| Shunting and winch system is mainly used in large coal washing plant, coalstorage and transportation terminals and coal storage base, the realization of the rapidtransportation and loading of coal. The performance of shunting and winch controlsystem directly affects the efficiency of coal loading, and high efficiency willinevitably reduce the cost of coal transportation. Therefore, to improve theperformance of shunting and winch control system is imperative.PID regulator is the most mature technology and widely used in the continuoussystem. PID regulator uses proportional, integral and differential rules to regulate thecontrol system. Also, according to input deviation, PID regulator uses proportional,integral, differential rules to compute, and uses the results to obtained for the output.However, with the advances in industrial technology, more and more people areseeking for the pursuit of precision and quality control, the traditional PID controllerparameters are difficult to adjust, so PID controller parameters optimization has drawnincreasing attention.Genetic algorithm is a search algorithm which bases on natural selection andgenetic mechanism. It simulates the natural genetic and natural selection occurs duringthe breeding, hybridization and mutation of the phenomenon. It has been widely usedin the field of process control with its strong ability of global optimization androbustness.For coal transportation in the shunting and winch system PID tuning is proposedadaptive genetic algorithm for parameter optimization of PID control, the adaptive linegenetic algorithm combined with PID control technology, simulation achieved by shunting and winch system in the coal application, simulation results show that theonline adaptive genetic algorithm for online optimization of PID parameters comparedto traditional adjustment methods with better robustness, optimality, can better realizethe automation of regulator parameters. |
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