Abstract: Abstract: For agricultural motor drive applications, reliability and stability are very significant, and even under disturbance condition, stable drive operation is essential. In view of the characteristics of the bearingless induction motor, which includes multi -variables, nonlinearity and high coupling, an adaptive inverse decoupling control strategy for the bearingless induction motor based on the nonlinear adaptive filter was proposed to improve the efficiency and reliability of the motor drives. First, the mathematical model of a bearingless induction motor was deduced through analyzing the generation mechanism of a bearingless induction motor's radial levitation force. By adopting the control theory of an adaptive inverse control system and the principle of a nonlinear adaptive filter, the model and inverse model of the torque system and levitation system were established respectively, including the option of the structure of nonlinear adaptive filter and the adaptive algorithm. Based on the inverse model, the adaptive inverse controller which cascaded in front of the corresponding system was designed by making use of the algorithm of variable step size least mean square (LMS) to adjust the weighting factors online. The difference between the given input signal and the system output signal was used as the error signal of the adaptive algorithm of variable step size LMS. In addition, compared to the traditional field oriented control method, this method did not need to rely on torque system to transfer flux information, which avoided the mutual restriction among the control strategies, and solved the coupling problem between the variables in the modeling process. Then, aiming at the performances of rotor flux, speed, torque and levitation response, the simulation and analysis of the adaptive inverse control system for the bearingless induction motor wew carried out on the basis of MATLAB/Simulink simulation platform. Moreover, the initial given value of motor speed was set to 2 000 r/min, the initial value of rotor flux-linkage was 0.65 Wb, the initial radial displacement in horizontal direction was 0.1 mm, and the initial radial displacement in vertical direction was -0.15 mm. The simulation results showed that the stable levitation of the bearingless induction motor could be quickly achieved by this control strategy. Through the comparison with inverse system control, the speed response was faster, and the speed overshooting was smaller in the adaptive inverse control. Further, when the rotor speed suddenly changed from 2 000 to 4 000 r/min at the time of 0.3 s, the speed response of the control system could track the given speed well with a very small steady state error. The magnitude of the error was about 50 r/min. The levitation performance of the rotor was not affected by the sudden change in the load torque. When the radial displacement in horizontal direction changed from 0.1 to 0.01 mm at the time of 0.45 s, the speed response and the radial displacement in vertical direction were nearly unchanged. The simulation results also proved the correctness and effectiveness of the proposed adaptive inverse control method, which achieved the decoupling between rotating force and levitation force of the bearingless induction motor, the dynamic decoupling between the two freedom degrees of the radial levitation force, and the dynamic decoupling between rotational speed and rotor flux linkage. The control system has a fine dynamic and static performance. This research provides the reference for the development of agricultural equipment with the bearingless induction motor.