Research On Single Neuron Controller Based On CAN Field Bus

CAN (Controller Area Network) bus is a kind of popular field bus, which is recognized as one of the most promising field bus with its high reliability and particular design style. The characteristics and the merits of the field bus and CAN bus are analyzed, and then the communication protocol of CAN bus and the structure and function of CAN controller are discussed in this dissertation. Furthermore, its application scope and the perspective are proposed.The control algorithm of single neuron possesses many characteristics such as self-study ability, simplicity and high precision, which do not depend on the mathematics model of the plant. In addition, its self-adaptability and robustness behave well too. This algorithm can be implemented by MCU (Micro-programmed Control Unit), especially suits for the black-box system whose parameters identification is difficult and for the system in which parameters may change in process. It has been applied in many fields and achieved good effectiveness. Some study algorithms of single neuron control under different study rules have been introduced in this dissertation. The self-adaptability and robustness of the single neuron are discussed and analyzed in theory.Based on the two kinds of advanced technology mentioned above,an intelligent controller is designed, which adopts the algorithm of single neuron and possesses CAN communication ability. It can be used to form a field bus control system in combination with other intelligent instruments.The algorithm model and the mathematics model of the plant are set up and simulated by the software Matlab/Simulink. The influence of the parameters upon the control result can be assessed with changing parameters and observing the output curve. The state variable model and the algorithm model of single neuron can be set up with Simulink. Consequently the step response, dynamictrack and anti-disturbance performance of the algorithm can be analyzed, whose results are compared with those of the traditional FED algorithm. Moreover, the improved algorithm is advanced, in which parameters can be modified online based on the nine-point control algorithm.At last, a controller is designed in which the hardware circuits and software are introduced. The controller mainly consists of communication interface, human-machine interface and the memorizer. The program including CAN communication and the control algorithm of single neuron is programmed with C51 language. The main program diagrams are depicted.The research result of this dissertation will contribute to the combination and the development of the field bus technology and the control algorithm of single neuron. It will have great signification on the development of field bus control system and the advancement of the national automation level.