提高大口径火炮自动装填过程中回转弹仓工作的精确性和鲁棒性,在分析现有拟连续算法相关研究内容的基础上,设计一种全新的改进拟连续控制器对回转弹仓进行位置控制。通过与滑模扰动观测器相结合,新控制器增益不依赖于系统扰动的不确定性边界,且不需引入额外的控制器参数,降低了控制器的设计和调试难度。通过Lyapunov方程验证控制器本身及闭环系统的稳定性。仿真和试验结果表明:新设计的控制器相对于已有拟连续算法具有优越性,在受到不确定时变负载和不确定参数扰动的情况下,新设计的改进控制器在应用于回转弹仓时,在趋近段可以获得更快的收敛速度,减小到位超调量,并在滑动段有效减弱抖振。

基于复合连续终端滑模控制的永磁同步电机位置伺服系统

为了提高永磁同步电机(PMSM)位置伺服系统的动态响应和抗负载扰动能力,提出一种基于高阶滑模观测器(HOSMO)的复合连续终端滑模控制(CTSMC)策略。首先,建立一个针对速度状态和集总不确定性估计的HOSMO。其次,通过引入状态和干扰估计信息构造基于积分器的终端滑模面,使系统能够精确跟踪期望轨迹。最后,通过综合趋近律和扰动前馈补偿技术,得到复合滑模控制(SMC)器。实验结果表明:所提出的控制策略能够有效地提高PMSM伺服系统的跟踪和定位性能,并且具有良好的鲁棒性和抗扰能力,能够在实际应用中取得良好的控制效果。

大直径浅圆仓滑模施工技术研究

以“中储粮合肥油脂库有限公司建仓项目浅圆仓施工总承包一标段项目”为背景,介绍了大直径浅圆仓滑模施工工艺、施工重点、难点,并阐述了大直径浅圆仓滑模水平垂直度的控制与纠偏、质量通病及防治措施,以其为类似工程提供参考。

Second-order terminal sliding mode control for hypersonic vehicle in cruising flight with sliding mode disturbance observer

This paper focuses on the design of nonlinear robust controller and disturbance observer for the longitudinal dynamics of a hypersonic vehicle （HSV） in the presence of parameter uncertainties and external disturbances. First, by combining terminal sliding mode control （TSMC） and second-order sliding mode control （SOSMC） approach, the second- order terminal sliding control （2TSMC） is proposed for the velocity and altitude tracking control of the HSV. The 2TSMC possesses the merits of both TSMC and SOSMC, which can provide fast convergence, continuous control law and high- tracking precision. Then, in order to increase the robustness of the control system and improve the control performance, the sliding mode disturbance observer （SMDO） is presented. The closed-loop stability is analyzed using the Lyapunov technique. Finally, simulation results illustrate the effectiveness of the proposed method, as well as the improved overall performance over the conventional sliding mode control （SMC）.

Second-Order Sliding Mode Controller Design with a Larger Domain of Attraction

In this paper,by combining a second-order sliding mode(SOSM)algorithm with the saturation technique,a novel SOSM control scheme has been presented.The feature of the proposed SOSM controller lies that there is a saturation function imposed on the sliding variable,which could significantly enlarge the domain of attraction for the closed-loop system.The geometric method has been utilized to prove that all the sliding variables will be steered to the origin in a finite time.Meanwhile,the relation between the control parameters and the shape of the phase trajectory has also been discussed.Finally,the proposed method has been applied to the tracking control problem for a robotic manipulator.

Match and mismatched second-order sliding mode finite-time control with simple parameter conditions and its applications

In this paper,a class of second-order sliding mode controller is proposed for nonlinear uncertain systems.The finite-time stability of the nonlinear uncertain systems is achieved when the sliding mode is matched or unmatched.Compared with the previous second-order sliding mode controller,the parameter conditions of the controller are simple and can be given explicitly,and easy to obtain.Finally,the simulation results of dc motor system and dc–dc buck converter verify the effectiveness of the proposed controller in the case of matching and mismatching.

基于扩张观测器的HMCVT换段离合器油压跟踪控制

针对液压机械无级变速器(HMCVT)换段离合器油压跟踪控制过程中,不匹配干扰造成实际油压与期望油压产生偏差的问题,提出了一种基于扩张观测器的全局终端滑模控制算法,以实现油压的高精度跟踪控制。通过建立带有不匹配干扰的非线性湿式离合器数学模型,推导了油压控制系统的状态方程,使用扩张观测器对不匹配干扰进行估计,设计了一种能够快速收敛的全局终端滑模控制算法,并将干扰估计值补偿到控制算法中以提高控制精度和降低滑模控制的抖振。基于全局终端滑模控制算法设计了换段离合器油压跟踪控制器,通过试验对控制器效果进行了验证。结果表明,扩张观测器能够有效观测不匹配干扰,与传统终端滑模控制算法相比,基于本文算法设计的油压跟踪控制器动态响应时间仅为0.13 s,超调量为0.08 MPa,且无明显抖振。在换段过程中,冲击度降低12.7%,滑摩功减少10.2%,表明所提油压跟踪控制算法具有较好鲁棒性,能够改善换段离合器的接合品质。

持续风补偿下四旋翼无人机滑模轨迹跟踪控制

针对四旋翼无人机(Unmanned aerial vehicle,UAV)在轨迹跟踪过程中存在持续风干扰问题,设计了一种双闭环滑模控制方法。首先,依据四旋翼无人机系统欠驱动特性,将其分为系统位置环和姿态环;其次,基于风扰观测器,采用连续滑模控制算法并设计持续风补偿器,实现无人机位置信息在持续风干扰下的稳定跟踪;再次,采用映射自适应滑模控制算法并同样设计持续风补偿器,实现无人机姿态信息在持续风干扰下的稳定跟踪;最后,与传统比例积分微分(Proportional integral derivative,PID)控制进行仿真对比,验证了该控制方法的有效性和优越性。

