Applied Mechanics and Materials Vols. 380-384

Abstract: With the rise of international oil prices and the increasingly scarce of oil energy, the fuel consumption of cars has received more and more attention of the community. In recent years, the number of cars has sharply soared, and its resulting resource consumption and environment are more and more problems, the most direct solution is the production of pure electric vehicles or oil electric hybrid cars, due to pure electric vehicles technology is not yet mature, hybrid cars have become the best choice to solve the energy and environmental problems. This paper first expatiates the characteristics of three kinds of hybrid power system, and introduces the working principle and way of working of the hybrid electric vehicle system; the second part establishes the mathematical model of automobile hybrid, to give the expression form of resistance coefficient, air resistance, rolling resistance and acceleration resistance under the hybrid driven; for the three forms of separate control power system, the third uses MATLAB/ADVISOR control software to carry out simulation, to provide a theoretical reference for the design and application of automobile hybrid power control system.

Abstract: In the normal Smart home system, the hardware interface and the communication agreement were different from each other, so they cannot be used with a unified interface because the traditional home node was self-designed. An intelligent home control system based on cloud computing was proposed to solve this problem, the redundant processing ability of cloud computing was used, data storage and data analysis capabilities were used, data was collected by wireless ZigBee and transported to the cloud, a variety of protocols, interface and data processing were finished with cloud computing. The problem of disunion interface was solved with cloud computing.

Abstract: Compared with the fixed-wing aerial vehicles, small-scale unmanned helicopter (SUH) has the advantages of taking off and landing vertically, cruising under ultra low speed, and sustained hovering in the air. SUH has properties of nonlinear, unstable, strongly coupling, and applying control system for SUH is considered as a challenging task. This paper presents the design of the flight control system for a SUH. This flight control system consists of two parts, namely, ground station and onboard part. Various experiments have been conducted to test the performance of this flight control system, and some of the results are presented at the end.

Abstract: A parallel model reference adaptive control system was designed for reaching the optimal control effect and performance in the electrical control system based on the adaptive control theory. The control weighting coefficient was adjusted precisely in real time with the adaptive control theory for the matching and transmission of the self-performance and the out information, and the performance of the control system could reach optimal performance. But on the other hand, the adaptive control theory hadnt is applied in the torpedo control system. An improved electrical control system algorithm was proposed in this system based on the adaptive control theory. The torpedo control system was taken as the example, the parallel model reference adaptive control system was designed. The hardware circuit diagram of the control system was designed. And the control algorithm of the three-channel such as the pitch, yaw and roll of the torpedo control system was designed separately. And the output signal of the system and the software system of the three-channel torpedo control system was simulated. The design result and the simulation result show that the control performance is stable and the software system shows nice performance of human-computer interaction property and good perspective of application performance.

Abstract: In this paper, the instantaneous optimal control strategy of parallel hybrid loader is presented. The aim is to achieve the real time optimal allocation of internal combustion engine (ICE) torque and motor torque in any driving cycle for loader. Thus, all combinations of the ICE torque and the motor torque is determined in any demand torque. Then integrated instantaneous fuel consumption (IIFC) is calculated as a target function, by establishing the equivalent relationship between the electric energy consumption of battery and the fuel consumption, which is converted to the electric energy. When the minimum integrated instantaneous fuel consumption is found, the instantaneous optimal allocation of ICE torque and the motor torque is achieved. Finally in order to verify the functionality of the control strategy, the vehicle and the control algorithm co-simulation model is built on AMESim and Matlab/Simulink platforms. The simulation results show that the strategy is able to improve the fuel economy by more than 10% while ensuring the vehicle power performance.

Abstract: According to the characteristics of probe motion of Amplitude Modulation Atomic Force Microscopy (AM-AFM), the model of AM-AFM probe dynamic process is obtained through Euler - Bernoulli's equation. Based on AM-AFMs negative feedback control system with a fuzzy PID control module, a complete AM-AFM system simulation platform is established. By using fuzzy system, fuzzy PID controller makes the real-time adjustment of PID parameters come true, that is, this method overcomes the difficulties of traditional PID parameter tuning and thus high-quality control effect is achieved. Moreover, this article got a set of initial value of off-line adjustment using Ziegler-Nichols method. The value is applied in the setting of fuzzy center so as to further improve the control effect. The simulation of the scanning of two typical samples is made to demonstrate the control effect of fuzzy PID. It proves the control effect of fuzzy PID and indicates that fuzzy PID can significantly improve the AM-AFM image quality of samples which have steep surface.

Abstract: In paper, the problem of robustify LQR for a class of uncertain linear systems is considered. An optimal controller is designed for the nominal system and an integral sliding surface is constructed. The ideal sliding motion can minimize a given quadratic performance index, and the reaching phase, which is inherent in conventional sliding mode control, is completely eliminated. Then the sliding mode control law is synthesized to guarantee the reachability of the specified sliding surface. The system dynamics is global robust to uncertainties which satisfy matching conditions. A GROSMC is realized. To verify the effectiveness of the proposed scheme, a robust optimal sliding mode controller is developed for rotor position control of an electrical servo drive system.

Abstract: The paper describes a hybrid approach to the problem of controlling permanent magnet synchronous motor (PMSM) with unmodelled dynamics and unknown external disturbances. First, the backstepping sliding mode (BS) controller based on the equation of PMSM is elaborated. Its effect is to achieve a stable control. Then the cerebellar model arithmetic computer (CMAC) controller is implemented to compensate uncertainties. Furthermore, the nonlinear disturbance observer (DO) is applied to estimate the time-varying lumped disturbance D(t) for improving the precision of the tracking control. The proposed CMAC-based method can acquire high control performance in the presence of disturbance and guarantee the stability of closed-loop systems on the basis of the Lyapunov theorem. The effectiveness and robustness are demonstrated through simulation results obtained for the tracking control of PMSM.

Abstract: In this paper, the concept of intelligent tire and road surface information measurement methods are introduced, and the sliding mode algorithm for traction control system based on intelligent tire is proposed. By applying braking torque onto the driving wheels, the slip rates are adjusted to maintain within the optimal region on different road surface, and the optimal longitudinal traction is achieved. According to the simulation results on the CARSIM and MATLAB co-simulation platform of several working conditions, the TCS based on sliding mode control method improves the traction performance on different road surface effectively.

Abstract: The chemical production is vital to the development of our country.It is greatly significant to improve the ammonia synthesis production control project and to increase the economic returns. In allusion to a controlled object with coupling characteristics,in this paper RBF neural network decoupling controller is designed to realize the decoupling control of the synthetic tower temperature. Through the comparison of the simulation test results, the scheme shows that it has a better control effect than the conventional PID decoupling control method, so, if the scheme could be used in the actual chemical production process, it shall have a certain value in use.