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Since PID control does not meet the high accuracy requirement for gyro stabilized sighting system of airborne optoelectronic pod operated in the circumstance of strong interference, this paper introduces the application of sliding mode variable structure controller for the position loop of the stabilized system. After the sliding mode variable structure controller with exponential approach law is...
This paper presents a general form for the fast terminal sliding mode (FTSM). It is shown that the proposed form not only includes the conventional FTSM, but also provides new types of FTSM which can have a faster convergence rate than the conventional one. More importantly, the convergence time of the new FTSM models is bounded for any initial value, which means an upper bound of the convergence...
A robust incipient faults diagnosis proposal for a class of nonlinear system with unknown input disturbances is presented in this paper. First, the uncertain nonlinear system is transformed into two subsystems and one of them is free from disturbances. Then for the subsystem free from disturbances, an adaptive observer is constructed to reconstruct incipient faults and a sliding mode observer is constructed...
Adaptive stepping sliding mode control strategy for the overload control of anti-ship missiles using Lyapunov's stability theory is proposed. In the first few steps, we assume there exists a virtual actuator, the virtual actuator concept can make the desired value can be easily traced, in the last step, a sliding mode controller is applied to guarantee the robustness of the system. At the same time,...
To improve the tracking precision, integrated control strategy of Permanent Magnet Linear Synchronous Motor (PMLSM) based on sliding mode control and repetitive control was proposed in this paper. Because PMLSM is easily affected by the periodic thrust fluctuation caused by the end effect, the periodic friction and other aperiodic disturbance during operating. The speed controller and the current...
This paper deals with the stabilization problem of uncertain nonlinear systems by passivity-based adaptive integral sliding mode control. The systems may possess both parametric uncertainties and unknown nonlinear functions that may represent modeling errors and external disturbances. The proposed method first combines immersion and invariance adaptive control with integral sliding mode control, which...
The problem of designing global sliding mode controllers for a class of linear and uncertain systems with time delays of control was concerned. Firstly, we proposed a new method for integral sliding surface. It can make up for the deficiencies of the traditional sliding surface, eliminating the process of reaching and ensuring the global robustness of the system. Secondly, this paper gave the process...
A new reaching law of sliding mode control is proposed. It is an efficient technique to reduce the chattering and to guarantee a good robustness of systems by using time-variable boundary layer. The design approach is much simpler than other approaches of time-variable boundary layer reaching law. The simulation results show that the novel control strategy is effective and feasible.
In this paper, we investigate the design problem of the sliding mode control for uncertain singular time-delay systems. Based on the dependent-delay robust stability criterion, we give an integral-type surface and propose a delay-dependent sufficient condition such that the sliding mode dynamics restricted to the surface is regular, impulse free, robustly asymptotically stable for all admissible uncertainties...
To solve the problem that the UCAV load data link make analog signals guidance law cannot be used directly, a kind of new discrete variable structure guidance law arithmetic is brought out, which takes the restriction of entry angle into consideration, and conquers the buffeting phenomenon when the tradition discrete variable structure control arithmetic get into sliding mode. The simulation results...
An intelligent integral backstepping sliding mode control (IIBSMC) system using a multi-input multi-output (MIMO) recurrent neural network (RNN) is proposed to control the position of a levitated object of a magnetic levitation system considering the uncertainties in this study. First, the dynamic model of the magnetic levitation system is derived. Then, an integral backstepping sliding mode control...
In this paper, a robust intelligent tracking control (RITC) system employs a recurrent wavelet-based cerebellar model articulation controller (RWCMAC) is developed for uncertain nonlinear system to achieve H∞ tracking performance. The dynamic structure of RWCMAC has superior capability to the conventional static cerebellar model articulation controller (CMAC) in efficient learning mechanism and dynamic...
This paper describes the dynamical uncertain systems by the Takagi-Sugeno (T-S) fuzzy dynamic model, and proposes a LMI design method of the robust fuzzy sliding mode observer by applying the robust sliding-mode observer design principle based on the singular value decomposition. Firstly, the Lyapunov function is used as the critical condition which ensures the consistent convergence of the designed...
The real-time estimation of road utilization adhesion coefficient is an important issue for the ASR (Anti-Slip Regulation) system of electric wheel independent drive vehicle. Firstly, the 1/4 vehicle dynamics model was built based on the LuGre tire model. Then combined with wheel angular velocity information, the exponential approach law-based sliding mode observer for the road utilization adhesion...
This study presents a analysis of the cruise control for the high speed train (HST). For a train system, the system are designed to being safe and reliable with high efficiency and fault tolerance; however, users require faster, more stable and more comfort transportation. To make sure the safety at such high speed, automatic train control (ATC) is needed and used for the modern HST to guarantee the...
A Robust-Intelligent controller based on sliding mode control theory and neural network is presented to reduce the bullwhip effect in supply chain. A state space model used to design and evaluate the performance of the proposed controller. The neural network control strategy is studied to overcome the “chattering” of the sliding mode controller. The numerical simulations are curried out to check the...
In this paper, a dynamic identification method for a robot manipulator is investigated. A robust adaptive differentiator based on higher order sliding modes is used to estimate the state of the system. A theoretical proof of the convergence of this robust differentiator is given. A frequency analysis in term of filtering is provided and a comparison with a filter based on a classical differentiator...
The goal of this paper is to present the first controller that has been applied to an original system, which is a direct-drive submersible grinding robot. Since this application is quite recent, an analogy is made with machine tools equipped with linear motors, and the control methods that have been applied are reviewed. This review has led to the selection of the sliding-mode controller with the...
Near Space Vehicles draw more attention for its high speed transportation and affordable space access. However, advanced control methods for Near Space Vehicles always required full information on the state. In this paper, a higher-order sliding-mode observer is proposed in MIMO nonlinear longitudinal dynamic equations. The observable states can be estimated exactly and the unobservable ones will...
This paper presents the design of a simple and effective speed and position observer for a Surface Permanent Magnet Synchronous Motor (SPMSM). The proposed observer based on Higher Order Sliding Mode (HOSM) is designed in order to ensure the robustness against disturbances and to avoid the chattering phenomenon which is inherent in standard first order sliding mode. The stability and finite time convergence...
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