Liu Xingqiao

Application of an adaptive controller with a single neuron in control of multi-motor synchronous system

The paper takes the multi-variable of synchronous system of the AC induction motors as study object, focuses on the system of induction motors powered by current-tract SPWM transducers, establishes the unified model of the system of two motor depends on the alpha, beta static reference frame. It adopts the adaptive PSD controller with multi-variable single neural unit to perform the decoupling control of speed and tension of the system. The results of simulation and experiment prove that the controller has higher speediness, fine control precision and good robust.

Remote Monitoring and Controlling System of Factory Aquatic Products breeding

The paper briefly introduces the constitution and the theory of operation of a computer-based remote monitoring and controlling system of factory aquatic products breeding with multi-environmental factors. This system is composed of many single-chip microcomputers used as fishponds controlling computers and two industrial control computers, one is used as remote monitoring computer and the other as field monitoring computer. It takes GPRS radio communication and Internet technology to communication between remote monitoring computer and field monitoring computer. The system can detect and control the breeding environmental factors such as temperature, content of dissolvent Oxygen, pH, water level, opacity and so on. It realizes the real-time monitoring and controlling the growth of the fish by computer image processing technology and it takes fault tree analysis technology to make the system reliability design. Once the system fault happens and the fish occurs pathological changes and unwell, the system can give an alarm in time and inform the manager automatically by short messages.

Using MATLAB image processing to monitor the health of fish in aquiculture

A particular and real-time image processing application is proposed to detect pathological changes to fish. Images are periodically acquired from a video source using specialized control software. Then, analog signals are converted into digital signals by image collection card. According to the theory of shrink and expand, binary image is used to eliminate impurity. After that, use the concept of area-square to find out the changes of pathological fish, that is the area of the white pixel. Thus, as long as counting out the number of white pixel and comparing with the statistical data, the condition of the fish will be immediately found out. And the processed results can be returned to control software and displayed in real time.

Multi-motor synchronous system based on neural network decoupling control

Taking the multi-variable of synchronization system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the system of two motors is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the two-motor synchronous system is decoupled based on the controller designed with better dynamic and static characteristics and following performance.

Application of Fuzzy Control in Multi-motor Tension Control System

Through the analysis of the multi variables, nonlinear and strong coupling system of two AC induction motors, this paper designs a fuzzy PID controller that the structure is simple and the application is easy. The fuzzy control does not require a precise mathematical modeling of the system nor complex computations. It only relies on the human capability to understand the systems behavior and is based on qualitative control rule. It is applicable of the nonlinear system of two AC induction motors control system[1]. This paper gives fuzzy controller structure in two AC induction motors control system and defines fuzzy sets for each input and output variable. Rule tables for fuzzy control are obtained from the analysis of the system behavior. Through the two different fuzzy PID controllers in the speed feedback and the tension feedback, both the speed and tension response are greatly improved. On the basis of a lot of experiments, the expert experience and the theory about the fuzzy control, the paper builds a fuzzy decoupling controller. The experimental results show this system has good performance and applicable value.

Three-Motor Variable-Freqency Speed-Regulation Synchronous System Based on Neural Network Control

Three-motor variable-freqency speed-regulation synchronous system is a multi-input multi-output(MIMO), nonlinear, and coupling system. The mathematic model of the system is established in the way of analytical expression. Self-tuning PID controllers based on DRNN neural network and neuron decoupling compensator are adopted to realize the adaptive decoupling control of speed and tension. The experiment results show that compared with traditional PID constant parameters control, the control system can obtain optimal parameters of the PID controller according to online idetification the DRNN network, realize the better decoupling control of speed and tension, and possess better dynamic and static characteristics and good robust.

Research of soft switching in digital control H-bridge ZVZCS converters

This paper proposes a digital control system based on ARM micro processor LPC2214, analyses this control systempsilas structure and realization, and introduces a practical full bridge phase-shift ZVZCS PWM converter topology. Theory analysisses and experiments have showed that this PWM full bridge converter based on the digital control can realize ZVS of the leading-legs and ZCS of the lagging-legs in the whole range of load. It has a lower loss and cost , but a better prospect.

The synthetical compensation research on high-order harmonic and reactive power

With the continuous development of water-saving irrigation, agricultural productpsilas deep process, greenhouse control in the agriculture, more and more variable frequency equipments, rectifier devices and other power electronic equipments have been used. But owing to the use of these equipments, harmonic pollution problem in power grid is more serious. Active filter is an effective method to the pollution now. Based on the instantaneous reactive power theory, a new way to detect both instantaneous reactive current and high-order harmonic current is proposed. By this way the high-order harmonic and fundamental reactive power are synthetically compensated. Our studying group has developed a synthetical active filter system, which uses the large power transistor as the main circuit, TMS320F240 processor as controller, and connects possible LC power filter and active power filter in series. The experiment results show that the system can effectively filter 5,7,11 degree-order current harmonics and prove that the way is correct and feasible.

A reformative single neuron adaptive PSD controller of multi-motor synchronous control system

The paper takes the multi-variable of synchronous system of the AC induction motors as study object, focuses on the system of induction motors powered by current-tract SPWM transducers, establishes the mathematical model of the system of two motors. It adopts a reformative single neuron adaptive PSD controller that based on variable speed integral separation to perform the decoupling control of speed and tension of the system . The results of simulation and experiment prove that the control system has higher dynamic and static status and following performances than traditional PID, and realize the better decoupling control of speed and tension of the system.The control system has good application prospects.