The AC electric control system of oil drilling rig is mainly controlled by multi-motor variable-frequency control.Aiming at the problem that the coupling multi-variables caused by the nonlinear,uncertain and non-minimum phase factors of asynchronous motor cannot be accurately controlled,a multi-variable decoupling control method of oil drilling rig electric control system is proposed.The motor model is established in the static coordinate system.The adaptive PID neural network is used to decouple the multi-variable parameters,and the important variables such as speed and excitation are reduced.The feedforward compensation method is used to eliminate the high-order nonlinear part,and the neural network decoupling is added to the low-order nonlinear part.The coupling effect is eliminated by the generalized time domain response curve.and thus to optimize the frequency conversion control parameters.The experimental results show that this design can realize the decoupling of speed,excitation and other parameters in multiple motors,the system has good stability,and the robustness of its closed-loop control is well.
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