Applied Mechanics and Materials Vols. 602-605

Abstract: This paper presents that single input single output (SISO) switched nonlinear system tracks the variation of the state error to approach the excepted values by using model reference adaptive control (MRAC) method. In order to improve the adaptive control for nonlinear systems by Using Narendra method and dividing the system into two parts: linear and nonlinear parts. The controllers are designed to guarantee that the systems are closed to the model reference system with the arbitrary switching signal. Switching systems can ensure choose the best controller so that can enhance the performance. The adaptive laws are given that are based on a class of feedback single input single output nonlinear uncertain systems which can switch feedback linear standard models. The adaptive laws are different from the classic adaptive laws, because they vary with different switching signals until the best matching one comes. Simulation results show that the proposed method is effective.

Abstract: In the paper, the fault-tolerant control strategy for the aero-engine electronic control system is researched based on the Model Reference Adaptive Control method. In the design process, a new reference model design method is proposed with the Raccatti equation, which can guarantee the reconfiguration system have satisfactory performance. According to the sensor failure models, the failure system mathematic model is given. Lyapunov stability theory was applied to obtain the adaptive control law through design a Lyapunov function, which can ensure the strictly positive realness and global asymptotic stability for the reconfiguration control system. For the typical sensor failures, the reconfiguration effect with the control strategy is simulated and verified in the Matlab, which revealed that the aero-engine control system could operate well under the failure with the fault-tolerant control.

Abstract: In order to improve the control effect of vehicle suspension, the simplified Seven-DOF active suspension model was created in ADAMS/View by applying the dynamics theory, and classical PID control principle was utilized to design an active suspension controller for vehicle. The vehicle model was imported into the PID controller established in MATLAB as a module to create a vehicle active suspension control model. According to the simulation results, compared with passive suspension, the PID control of active suspension can control effectively the vertical vibration acceleration (VVA),roll and pitch acceleration (RAA&PAA) of body ,which improved vehicle ride comfort performance.

Abstract: In order to alleviate traffic jam, an intelligent traffic signal control system base on ARM Cortex-M3 is implemented. In the system, STM32F207 is processor. Embedded RTOS CoOS is transplanted to achieve multi-task control of traffic signal in software design. A new multi-population genetic algorithm is developed to optimize green ratio. The result analysis shows that the system has stable performance and it makes the optimization of green ratio convenient and swift.

Abstract: The process of Argon-bottom-blowing is widely used in steelmaking, Argon is used to stir molten steel fully and uniform the composition and temperature to improve the quality of molten steel. In this paper, Argon-bottom-blowing supply system is selected as the research object, there exits big delay because of the long gas pipeline. In order to overcome the adverse effect of time-delay, the reasonable Smith predictor is designed, which try to make PID regulator act in advance and reduce system overshoot amount. The simulation results show Smith predictor and PID controller are connected in parallel, the influence of time-delay can be eliminated and satisfactory control effect can be obtained.

Abstract: Applying controllable pendulum to indicating vertical is a new method which can be used for autonomous navigation. There are some studies on the method and it puts forward the existing problems. In this paper, it carries on the preliminary study on drawbacks that it exists steady-state error in controllable pendulum, and designs a new control scheme combined direct control with indirect control while there is step perturbation. Then it designs the corresponding control law by using observer with state feedback and decoupling control. It makes software simulation by Matlab and the results show that the controllable pendulum can be controlled well to indicate vertical by using the designed control scheme and control law when it exists step perturbation.

Abstract: Railway stations automatic gate system is an important part of railway passenger transport management system. The scientific and reasonable configuration of railway station ticketing equipment and reasonable choice seized outlets is significant on effective passenger organization, give full play to the ability of the equipment, and improve the operation and management level and service quality. Based on the field investigation, the actual utilization of automatic gate system of Beijing Tianjin intercity line on Beijing South Railway Station is calculated and analyzed. Finally, based on the analysis results and the calculated data, simulation is conducted for automatic gate system of Beijing Tianjin intercity line on Beijing South Railway Station using WITNESS and then propose optimized scheme.

Abstract: A water level automatic control system based on SCM AT89C52 as a control core is designed in this paper. The system can automatically detect the water level by using a pressure sensor and can realize the intelligent control of water-level according to the difference between the real-time water level and the preset water level by using a big and a small water valves controlled by electric relays. At the same time, the system also has the functions of presupposition and real-time displaying of water level. The control system has the characteristics of simple intuitive control interface and good human-computer interaction. Protues simulation proved that this system achieve water level control well.

Abstract: Aiming to solve the problem of mobile robot path planning, environmental models are established by using grid method at first, each grid is treated as a neuron, and then the whole space is changed into a topology-form one with all neutral net. Secondly, biological inspired neural networks (BINN) method towards neutral net is adopted to complete path planning of mobile robot. Furthermore, non-optimal solutions potentially produced in neutral net are modified in BINN. Simulation experiments show the feasibility and effectiveness of BINN method.

Abstract: Control system of the Plastic injection molding machine formed by electric relays and switching valves has many shortcomings, such as complexity wiring, low control accuracy, inconvenience maintenance and lack of flexibility, using the simulation assessment of the actual application method, this paper designs the injection molding machine control systems based on PLC controller, the new control system is composed by PLC, inverter, sensors and other components, with the help of PID control, which according to the given screw barrel temperature deviation value and measured value, automatically adjust and stabilize of the entire control system. Simulation experimental results show this new control system can achieve better performance is effective, which will decrease energy consumption of the stabilization system; the research achievements have certain theoretical and practical value to the design of injection molding machine control system.