超声波电动机自适应滑模控制器设计

超声波电动机作为控制系统的执行器,被广泛应用于精密制造的驱动设备中。首先,为选择的超声波电机控制系统建立了近似的时域数学模型,使用最小二乘方法辨识了该系统模型的参数;然后,设计了一种连续切换自适应滑模控制器,并应用于超声波电机系统的控制,给出了超声波电机控制系统的稳定性检测方法,以及所设计控制器的参数选择方法;最后,采用传统滑模控制方法和所设计的控制方法跟踪相同的位置信号,取得了较好的控制效果。结果表明,对于跟踪幅值为40mm的位置信号,在较小抖振的前提下,传统滑模控制方法的最大跟踪误差为0.896 5 mm,连续切换自适应滑模控制的最大跟踪误差为0.164 6 mm,且无抖振。

基于连续滑模控制的水下无人航行器航向跟踪研究

本文提出在构建模糊水下无人航行器运动学模型的前提下,设计一款基于时变干扰观测器的连续滑模控制器。干扰观测器把系统误差及外界干扰等效到控制端,连续滑模控制器通过切换控制量使系统趋于平衡点。该控制器可快速响应,且对于模型参数变化及外界干扰不敏感,具有较强的鲁棒性。此外,将直线、正弦波及自定义曲线设置为预定航向,通过Matlab/Simulink进行仿真验证水下无人航行器是否可以实现在复杂水域下的轨迹跟踪,达到航向控制目的。

飞翼无人机复合连续非奇异终端滑模姿态跟踪容错控制

本文针对受多源干扰和舵面故障影响的飞翼无人机系统姿态跟踪控制问题进行研究,提出了一种基于高阶滑模观测器的复合连续非奇异终端滑模主动抗干扰容错控制算法,在实现姿态跟踪误差有限时间收敛的同时,保证了控制量的连续.并且针对控制力矩的具体实现问题,文章结合飞翼无人机气动舵面冗余特性,给出了基于加权伪逆算法的舵面分配方案,该方案在满足舵面约束的情况下,保证了舵面偏转角度的最优.仿真结果表明,所提控制方案显著提升了飞翼无人机姿态跟踪精度和跟踪误差的收敛速度,并且保证了所有舵面满足偏角约束.

连射航炮随动系统稳定控制策略研究

为了提高武装直升机持续高精度稳定射击能力,分析了机载航炮随动系统连发射击时所受负载扰动,设计了一种改进型负载转矩观测器,对系统冲击载荷进行实时观测,同时引入观测值作为电流环的前馈补偿。并将非奇异快速终端滑模控制应用于转速环,保证了系统收敛时间有限性,抑制了系统抖振,提高了系统抗扰动能力。仿真结果表明,该仿真模型能模拟航炮随动系统连发射击状态,提出的控制策略不仅能提高系统稳态精度,而且能削弱冲击负载对航炮随动系统性能影响,增强了系统的稳定性。

同步器试验台机械转动惯量电模拟复合控制

针对同步器试验对转速稳定性的要求和机械飞轮模拟转动惯量的缺点,提出一种基于扰动观测技术和连续终端滑模的机械转动惯量电模拟复合控制。首先,将同步摩擦扭矩视为外部干扰,并考虑扭矩跟踪误差以及系统参数变化,建立驱动电机动力学模型;其次,根据实际电磁扭矩和转速应用广义比例积分观测器估计驱动电机受到的集总扰动;再次,基于连续终端滑模设计电机转速控制器,并根据转动惯量电模拟原理将估计扰动融入转速控制器形成复合控制,通过李雅普诺夫稳定性理论分析闭环系统的稳定性;仿真实验验证了所提方法的有效性。

永磁同步电动机位置跟踪系统的连续终端滑模控制优化设计与实验

为使永磁同步电动机系统获得高精度的位置跟踪性能,设计一种改进的连续终端滑模控制策略。该策略用滑模观测器来估计系统干扰,是以永磁同步电动机系统动态模型为基础的连续终端滑模位置控制器;同时基于Lyapunov稳定性理论分析整个闭环系统的稳定性;并通过永磁同步电动机平台进行了实验。结果表明,与经典PID控制和普通连续终端滑模控制相比,所提出的改进连续终端滑模控制方法能够使永磁同步电动机系统获得更高的跟踪精度和更强的抗扰性能。

DC-DC降压转换器控制系统虚拟实验平台设计

为了研究DC-DC降压转换器的输出电压调节问题,利用Matlab软件的图形用户开发工具GUI设计了基于DC-DC降压转换器控制系统的虚拟仿真实验测试平台。同时利用可视化仿真工具Simulink在后台搭建了基于连续滑模控制算法的系统仿真模型。考虑到DC-DC降压转换器系统的输出电压通常会遭受参考电压和负载电阻变化的影响,为了显示所推荐控制方法的优越性,设计了基于传统双闭环PI控制和所推荐连续滑模控制的两组对照实验。实验结果验证了所搭建控制系统模型的正确性和整个实验平台的有效性。该实验平台既着重介绍了DC-DC降压转换器和PI控制方法的基础知识,又特别引入了先进的连续滑模控制方法,有效支持了自动控制原理课程的建模和控制分析实验。