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The growing demands for high level of energy efficiency have given much new impetus to the development of electric vehicle in Agricultural Machines. To improve the performance of the state observer for an 8-DOF four-wheel vehicle, a state observer based on the Extended Kalman Filter is proposed. With the observer, the tire-road forces and the vehicle roll velocity are estimated accurately according...
An adaptive output feedback controller based on neural network(NN) is proposed, which forces a waterjet propulsion ship to track a desired course. A nonlinear course model of waterjet propulsion ship is proposed. The proposed control method only need the measurable information of course angle, and the unknown disturbances in the complicated sea states are estimated by neural network, so the control...
The high precision of a piezo-electric positioning stage almost depends on whether the designed controller can effectively compensate the inherent hysteresis phenomenon. In this paper, an adaptive output feedback controller based on a radial basis function neural network (RBFNN) is proposed to eliminate the tracking errors caused by the hysteresis behavior. The observer-based RBFNN is used to online...
Compared to the land power systems, the loads of the ship power systems have a sererious influence on the stability of the systems. Furthermore, the dynamic/static loads and generators have high nonlinear and coupling interactions. In order to attenuate the impact on the frequency of Marine Diesel Engine Generator, speed regulating control problem of marine power system under diffident working conditions...
A neural network (NN)-based backstepping adaptive control is proposed for the stabilized platform system of shipborne weapons (SPOSW) with uncertain nonlinear friction torque and load disturbance. First, with the using of NN approximator, an equivalent model is developed. Where the NN is used to estimate the uncertain nonlinear friction torque. Then, based on the equivalent model, address the problem...
In this paper a new piecewise fractional-order chaotic system is found, which is named as PFLS (piecewise fractional-order Lorenz-Stenflo) system. Chaos can exist in PFLS system with order as low as 3.44. And then the new successive mismatch synchronization method is proposed for the PFLS chaotic system. The method can direct the state vectors between the drive system and response system to synchronize...
An adaptive output feedback controller based on neural network (NN) is proposed, which forces a surface ship at high speed to track a desired path. In general, tracking problem of the surface ship at low speed has been widely investigated in many studies, in which coupling interactions among the forces from each degree of freedom (DOF) is not considered. Nevertheless, the nonlinear characteristics...
In this paper, we study the problem of generating chaotic attractors by using a switching type of piecewise linear controller. A new chaotic system is generated by designing a switching piecewise-linear controller . Some basic dynamical properties, such as Lyapunov exponents, fractal dimension, equilibrium and chaotic dynamical behaviors of the new chaotic system are studied. Furthermore, dynamical...
A dynamic model of back-to-back voltage source converter under synchronous rotating d-q coordinate system is developed. The system is transformed to a new equivalent nonlinear system which consists of a linear decoupled subsystem and a nonlinear subsystem characterizing the dynamics of the dc-link voltage in terms of the state variables in the linear subsystem via the feedback linearization technique...
It is analyzed that coupling relations among each variable in the operating processes of a rectifying tower in which BP neural network is applied for the temperature of decoupling control according to dynamic characteristics of multivariate, nonlinear and strong coupling system. Based on traditional PID controls we have suggested a new control algorithm of BP neural networks with decouple network...
A dynamic model of back-to-back voltage source converter under synchronous rotating d-q coordinate system is developed. The system is transformed to a new equivalent nonlinear system which consists of a linear decoupled subsystem and a nonlinear subsystem characterizing the dynamics of the DC-link voltage in terms of the state variables in the linear subsystem via the feedback linearization technique...
The fault diagnosis and close-loop tolerant PID control for nonlinear multi-variables system under multiple sensor failures are investigated in the paper. A complete FDT architecture based on software redundancy is proposed to efficiently handle the fault diagnosis and the accommodation for multiple sensor failures in online situations. The methods colligates the adaptive threshold technique with...
This paper analyzed the nonlinear factors, saturation of voltage and current, dead zone due to static friction of a brushless DC motor for an airborne electro hydrostatic actuation (EHA) system. It also designed a fuzzy logic self-tuning PID controller with load pressure positive feedback compensator. The control scheme of BLDCM can achieve fast response, high accuracy, robustness and none overshoot...
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