Kind Of Servo System Research Articles

Decoupling Control for Three Degrees of Freedom Servo System Based on Neural Network

Three degrees of freedom servo system (TDFSS) is one of the key equipments of inertial testing, such as evaluation of inertial navigation system and test of inertial components. It is a kind of servo system with some non-linearity and uncertainty. This thesis takes advantage of the characteristic of Neural network in approaching non-linear function, applies the Neural network on the three-axis simulator, provides a method for the TDFSS. Simulating experiment has been used to verify the advantage of the scheme and achieved completely decoupling control. The scheme gives good control precision, and it is simply structured and easily implemented.Introduction

Research on the Performances of Self-Oscillation Linear Actuator and its Compensation

Base on constitution of the self-oscillation linear actuator which is a servo system for a gun launched missile, a nonlinear model was built. Though the experiment, the model is correct. This paper studied the stability, the self-oscillation's frequency and gain on this kind of servo system. On comparing phase-lead compensation and phase-lag compensation, the later is more suitable for this system. After testing, the lag regulator is designed for the system.

Friction Compensation Based Acceleration Feedback Control for Flight Simulator

The flight simulator is one kind of servo system with uncertainties and disturbances. To obtain high low-velocity performance and good robustness for the flight simulator, we present a novel robust controller based on the acceleration feedback and Disturbance Observer. Firstly, the plant model and the framework of the novel controller are described. Secondly, the principle and the design process of the acceleration feedback controller are analyzed and expatiated respectively. Finally, simulation results on the flight simulator show that the acceleration feedback controller can compensate nonlinear friction problems and the system performance can be improved. Therefore both robustness and high performance of the flight simulator are achieved. It is an applied technology for the control of servo system, such as the flight simulator.

Robust BackStepping Control Based DRNN for Flight Simulator

Flight motion simulator is one kind of servo system with uncertainties and nonlinearities. To acquire higher frequency response and good robustness for the flight simulator, we present a Backstepping controller based on a Diagonal Recurrent Neural Network (DRNN) to work out this problem. For one thing, the design procedure of the robust Backstepping controller is described. Subsequently, the principle and the design steps of DRNN are analyzed and expatiated respectively. In the end, simulation results on the flight motion simulator show that robust backstepping control based on DRNN can compensate for external disturbances and enhance robustness of the system control performance. Therefore both robustness and high performance of the flight motion simulator are achieved.