With the economic progress and the continuous development of science and technology, the research of asynchronous motor has attracted wide attention from all walks of life. Because of the adverse reaction of delay and overshoot in the vector system of asynchronous motor during the operation of traditional PI control mechanism, the relevant managers should upgrade the project effectively according to the technical characteristics. The basic functions of the whole system can be further optimized only by the project analysis of the optimization of the fuzzy PI controller. In this paper, the vector control mechanism of asynchronous motor is briefly analyzed, and the design mechanism and simulation analysis of fuzzy PI controller in asynchronous motor vector control system are discussed in order to provide necessary data and technical parameters for relevant researchers.
Asynchronous motor control mechanism has become the focus of social attention, not only to focus on the corresponding control structure, but also to establish an effective regulation system. The basic speed regulation mechanism of induction motor is frequency conversion speed regulation system, the most important component of which is pulse width modulation. In the process of operation of pulse width modulation measures, the corresponding technical parameters and key points have made great progress compared with the traditional speed regulation mode, the relative suppression effect and response effect are better, and the actual electricity is also better. The pressure utilization rate is high, which can ensure the optimal operation of the whole system to a certain extent. In addition, the current waveform distortion of the basic system is relatively small, and the overall torque ripple is low, which is widely used in related projects in China. In addition, the basic model of asynchronous motor is very complex.
In order to establish an effective corresponding structure, the relevant personnel need to conduct centralized processing and optimization analysis, and focus on its time constants. The traditional PID mode will not only produce a certain degree of time delay, but also overshoot, thermostatic element which is not very satisfactory for the overall system performance indicators. As an advanced fuzzy control mechanism, it is an effective intelligent control system. It can centralize the control of switching table by using basic voltage vector, and realize the real-time control of the whole torque and speed. It can fundamentally improve the safety performance and stability characteristics of the whole control system. In the process of researching the corresponding system, the relevant personnel should concentrate on the connotation of the corresponding system, carry out effective data analysis and information processing. The vector control mechanism of asynchronous motor is to form an effective transformation theory based on the basic coordinates of the asynchronous motor in the course of operation, starting from the three-phase coordinate system and making use of the corresponding number. According to the relationship, the stator is input into the current conversion structure, and it is guaranteed to be effectively transformed into two rotating coordinate systems. The corresponding M and T axes are established to make the M axes along the total flux vector direction of the rotor, so as to obtain the equivalent DC current. Then the equivalent current of the asynchronous motor is decomposed into the DC current of the input current, and the corresponding DC current is obtained.
Dynamic speed regulation characteristics, the basic schematic diagram is shown in Fig. 1. In the process of establishing the corresponding operation structure model, three-phase stator windings A, B, C and the corresponding rotor windings a, B and C are set as the basic windings. The two windings are symmetrically distributed in space, and the magnetic potential generated by the phase current difference in the structure is sinusoidal in space, if the temperature and the frequency variation parameters of the foundation are neglected.
Regardless, for cage rotor motor, its rotor is short-circuited [1]. Moreover, through the slip frequency control equation, motor torque calculation equation and the analysis of excitation component and torque component, it can be concluded that the flux linkage and excitation current are first-order inertia transfer functions, and the corresponding properties are very similar to the excitation characteristics of DC motor. The essence of vector control system is to control the structure of inverter effectively when researching the corresponding technical items. The basic means adopted is power electronic inversion technology. The main operation structure of SVPWM is data reference based on three-phase symmetrical sinusoidal voltage supply mechanism and three-phase symmetrical motor stator ideal flux circle. The standard is the appropriate switching of three-phase inverters in different switching modes. Compared with the traditional mechanism, the new power electronic inverting technology combines the inverting circuit and motor as a whole, and the overall basic model is simpler and more convenient, and more suitable for the operation of digital technology [2]. In addition, the technical parameters of the control mechanism effectively reduce the distortion of current waveform and the excessive loss of motor harmonics, to a certain extent, avoid the motor torque ripple effect, fundamentally improve the overall system voltage utilization efficiency, which has been widely used in the field of motor speed regulation. In the process of project operation, the basic principle of the project is to ensure that the corresponding voltage vectors can be effectively synthesized within a certain switching period, and the basic average value is equal to the given voltage vector value [3]. The basic voltage space vector diagram is shown in Figure 2. There will be adjacent switching states on both sides of the sector where the voltage vector is located. Relevant researchers should centralize the control of the corresponding switching cycle and construct an effective model for the actual working time.
