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Aiming to the "less hours class", combined with the requirements of "the plan for educating and training excellent engineers " which is issued by the Ministry of Education, the engineering drawing course is reformed from the teaching contents and teaching methods, breaking the traditional cartography curriculum system, and recombination of the teaching content of the course, the...
A numerical study of a natural convection, which is caused by multiple discrete heat sources in horizontal enclosure, is carried out by a finite volume method. Numerical results are reported for the effect of the separation distance and Rayleigh number on velocity fields, temperature fields and the average Nusselt number, the calculated values of enclosed rectangle cavity cooled from the top wall...
A novel approach to improve the character of nonlinearity is proposed with adding dither signal which has high frequency and small amplitude. The mathematics model of the dither signal effect on dead zone element is established using the equivalent gain, the principle how to eliminate dead zone is discussed particularly. A simulation example of electro-hydraulic servo vibration table is implemented,...
Aiming at a class of strict-feedback nonlinear systems with mismatched uncertainties, an adaptive backstepping fuzzy controller design is presented. By applying backstepping design strategy and online approaching uncertainties with fuzzy approximator, the control inputs and adaptive tuning rules are derived from the Lyapunov stability theory. To deal with the problem of extreme expanded operation...
A non-singular terminal sliding mode (TSM) controller design strategy is presented based on backstepping for a class of uncertain nonlinear system. By using a new inverse dynamic TSM surface, a control law with non-singularity is obtained, and the time from any initial system state to reach the sliding mode surface is proved to be finite. In order that the system output can track the expected signal...
Aiming at a class of mismatched uncertain nonlinear system with a dead zone input, an adaptive neural controller design scheme is presented by combining backstepping with variable structure control (VSC). By applying online approaching uncertainties with fully turned radial basis function (RBF) neural networks (NNs), the adaptive tuning rules are derived from the Lyapunov stability theory. To deal...
Combining backstepping with variable structure control (VSC) scheme, an adaptive neural controller design for a class of mismatched uncertain nonlinear system with inputs containing sector nonlinearity and dead zone is presented. By applying online approximating uncertainties with fully tuned radial basis function (RBF) neural networks (NNs), the adaptive tuning rules are derived from the Lyapunov...
Based on neural networks, an adaptive fast terminal sliding mode (FTSM) control strategy is presented for a class of high-order uncertain nonlinear system. The radial basis function (RBF) neural network is used to online approach uncertainties of system. The mathematical relationship between the neighborhood of each sliding mode surface and the system uncertainty is derived. It is strictly proved...
The electro-hydraulic exciter is characterized by the larger output force and amplitude. For the purpose of enhancing the frequency of electro-hydraulic vibration exciter, a new type of 2D digital directional control valve is presented. The configuration is designed with two motions freedom of a single spool, the rotary motion of the spool is driven by a stepper motor continually, the linear motion...
Aiming at the electro-hydraulic servo system with mismatched uncertainties, an adaptive backstepping neural network position controller design is presented. By applying backstepping design strategy and online approaching uncertainties with RBF neural networks, a nonlinear controller for a hydraulic servo-system is developed based on Lyapunov stability theory, the problem of extreme expanded operation...
An adaptive backstepping neural controller design is presented for a class of nonaffine nonlinear system with mismatched uncertainties. By applying backstepping design strategy and online approaching uncertainties with fully tuned radial basis function (RBF) neural networks (NNs), the adaptive tuning rules are derived from the Lyapunov stability theory. A nonlinear tracking differentiator is introduced...
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