(Department of Electrical Engineering and Applied Electronic Technology, Tsinghua University, Beijing 100084, China) Theory, design and implementation of an asynchronous motor vector control scheme based on auto-disturbance rejection controller. The perturbation of the coupling terms and parameters in the motor model is regarded as a system disturbance. The observations are compensated by an extended state observer and compensated, which simplifies the system structure and improves the response speed. In order to reduce the computational complexity, the typical structure of the auto-disturbance rejection controller is simplified to shorten the control period by about 1/2, which improves the real-time control performance. Simulation and physics TD can obtain fast tracking signals of the generalized derivative of the input signal through the integral method, and improve the signal-to-noise ratio. At the same time, the transition process can be arranged during the step transition of the input signal, which can effectively reduce the overshoot NL. -PD uses a non-smooth feedback method to reduce the steady-state error by an order of magnitude. Therefore, the controller can be designed using only proportional and differential links, avoiding the side effects of integration. The ESO can expand the one-dimensional method to estimate the system disturbances (including external disturbances and the uncertainty of the internal model) in real time and compensate them to make the system linearized into an integrator series structure, which simplifies the control object and facilitates improvement. Control performance: Visible that the rotor flux j is completely controlled by isd. If j is kept constant, then the electromagnetic torque of the motor is proportional to isq, and the flux linkage and torque realizes the presence of isd and “decoupled†stator voltage equations. Cross coupling makes it difficult to control. Using the characteristics of ADRC, cross-coupling terms in the system and model errors caused by inaccurate parameters can all be attributed to model disturbances. ESO can be used for observation and compensation. In order to avoid overcurrent during motor operation, excitation current and torque current must be used. Limiting control is performed, so the rotor-field oriented double closed-loop control scheme shown is used, ie, four controllers are used to adjust. In addition, during the operation of the motor, the rotor resistance is the most varied motor parameter affected by the temperature rise. The effect on the system performance is also the greatest for these model disturbances. Using the flux adjustment as an example, the ESO model can be established, as shown in the following equation. : where: fr is the rotor flux amplitude obtained from the ESO observation; iSd is the input control quantity of the flux linkage adjustment, and is also the set value of the d-axis current regulation; Rr is the programmed rotor resistance value; Z0 is the parameter perturbation Observed system disturbances. There is no differential output of the flux linkage; TD accordingly only plays the role of filtering, avoiding overshoot caused by the mutation of the setpoint, so it is replaced by an ordinary filtering link; the NL-PD also requires only the proportion P to participate in the adjustment compared to the derivative with nonlinearity. Adjusted typical ADRC model, the simplified system structure is simple, the amount of calculation is reduced by about 1/2, the response speed is fast, and good practical control performance can be achieved. The same can be established for other parts of the ADRC model, as shown in the following formula Considering as many known terms as possible, other coupling items that are difficult to Handle and parameter disturbances are attributed to system disturbances, and observed. In this way, four first-order ADRCs are used to realize rotor-field-oriented vector control of speed and flux double-loop regulation. The system structure is relatively simple, taking into account the coupling of the stator voltage equations, and the influence of the model parameters changes, and the robustness is strong. 2 The results of digital simulation and physical simulation show that the ADRC regulates speed relatively quickly compared to the traditional PI regulator control method. ,The dynamic drop is low, and there is no overshoot, indicating that the latter has stronger damping force and greater stability margin. 2.2 The physical motor runs at 45Hz. If the load is sudden, the torque current and voltage will reach the limiting value. , have a certain influence on dynamic adjustment. Therefore, it is appropriate to display the system to the process, as shown. In addition, in order to verify the robustness of the system parameters, the influence of rotor resistance changes on the control performance was investigated experimentally. Considering the variation range of motor temperature, the rotor resistance generally does not change by more than 40% of the original value and the actual value of the quantitatively variable rotor resistance is difficult to achieve. Therefore, the relative perturbation principle of parameters is used in the experiment to change the rotor resistance setting value in the controller. To approximate the actual value perturbation. Bc are the experimental waveforms of the rotor resistance setting values ​​in the case of 60% and 140% of the actual value. The load dumping experimental waveforms of the auto-disturbance rejection control system show that the system can be started without load quickly and without overshoot load dump (7( In the case of % rated load), the dynamic speed increase is approximately 0. % of the rated speed, while in the case of the same load, the typical value of the dynamic speed increase of the control system based on the PI regulator is 2% to 3% of the auto disturbance rejection control system It has better dynamic performance. At the same time, the change of the rotor resistance has almost no influence on the anti-jamming performance and damping force of the system, and the robustness is strong. 3 Conclusion This paper applies the auto-disturbance rejection control theory to the rotor field-oriented vector control of asynchronous motors. A simplified auto-disturbance-rejection controller enables fast adjustment of the flux linkage and torque Compared to conventional PI regulators, the auto-disturbance-rejection controller can effectively observe the model disturbance of the system and add feed-forward compensation to improve the system. The response speed and the non-linear adjustment method effectively solve the contradiction between the rapidity and overshoot of the general linear regulator.The simulation and experimental results show that the control system has excellent Dynamic control performance, and strong robustness parameter. High Quality Padlock,Good Quality Padlocks,High Security Padlock,Electronic Padlock Nanjing Toutru Trading Co., Ltd. , https://www.tcdoorlock.com