Fuzzy PI controller is a common system structure in the control system. It is not only simple to operate, but also has good stability. However, in the process of establishing the mathematical model of asynchronous motor, the relative parameters and the basic structure can not guarantee good certainty, which leads to the corresponding parameter changes and external disturbances can not be obtained. Effective promotion [4]. In order to improve its performance, it is necessary to upgrade the dynamic model of motor project centrally. As early as 1965, the fuzzy PI logic control mechanism was mentioned for the first time. In the process of its operation, it is not necessary to establish a precise project for the control object with the help of mathematical model. It is only necessary for the relevant personnel to control the data according to the corresponding standardization principles by using their own operation experience and the formed language control system. The greatest advantage of fuzzy logic control mechanism is that it can ignore the uncertainty, inaccuracy, noise and non-linearity of the object. In the process of establishing the fuzzy PI control mechanism, the relevant personnel should ensure that the model is only constructed by the rules of fuzzy reasoning generated by a single component, which can effectively realize man-machine dialogue, and ensure that experts’experience and practical thinking are integrated into the model to realize the transformation of reasoning system to fuzzy controller. It is a database [5]. The inference engine is formed by rule base, and the output of the deblurrer is formed by using the input fuzzy controller. Fuzzy controller is to transform the precise input into effective fuzzy quantity by centralized transformation, and the defuzzifier is to transform the effective fuzzy reasoning items into effective control quantity to ensure the establishment of effective clarity. Inference engine is the core component of the whole fuzzy PI control mechanism, and even has the ability to simulate artificial reasoning. In the whole reasoning process, we need to use the basic fuzzy logic and the corresponding reasoning rules and data relations. Usually we use the minimal operation mechanism or Larsen product operation mechanism. The basic fuzzy PI control system is used to adjust the basic speed in the vector control structure. It can realize effective input power conversion. The speed error and the rate of change of speed error are the input variables of the operation structure. The output control variable is u. The fuzzy variables in the fuzzy controller should be paid attention to and recorded effectively. The basic control mechanism is shown in Figure 3. In the process of parameter integration and determination of fuzzy PI controller, relevant researchers should establish different proportional gain and integral gain according to speed error and rate of variation of speed error. Firstly, when the value of speed error increases, it will affect the speed of the whole system to a certain extent, leading to its acceleration. In order to prevent the system from overshooting in varying degrees due to excessive speed, it is necessary to select a relatively large proportional gain. However, in order to prevent the system from overshooting in varying degrees due to excessive speed, the corresponding restrictive measures should be timely operated, and the smaller integral gain should be selected by effectively utilizing the integral effect.
Secondly, both the velocity error and the rate of variation of velocity error are in the range of moderate values. Personnel should consider from two aspects: on the one hand, the speed error and the rate of change of speed error are both positive or negative, and the controlled amount will change away from the fixed value. Relevant personnel should select a larger proportional gain to ensure that the response of the system has a smaller overshoot; on the other hand, if the speed error and the speed change rate are both positive and negative, the controlled amount will change away from the fixed value. If the rate of change of degree error is positive and the other is negative, the controlled quantity will change towards the direction close to the fixed value. The relevant personnel should select smaller proportional gain and integral gain to ensure the optimal operation of the control mechanism [6]; thirdly, if the speed error value is small, the relevant personnel should appropriately weaken the proportional effect of the overall system to ensure that It proves that the system obtains effective stability performance, concentrates on strengthening the integral effect, and adjusts the integral gain to the maximum, so as to effectively avoid the system oscillation caused by the slight change of velocity error. Fourthly, through the corresponding data analysis and information collation, the conclusion can be drawn as follows: the rate of variation of velocity error and the increase of integral. Benefits show a positive proportional relationship. In this paper, we use the asynchronous motor control system to establish the simulation model, in order to achieve the further test of the fuzzy PI control algorithm, through the simulation analysis, establish effective comparative data, so as to effectively promote the establishment and improvement of the overall control system. The squirrel cage motor model is selected to determine the motor simulation parameters. Among them, the rated power and voltage of the base are determined numerically.
PN = 2.2kW, UN = 220V, 50Hz of the base frequency, the resistance value of the stator is 0.8OH, and the resistance of the rotor is 0.816OH. In addition, for the 71 OH of the rotor, 71 OH of the stator, 69 OH of the mutual inductance of the stator and rotor, the pole pair is used. It is controlled at 2, while the basic moment of inertia is kept at 0.18kg.
m2. The basic simulation model is shown in Figure 4. In the process of data analysis, the relevant personnel should focus on the operation status of the motor, and centralize the analysis of the load to ensure that it can ensure an effective operation mechanism under the sudden step load environment, successfully complete the transition process, and achieve the control system to maintain a constant speed range. In addition, when the system is in the transition process, the corresponding response is fast, and the electromagnetic torque ripple can be suppressed. The corresponding motor speed is constant, and the robust performance is in the best state.
Through the corresponding data research, the operation of fuzzy PI control in vector control system of asynchronous motor can upgrade the performance of the whole system, and ensure that the control system can be further optimized, and can smoothly suppress the phenomenon of speed overshoot.
In a word, both under normal operation structure and abrupt load, the speed can be guaranteed to remain unchanged, and the robustness of the system will be enhanced, so that the sustainable development of the whole asynchronous motor project can be realized.