Advanced Materials Research Vols. 765-767

Abstract: As the developing of the automatic manipulate control technique of automobile, the research and development of Automated Transmission have abstracted more and more attention. In numerous Automated Transmission productions, AMT (Automated Mechanical Transmission) plays an absolutely important role. This system is a AMT data collection system based on electro-hydraulic control. According to the design of the system software program, we can collect and analyze the data of driving, and then mark the electro-hydraulic valve. This paper designs and realizes the total structure of data collection and processing system, analyses and designs the function of all modules elaborately. It is the summary of the front period work of the whole AMT system, and is the foundation of the work of function realization and running and debugging of AMT system.

Abstract: In recent years, inverse system method has been achieved some progress. However, it needs not only deterministic mathematical model but also analytical expression of the inverse system. They are often not able to be realized for most of the actual control systems. Therefore, it is necessary to combine the inverse system method and the intelligent control methods which are not relied on or not entirely relied on precise model in order to overcome its "bottleneck" in practical application. The application of support vector machine in inverse system method is mainly studied in this paper. Firstly, the rigorous theory of inverse system method is introduced. Secondly, SVM inverse control method is described. Finally, the additional controller is designed to complete the closed-loop control of the pseudo linear systems. Through simulation in MATLAB, the result shows that the method in this paper is effective and feasible.

Abstract: In this paper, study of adaptive inverse controller based on nonlinear multi-degree-of-freedom (NLMDF) algorithm has been carried out. A vibration control system with TMS320F2812 as the hardware platform has been developed, which can realize waveform reproduction and spectrum control. An improved least mean square algorithm-NLMDF has been introduced to design the filter parameters in the adaptive inverse control and simulations have been carried out in Matlab software environment. Accordance with the requirements of the adaptive inverse control method, hardware platform of the vibration control system based on dual-Digital Signal Processor (DSP) architecture, has been designed; through abstraction of the driver layer, system layer and application layer of the vibration control system , software platform has been developed. The experiment results show that functionality and performance indicators of the system have reached the design requirements.

Abstract: Tracking control is to select a control strategy, so that the actual output of the system to be able to track the desired output trajectory, and makes minimal prescribed performance index function. Actually adjustment problem is also a special tracking problem, namely zero output trajectory tracking problem. Adaptive dynamic programming for solving delay systems tracking control aspects of the article is very small. The proposed delay systems tracking control features include two aspects: First, the research object containing the delay nonlinear discrete affine system, the second is the research method is adaptive dynamic programming iterative algorithm.

Abstract: When AC motor is operated in the light load or no-load, the power factor of AC motor is relatively low, so frequency converter is adapted to motor for energy-saving control, and the system increase the tracking function of the load on the basis of all the features of the conventional inverter. And it is able to real-time monitor to load changes of the motor through the microcontroller, online adjust the input power of the motor, so that the motor output power to match load, ensure that the energy consumption of the motor is reduced to a minimum extent in the entire load range.

Abstract: In order to strengthen the high-speed maglev trains anti-disturbance ability, the traditional linear cascade control algorithm has been improved. Firstly, the mathematical model of the joint-structure in the high-speed maglev train was established according to the dynamics and electromagnetism theory.Secondly,the advantages and disadvantages of the linear cascade control algorithm were analysed.Thirdly,the relationship between the current loop and position loop control parameters and the system performance was discussed .Finally,the nonlinear cascade control algorithm of the joint-structure in high-speed maglev train was introduced. In the algorithm,the current loop controller gain would be reduced when the positional deviation increases. At the same time, the gain of the position loop controller would be increased. The simulation results show that the suspension joint-structure gap changes caused by the failure of a single suspension point or disturbing force ,of systems with nonlinear cascade control algorithm were less than that of systems with linear cascade control algorithm. The new algorithm can improve the anti-disturbance ability of the maglev train,It can also ensure the safety and comfort of passengers.

Abstract: The true trajectory of spacecraft disperses from the nominal due to kinds of errors and perturbations, including environment, actuator and sensor uncertainties. This paper studies the error analysis problem of closed-loop control for spacecraft orbital transfer via Monte Carlo method. At first, errors that affect the true state are introduced and a navigation-target-correction loop system for Monte Carlo simulation is built. A dynamical model for orbital transfer is established, based on which both the extended Kalman filter (EKF) algorithm and correction maneuver control algorithm are developed. Precision analysis is studied of high eccentric orbital (HEO) transfer under open-loop and closed-loop control respectively. The simulation results prove the validity of the proposed method.

Abstract: Double inverted pendulum system is nonlinear and unstable. Fuzzy control uses some expert's experience knowledge and learns approximate reasoning algorithm. For it does not depend on the mathematical model of controlled object, it has been widely used for years. In practical engineering applications, most systems are nonlinear time-varying parameter systems. As the fuzzy control theory lacks of on-line self-learning and adaptive ability, it can not control the controlled object effectively. In order to compensate for these defects, it introduced adaptive, self-organizing, self-learning functions of neural network algorithm. We called it adaptive neural network fuzzy inference system (ANFIS). ANFIS not only takes advantage of the fuzzy control theory of abstract ability, the nonlinear processing ability, but also makes use of the autonomous learning ability of neural network, the arbitrary function approximation ability. The controller was applied to double inverted pendulum system and the simulation results showed that this method can effectively control the double inverted pendulum system.

Abstract: The development of robot technology and AI makes it possible using outdoor mobile robots inspecting substations instead of manual work [. To solve the technical problems of substation patrolrobots navigation, a general scheme of substation intelligent inspection based on the red guide line is put forward. The 2-D bar code records main inspected equipments information, aiding patrol robot positioning navigation. The system utilizing LabVIEW virtual instrument software with IMAQ Vision module has been successfully written and related to pictures image processing, detecting and reading 2-D bar code. It has practical significance to improve the efficiency and to enhance the portability and flexibility of substation inspection scheme.

Abstract: Along with the fast development of high-technology fields in China, especially in aviation and aerospace, in order to meet the fast and accurate detection requirements of various magnetic material properties, to solve artificial measurement error and low efficiency on the current manual measuring way, a kind of automatic magnetic balance system was developed. The mechanism design, measurement & control system design and the main technical indicators were also described. The application results show that the automatic magnetic balance system can work stable and reliable, and the test capacity of the system is effectively expanded because of higher precision, higher measuring efficiency and more convenient operation, so the system can satisfy the testing requirements in the process such as scientific research, manufacture, teaching and etc.