Applied Mechanics and Materials Vols. 380-384

Abstract: Track irregularity is one of the most important aspects of the suspension control performance impact. Due to the delay phenomenon of suspension system, the traditional PID control is unable to accurately track irregularity of track changes. Based on the qualitative analysis to delay suspension system, through modifying conventional PID controller, the article establishes four kinds of Neural Network adaptive PID Controllers based on different learning rules. The control strategy combines by the simple structure of the PID Control, the self-organizing ability of the Neural Network Control and the self-learning ability of the learning rules, adjusts PID parameters on-line, adapts to the change of track irregularity, and has strong robustness. However, the different learning rules have different learning ability of the interferences of track irregularity for the delay phenomenon of the suspension system. Simulation result shows that the supervised Delta learning rules is confirmed more effectively to realize tracking compared with other learning rules, faster response speed, more simple structure, easier operation for the track interference and load disturbance of the delay suspension system. This provides a very good way to solve the interference problem of orbit of the delay suspension system.

Abstract: V-shaped surface with two planes linked by an arc surface is widely used in structure design, such as inlet duct. According to its characteristic, the transverse painting method is adopted to plan painting trajectory for its inner surface. Along the curve of the cross-section, the plane area is painted under the uniform speed of spray pattern and the arc area is painted under the uniformly accelerated and decelerated motion. The maximum speed is calculated by the transfer efficiency of the plane area and arc area. Experimental tests and evaluation are carried out on an arc-transit duct with rectangular cross-section. The results show that in this approach, the maximum positive relative deviation, maximum negative relative deviation and average relative deviation are obviously lower than those with equal painting speed on all surface.

Abstract: Dealt with the short precision the traditional Taylor series expansion induced and shortage that the system mechanics is hard to match with the exact linearization conditions, a novel exact linearization algorithm of tight coupling nonlinear system based on differential manifold to the missile attitude control system is proposed. A dimension expansion method is proposed, the method solves the problem that the input and output dimensions can not meet the exact linearization conditions; the algorithm application range is widened. Using the principle of the differential manifold, the missile velocity and height information are selected as the measure output, the exact linearization of the missile attitude system is derived based on the diffeomorphism transformations. The simulations are performed on the missile attitude control system. Simulation results show that the effectiveness of the algorithm proposed.

Abstract: Many factors impact on the performance of SAR-GMTI system. Besides of minimum detectable velocity (MDV), the performance of SAR-GMTI system is involved in probability of detection and probability of false alarm when considering the interference factors (such as thermal noise, phase drift and unbalance between channels, etc.) and the stationary clutter. These three features of SAR-GMTI system are related to the values of the number of looks, CNR, SCR, the radial velocity of moving targets and so on. However, there is no paper described how these factors impact on the performance of SAR-GMTI system systematically which will strongly support the study of improving detection performance. This paper analyses influence factors and provides a group of reasonable value of them for simulation.

Abstract: This paper proposed the algorithms of infinite impulse response (IIR) band-stop filter and all-pass filter to eliminate the inherent frequency for piezoelectric ceramics and improve the control precision for nanodisplacement positioning system. The IIR algorithm was composed of five steps (such as the determination of normalized frequency, filter orders and transfer functions of analog low-pass filter, analog band-stop filter and digital band-stop filter). Based on the experimental simulation results on the nanodisplacement positioning platform, the butterworth band-stop filter algorithm can achieve the requested filtering effects within 10 orders .

Abstract: The main objective of this paper is to develop a pilot translational motion perception model that can be used in flight simulator fidelity evaluation .This paper provides detailed design process to pilot translational motion perception model with visually induced self-motion and canal-otolith interaction.This study considers the effects of visually induced self-motion and canal-otolith interaction to pilot motion perception at one time . The pilot motion mode has more fidelity than others.

Abstract: in this paper, an explicit distributed model predictive control method for a class of linear system with control information coupling by means of multi-parametric programming is established. In order to get close to the optimal performance of centralized MPC, the method is based on cooperation, which solving weighted global cost instead of local ones. The method is employed on distillation column control problem to verify the efficiency.

Abstract: Linear system is very seldom in actual control works, so there is more engineering significant of researching on the actual nonlinear system. Time delay phenomenon is the objective phenomenon exists in nature. Neural network based on adaptive dynamic programming principle is selected to implement algorithm. The algorithm contains model network training, H network training for time delay function, critic network training. Before running this iterative algorithm, training the model network first, the model uses a three-layer BP network to realize. Time delay function network H(K) is to approximate the functional relationship between the current control input and the delayed input. The critic network is used to approximate system performance function. The simulation results show that the proposed iterative adaptive dynamic programming can solve for the optimal control of delay nonlinear systems.

Abstract: Based on the logistics management and control system of the cold-rolled finished products, this system has realized many features, including three-dimensional positioning of the crane, a variety of real-time data collected through the RFID systems and magnet detection system and wireless data acquisition in the coil storage or out of the library or inverted treasury job process transmitted to the server, coil warehouse operations process optimization and control, forming automatically a plan and target location to crane, Prompting crane operations, real-time monitoring of crane operating, recording crane operating results, tracking and positioning of the treasury coil information, updating treasury stock coil position in real time, inquiry treasury stock and automatic generation of warehouse operations statements by teams or date or month or year, communication with ERP or MES etc. Through seamless connectivity between the crane operating system and warehouse management systems and enterprise information systems, the system can achieve precise synchronization of logistics and information flow.

Abstract: In order to improve the collision problem of getting information of RFID-assisted positioning system in the robot. This paper will build a mathematic model for the time slot method by quoting Markov chain, that use it as the basis analyze the time slot method performance and get the relationship between the number of the time slot and the electronic tag identification, so we can reasonable plan the positioning tag number. This technique is applied to the robotics positioning recognition system.