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The techniques of adaptive passivity-based controller (APBC) and non-adaptive passivity-based controller (PBC), together with a PI controller, are applied to the level regulation of a conical tank. A comparative study considering the controller designs and experimental results is presented. A single APBC and PBC are designed for the whole operational range of the plant; whereas a PI controller with...
In this paper, a new scheme that used a method of pump controlled cylinder for rapid-erection in mobile launcher is proposed, where the hydraulic pump is driven by engine through power takeoff. After obtaining the fundamental motion equation, we selected the pump and calculated the expected pump rotation speed. In order to obtain the expected erection speed, a BP neural network was trained by using...
A PID neural network is proposed to solve the decoupling problem of multi-cylinder forging machine. Based on analyzing forging machine's model the PID neural network is determined as 10-15-5 structure. 10 input- neurons connect the given value and the measure value of left front cylinder, left posterior cylinder, right front cylinder, right posterior cylinder and main cylinder.15 neurons of hidden...
In order to improve fuel economy and emission of liquefied petroleum gas bus in driving condition, this paper researches a receding horizon control method of gas mass flow for liquefied petroleum gas bus engine based on neural network. Firstly, the relation between the valve opening angle, gas pressure and gas mass flow of liquefied petroleum gas bus engine is according to gas mass flow dynamics....
This paper presents the use of neural network control approaches for a two inputs -two outputs (TITO) coupled tank liquid levels with disturbances effects and set-point changes in dynamic system. Hybrid PI-neural network (hybrid PI-NN) and PID neural network (PID-NN) controllers are the techniques used in this investigation to actively control the liquid levels of coupled tank system. Unlike traditional...
The physical mechanism of three-tank water level system is analyzed, and an approximated linear model is deduced to represent the dynamic property of the water level system around an equilibrium point. On the other hand, Three different identification methods based on different model structures: linear model, BP neural network model, nonlinear Hammerstein ARMAX model are used to identify the dynamical...
In this paper a decoupled sliding-mode with fuzzy neural network controller for a nonlinear system is presented. To divided into two subsystems to achieve asymptotic stability by decoupled method for a class of three order nonlinear system. The fuzzy neural network (FNN) is the main regulator controller, which is used to approximate an ideal computational controller. The compensation controller is...
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