Gong Chenglong

Research on 1-Wire Bus Temperature Monitoring System

Based on 1-Wire bus technology, the 1-Wire bus temperature monitoring MicroLan was designed through using computer serial communication port, protocol transform chip DS2480 and 1-Wire bus digital temperature sensor DS18B20. The structure, character, ROM command, function command of DS18B20 and operating principle of DS2480B were analyzed. Consequently, the interface circuit between 1-Wrie bus and COM port is provided. At the same time, operating interface of 1-Wire bus temperature monitoring MicroLan was well designed by using the DLLs and API functions provided in the TMEX SKD by Dallas Corporation and taking DELPHI as developing tool. Finally, the existing problems and improving methods was put forward.

A Fuzzy-PID Control System of PTFE Sintering Furnace Based on Lonworks

This note introduces an industrial control system which adopts fuzzy-PID and Lonworks. According to the character of a class of time-delay and great inertia first-order system, we chose a combined-control strategy that On-off control or Fuzzy-control or PID control strategy were selected automatically, so accurate control to the four PTFE (Polytetrafluoro-ethylene) molding furnace sintering process such as sintering temperature, sintering time, cooling speed etc were achieved. App effect shows, temperature control precision is 0.5%, initial tracking error, maximum exceed error and final error are 2.5, 2.0 and 2.0 Celsius respectively. It proves that the combined-control system is better than the singularity structural such as PID or Fuzzy in fleetness and robustness and steady-state precision.

Wide-Range Dynamic Signal Pre-Processing Circuit to Rayleigh Wave Seismic Prospecting Apparatus

A novel method for Rayleigh wave signal preprocessing with a new structure ADC was proposed. By investigating the deficiency of traditional Rayleigh wave prospecting apparatus in effective dynamic range and exploration precision, this note brought forward a new floating-point ADC signal channel. Signal amplifying and offset error self-compensation algorithm were discussed. APP show that system transient dynamic range/tiptop signal frequency of fleet-level, middle-level & deep-level are 90 db/1536 Hz, 90 db/200 Hz & 84 db/156 Hz respectively, and the upright exploration resolution of middle & deep-level is better than the traditional floating-point ADC and Sigma-Delta ADC prospecting apparatus.

Design of the Durability Test System for Motorcycle Wheel Speed Sensor

Based on the virtual instrument technology and the modularized method, the motorcycle wheel speed sensor durability test system was finished in this paper. The testing principle, hardware and software modules of the system ware introduced, the software design process, parameter settings and so on ware also introduced. The motor consecutive rotating and stopping was realized automatically in specified time, at the same time, four channels signals ware sampled. Parameters test automation, digital, intelligent were realized, and the test efficiency, accuracy and reliability were improved. The results show that this set of self-developed test system could meet the durability testing requirements of motorcycle wheel speed sensor, besides, the system is advantageous of being short cycle, low cost, good opening and so on.

A Telecontrol Net Based on Power Line Carrier Communication

This paper introduces a telecontrol net in which low-voltage power line carrier transceiver PL2101 was used. Measures of advancing communication reliability such as net identification code and CRC technique were used, so the net can watch 255 field bittern pumps within 2 kilometer at 500 bps with no transmission relay circuit. The paper discusses the communications data frames and presents hardware & software design of the field controller used in a saltern bittern pumping system too.

Research on disturbance in nearspacevehicle longitudinal trajectory system

Considering the severe changes of aero-dynamic parameters and susceptibility on the external disturbances of nearspace vehicle (NSV), a backstepping control strategy with robust adaptive dynamic surface is proposed in this paper for the disturbance problem in the NSV longitudinal trajectory system during the hypersonic process. Firstly, the complex nonlinear longitudinal dynamic model is transformed into nonlinear affine model by using the input-output feedback linearization method. Meanwhile, the “computer explosion“ in the computation procedures for derivatives is avoided with the estimation of the virtual control law in one-order low pass filter. Then,the robustness item in the virtual controller ,which combined with approximation capability of neural network, is used to eliminate the parameter uncertainties and external disturbances in NSV. The simulation results show the improved robustness in this method with reduced complexity.

Nonlinear System Control Based on Multi-step Predicted and Neural Network Inverse

A multi-layer forward neural network acted as the inverse controller, which was trained with predictive optimization algorithm to compensate for disturbances and uncertain plant nonlinearities, and reverse control based on neural network is implemented in complicated non-linear system. The weights of neural network inverse control were trained by multi-step predictive index function, thereby the system has the character of predictive control. The method has faster dynamic speed than general neural network inverse control, and has better performance of the response. The simulation results have shown the effectiveness of this method.

Automatic classification algorithm of urban building based on corner analysis

An automatic type estimation method of the urban building is presented in this paper. This work analyzes the corner characteristic of common city buildings. Using morphological sieves of large scale, rough building contours are obtained. This method uses the segments and corners optimization to group each corner, and realizes the automatic differentiation between flat roof building and non-flat building. Finally, simulation examples show the validity and effectiveness of the proposed method.

Dual-Screw Profile Extruder Fuzzy-Control System Based on LonWorks

This paper study a dual-screw profile extruder with erose taper used in PVC-U molding processing, presents a temperature computer control system in which a combined-control strategy of on-off control, fuzzy-control and integral-control were adaptive elected. Lonworks were adopted as system fieldbus to construct a net to regulate the extruder’s sub-areas temperature in line. App effect shows that the temperature control precision is ±1% and the method of multi-subarea control in line with Lonworks filedbus has better effect than those sub-areas self-governed control, and can prevent PVC-U decompounding in the processing effectively, so the character of PVC-U manufacture could be improved.

Inverse System Decoupling Control for Induction Motor Based on Neural Network On-Line Learning

The induction motor is a MIMO, nonlinear and high coupling system. The reversibility of the induction motor is testified. Consequently, a pseudo-linear system is completed by constructing a neural network inverse (NNI) system and combining it with the motor system. The inverse can transform the MIMO nonlinear system into two SISO linear subsystems (i.e., rotor speed and flux subsystems). In order to approach the inversion exactly in operation of the motor, the control method online learning based on NNI system is proposed, in which connection value can be amended continuously on-line to make the NN adapt to the changes of environment to strengthen its robustness. Experiment results have shown that NN can be adjusted in the control process. The good applicability of NN along with the strong stability and robustness of the system can be achieved by using the proposed method.