Active Disturbance Rejection Control of Certain Balanced and Positioning Electro-Hydraulic Servo System Based on Neural Network
For certain balance and positioning of electro-hydraulic servo system existing nonlinear, the active disturbance rejection control (ADRC) has many adjustable parameters which are difficult to regulate, so active disturbance rejection control with neural network (NN-ADRC) is developed in this paper. The method uses neural network self-learning ability, through a single neuron adaptive configuration parameters to complete an online self-tuning parameters, while taking advantage of RBF neural network as identifier to identify the controlled object gradient information. Simulation results show that: the controller parameters are reduced significantly, and effectively inhibit the system unbalance force disturbance and realize the accurate positioning. It also has fast response speed, no overshoot, and high steady-state accuracy.
Development of Technologies to Apply Refractory Metals to Large Caliber Gun Bores
To increase the service life of large caliber naval guns, several technologies were evaluated by the Office of Naval Research for their ability to apply a refractory metal bore surface that would survive the severe thermal, chemical and mechanical environment. These technologies were evaluated using gun firing tests designed to produce a bore surface condition that replicated the intended application. Tests were conducted in 45 mm, 76 mm and 155 mm scale with rapid fire conditions evaluated at both 76 mm and 155 mm scale. Where possible the results have been compared to a chrome plated sample subjected to the same firing conditions.
Method of adaptive fuzzy sliding mode control of gun control system of tank
A new method of adaptive fuzzy-sliding mode control for tank gun control system that contains nonlinearity and uncertainty is presented.The method that the sliding mode control and the fuzzy logic were integrated is adopted.Absolute value of sliding mode on-off function as input composes one-dimension fuzzy logic interference and its output adjusts online output gain of one dimension fuzzy logic controller.Using Lyapunov law,we can get the sliding-mode control variable.The sliding mode tracking controller is designed to ensure that the system has fast tracking characteristic,and the fuzzy controller can suppress the disturbances within the close loop and reduce the chattering with good robustness of system.The paper theoretically proves the asymptotic stability of the system,and the simulation results are valid.Simulation results show that this is more excel than classical design,its structure is simple and is designed easily,and thus a new realistic technique is provided for the design of gun control system of tank.