Parameters identification of passive force control system based on genetic algorithm

Using upper and lower bounds of the parameters a genetic algorithm parameters identification method is proposed. First the mathematical model structure of passive force control system is built, then searching the best parameter values between the upper and lower bounds of the parameters using genetic algorithm method with the goal that under the inputs of system the output approximates the output of experiments. At last use another group of experiments data to test the efficiency of the identification parameters. The result shows that the identification parameters can approximate the real system well. This identification method can be used in the parameters identification of complex dynamic system.