Advanced Materials Research Vols. 915-916

Abstract: This paper presents a novel Multi-Degree-of-Freedom spherical reluctance motor with magnetic levitation, it analyses mechanism of magnetic force and electromagnetic torque that spherical motor generates. Conducted a comprehensive control of the spherical motor and analysis and simulate the results of the suspension control system. The simulation experiments show that the state synchronization suspension control owns high precision and immunity to interference.

Abstract: Sorting system is very important to logistics distribution center. This paper set convenience food sorting system for example, using AutoMod simulation software to model and simulate. Through analyzing the results of the system provided an optimized model to improve the efficiency of workers. The conclusion has important referring value to the actual operation process.

Abstract: This dual-ducted SUAV is a nonlinear and strong coupling of multiple-input and multiple-output system, and particularly between the pitch and roll channels channel coupling is strong, in order to implement effective control, it must be decoupled. The traditional methods are difficult to achieve effective control of the strong coupling of multivariable systems. Neural network which has a strong learning ability, is able to learn from the sample and can adapt to changing learning condition. Thus, the neural network can be used to simulate the learning process of operator, and operating characteristics information of objects can be excavated from the measured data, and accordingly change the parameters of the controller and decoupling network. This paper presents a attitude control algorithm of the dual-ducted SUAV which combine ADRC algorithms with neural network decoupling control algorithm, to design a SUAV decoupling controller. The simulation results showed that the attitude control channels between the pitch and roll were independently of each other, indicating a good solution to decouple the coupling between the pitch and roll channels based on neural network algorithm.

Abstract: According to the chattering problem in the traditional sliding mode observer of the position sensorless control of brushless DC motor, a novel quasi sliding mode observer for rotor position estimation was proposed, which took the error between the actual and estimated currents as sliding surface and tracked the actual rotor position according to the mathematical relationship of back EMF and speed of the motor. Then the sensorless control system of the brushless DC motor based on the novel sliding mode observer was designed. Simulation results showed that the novel sliding mode control method could improve the rotor position estimation accuracy and effectively suppress the chattering problem to enhance the robustness of system.

Abstract: Aiming to solve the switch problem between auto-and manual-operation of shearer memory-cut due to variation of coal seam conditions, this paper proposes a method that introduces the strategy of override control to the controlling system of shearer memory-cut. This study also improves the control of hydraulic system for lifting cylinder, and designs an override control system for lifting cylinder of shearer. The procedure for controlling the height adjustment mechanism is thus addressed to offer a new control means for reliable operation of the shearer during operations.

Abstract: It is known for rendering more torque in operation at low speed and suitably attaining high performance dynamic control for the inverter. This paper describes the research of ASR strategy for the spindle inverter control in CNC machine tool. The principles of the vector control and formulas for the coordinate transformation are illustrated. The accuracy of the torque depends on the accuracy of the motor parameters used in the control. So the powerful parameter tuning function should be enabled for all kinds of spindle to run effectively. The response of ASR will be perfect if the switching frequencies is used which is usually constant and set by the user.

Abstract: In the current environment of energy saving, dumper run energy efficiently that has great practical significance. The drive motor speed determines the roll-over machine efficiency, with the result that motor speed optimal control using adaptive PID control system. Contrary to the volume of PID control, using neural network online-tuning; On hand of network selection, RBFNN and F-RBFNN are selected. Compared with the classical PID control, the PID control based on F-RBFNN and RBFNN achieve the amount of online tuning the parameters of PID control. Especially, compared with RBFNN, F-RBFNN which combines a fuzzy logic technology and RBFNN is more suitable for real-time nonlinear control of the roll drive motor speed. Because parameters tuning more rapidly and static and dynamic performance and anti-interference ability more powerfully.

Abstract: ABS(antilock brake system) is one of the most important active safety technology for modern vehicles which could enhance vehicle active safety. In this paper, an improved sliding mode control method based on reaching law has been proposed to solve the vibration problem in traditional sliding mode control. The ABS control strategy has been designed based on the sliding mode variable structure control. On this basis, the ABS single wheel depending on control strategy has been designed to ensure the braking stability. By hardware-in-loop simulation, the results demonstrate that ABS sliding mode variable structure control could enhance braking stability performance and improve the control effect on high friction and low friction road.

Abstract: The vertical vibration of the in-wheel motor electric vehicle (IWM-EV) induced by large unsprung mass is analyzed based on power flow method. The simulation results show that due to the unsprung mass increase of IWM-EV, energy consumption of the suspension and wheel is increasing, which will cause adverse effects on not just the ride comfort but the maneuver stability. To decrease the effect, a new kind of vibration mitigation measure of the vehicle body absorber combined with an active hybrid control integrated the sky-hook and ground-hook methods is developed. The effectiveness of this measure is verified.

Abstract: Use of aerodynamics, air flow spectrum and gives the car body surface of the vehicle surface pressure distribution of the site prone to dust contamination was analyzed, designed body structure, and reduce eddy current flow separation zone, the body surface can be reduced dust pollution, body structure designed to provide a reference.