| In the modern industrial production, high performance synchronous coordinated control ofmulti-motors can improve the quality and the rate of finished products of products in machineryindustry, metallurgical industry, paper industry, textile industry and so on. There is materialconveying or similar process in the product manufacturing, in which process the accuracycontrol of speed and tension is the key to guarantee product quality. However, speed and tensionare mutual coupled. The problem we focus on is how to control speed and tension coordinately.Therefore, it’s most importantly significant to study an efficient and accuracy algorithm tocontrol speed and tension respectively.This thesis chooses the synchronous system of three AC motors as study object, which areconnected by conveyor belt, and has analysis and research on it, then DRNN–PID(DiagonalRecurrent Neural Network, DRNN) algorithm based on GA (genetic algorithm) is adopted torealize the coordinated control of speed and tension.Firstly on algorithm aspect, the definitions, principles and characters are analysed anddiscussed on GA and DRNN in the thesis. Then, an improved adaptive genetic algorithm is usedaiming at the deficiencies of general genetic algorithm in the thesis., such as early convergenceand parameter selection, the computational formula is provided in which cross rate andmutation rate are self-adaption. The initial parameter values of DRNN-PID algorithm areobtained from the iterative learning training of the improved genetic algorithm, which are usedin DRNN-PID algorithm. At last the speed and tension of system can be coordinatelycontrolled.Secondly, three-motor speed tension system is analyzed, its mathematic model is establishedin the thesis, and the control module of the system is built to simulate. The results show that theDRNN–PID algorithm whose initial value is optimized can tune PID parameters on line,achieve excellent control effect, notably improve the system dynamic and static characteristics,increase the system stability and robustness in the control towards multivariable nonlinearsystem. |