Papers by Keyword: Sliding Mode Control (SMC)

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Authors: Wei Ning Bao, Xiao Hong Zhang, Yong Sheng Zhao, Yun Qing Zhang
Abstract: Due to nonlinearity, preload-dependent spring force and parameters uncertainty in air spring, it is difficult to control this suspension system. To achieve a desired performance, a fuzzy sliding mode controller (FSMC) has been designed to improve the passenger comfort and manipulability of vehicle, in which the fuzzy adaptive system is used to deal with the nonlinearity and uncertainty of the air suspension. A normal linear suspension model with an optimal state feedback control is designed as the reference model. The simulation results show that this control scheme is more effective and robust in the vibration isolation of the vehicle body than is the conventional sliding mode controller (CSMC).
Authors: Guo Hua Xu, Ying Zhang, Ming Dong, Lu Wei Xu
Abstract: A switch-mode power amplifier based on a cascaded multicell multilevel circuit topology is introduced in the paper. Due to the Carrier-Based phase-shifted modulation of the individual switching cells, the output voltage ripple of the total system is considerably small. Compared with traditional class- AB amplifiers that are very poor at efficiency, the proposed amplifier has the efficiency of 90% at the smaller distortion level. A multilevel class-D amplifier’s mathematic model is analyzed. The paper lays emphasis on the design of the sliding mode control and deducts the parameters, and then develops a 2kW cascade multilevel class-D power amplifier adopting sliding mode control. The research results show that this kind of amplifier increases the system bandwidth, which provides the system with fast following performance and stability, high efficiency, and low THD value of output signals.
Authors: Yi Min Li, Yang Cai
Abstract: A novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed in this paper based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC).To get rid of the chattering and the bound of uncertainty, an adaptive fuzzy logic system design method introduced for the switching gain is proposed. The main advantage of our proposed methodology is that the nonlinear systems are unknown and no knowledge of the bounds of parameters, uncertainties and external disturbance are not required in advance.the design for the switching gain which will relax the requirement for the bound of uncertainty can ensure stability. The simulation results illustrate the effectiveness of the method.
Authors: Jenn Yih Chen, Bean Yin Lee
Abstract: Based on the passivity theorem, an approach of the rotor resistance estimation and sliding mode position control for induction motor drives is proposed in this paper. Owing to values of the moment of inertia and the viscous coefficient of induction motors are generally small, the load torque disturbance is a critical term to create the chattering phenomenon. The adaptive laws are taken into account for estimating the rotor resistance and the gain of a load torque. Therefore, the chattering associated with the conventional sliding mode controller can be alleviated. The stability analysis of the estimator and the position control system is carried out by employing the passivity theorem. Finally, experimental results are presented to show the performance and robustness of the estimator and the controller with the variations of the motor mechanical parameters, rotor resistance, and load torque disturbances.
Authors: Wen Da Zheng, Gang Liu, Jie Yang, Hong Qing Hou, Ming Hao Wang
Abstract: This paper presents a FBFN-based (Fuzzy Basis Function Networks) adaptive sliding mode control algorithm for nonlinear dynamic systems. Firstly, we designed an perfect control law according to the nominal plant. However, there always exists discrepancy between nominal and actual mode, and the FBFN was applied to approximate the uncertainty. After that, the adaptive law was designed to update the parameters of FBFN to alleviate the approximating errors. Based on the theory of Lyapunov stability, the stability of the adaptive controller was given with a sufficient condition. Simulation example was also given to illustrate the effectiveness of the method.
Authors: Qing He, Jin Kun Liu
Abstract: In this paper, an adaptive sliding mode control (ASMC) method for a single inverted pendulum (IP) is proposed. The physical parameters are transformed into the model information, thus adaptive law for the IP can be designed with unknown physical parameters. By simulation and experiments, we found that the ASMC method can keep the IP in the upright position, with quick parameters adjustment and high degree of system robustness.
Authors: Chun Sheng Chen
Abstract: This paper addresses the SMC-based adaptive wavelet-neural tracking control problem for a class of uncertain nonlinear systems. The adaptive wavelet-neural controller is designed under constrain that not all atate variables are available for measurement. A state observer is used to estimate unmeasured states of the systems. The global asymptotic stability of the closed-loop system is guaranteed according to the Lyapunov stability criterion. The simulation presented in the inverted pendulum system control indicates that the proposed approach is capable of achieving a good trajectory following performance without the knowledge of plant parameters.
Authors: Sheng Qi Chen, Jun Zhou
Abstract: A moving mass control of rotating spacecraft is a kind of new control mode, it differs from other control modes because it generates an angle of attack and an angle of sideslip directly from the mass motion.The nonlinear equations of motion for rotating Maneuverable Spacecraft are derived. the variable structure attitude controller is presented according to the nonlinear equations, It’s based on two-timescale separation and with two loops, faster loop and slower loop respectively. Inertial uncertainties and aerodynamic moment uncertainties are considered simultaneously, In order to track the command signals perfectly, the sliding surface is of integral form, results of the simulation shows that this kind of attitude control system is potentially practical and robust in the presence of inertial uncertainties of guided missile and uncertainties of aerodynamic moments. Compared with the common attitude control system, it has the following advantages:(1) non linear model is directly controlled,(2)it has robust. Because the non-linear factor is considered, it has the practical use for the engineering field.
Authors: Xi Jun Zhao, Wei Zhang, Hai Ou Liu, Hui Yan Chen
Abstract: A kind of intelligent vehicle–road model based on look-ahead reference system is established. According to the state equation, a novel sliding mode variable structure control algorithm is proposed. The sliding function is defined using pole placement technology, while the trending motion is determined by exponential reaching law. Accordingly, the effect of poles and reaching law parameters to close loop control system is analyzed in depth in order to design a good performance automatic control system. Finally, the developed sliding mode controller is validated by simulation study. Simulation results show that the designed controller has good performance in road tracking scenario.
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