CN205453567U - Six phase brushless DC motor for water pump and neural network speed control system thereof - Google Patents

Abstract

The utility model discloses a six phase brushless DC motor's neural network speed control system for the water pump, including reference current module, electric current hysteresis loop control module, executable module, load torque measured module, motor main part module and be used for carrying out the NARMA that controls to the rotational speed the L2 controller, NARMA the L2 controller includes preset rotational speed input, the actual measurement rotational speed input that links to each other with the actual measurement rotational speed output of motor main part module and the load torque input that links to each other with load torque measured module, NARMA L2 control module's output links to each other with the input of reference current module. The utility model discloses a NARMA the L2 controller controls the rotational speed, and its control mode is non -linear control mode, and has stronger self -learning ability, can solve current strong, the high -order nature scheduling problem of six phase brushless DC motor's the degree of coupling that speed control system has for the water pump, and control performance is high. The utility model also discloses a six phase brushless DC motor for the water pump of including above -mentioned neural network speed control system.

Description

A six-phase brushless DC motor for water pumps and its neural network speed regulation system

technical field

The utility model relates to the technical field of motor speed control, in particular to a six-phase brushless DC motor for a water pump and a neural network speed regulating system thereof.

Background technique

With the rapid development of production technology, six-phase brushless DC motors for water pumps are more and more used in production and life. The system puts forward higher requirements.

At present, the six-phase brushless DC motor for water pumps uses a common PI controller to control the speed, which has the advantages of simple structure and easy implementation. However, since the ordinary PI control is a kind of linear control, it cannot well solve the problems of non-linearity, strong coupling and high-order characteristics of the speed control system of the six-phase brushless DC motor used in water pumps, and the control performance is low.

Therefore, how to provide a six-phase brushless DC motor for water pumps with high control performance and its neural network speed regulation system is a problem that those skilled in the art need to solve at present.

Utility model content

The purpose of this utility model is to provide a six-phase brushless DC motor for water pumps and its neural network speed regulation system, which adopts a nonlinear control mode and can solve the problem of the existing six-phase brushless DC motor speed regulation system for water pumps. It has problems such as strong coupling and high-order, and high control performance.

In order to solve the above technical problems, the utility model provides a neural network speed control system for six-phase brushless DC motors for water pumps, including a reference current module, a current hysteresis control module, an execution module, a load torque measurement module, and a motor body module and a NARMA-L2 controller for controlling the speed; wherein;

The NARMA-L2 controller includes a given speed input end, a measured speed input end connected to the measured speed output end of the motor body module, and a load torque input end connected to the load torque measurement module; the The output end of the NARMA-L2 control module is connected with the input end of the reference current module;

The output terminal of the reference current module is connected to the reference current input terminal of the current hysteresis control module, the measured current input terminal of the current hysteresis control module is connected to the measured current output terminal of the motor main module, and the The output end of the current hysteresis control module is connected to the input end of the execution module;

The output end of the execution module is connected with the input end of the motor main body module.

Preferably, the executive module is an inverter module.

In order to solve the above-mentioned technical problems, the utility model also provides a six-phase brushless DC motor for water pumps, including the neural network speed regulation system described in any one of the above items.

The utility model provides a six-phase brushless DC motor for a water pump and its neural network speed regulation system. The NARMA-L2 controller is used to control the rotational speed. The control mode of the controller belongs to the neural network control and is nonlinear control. It has a strong self-learning ability, can solve the problems of strong coupling and high-order characteristics of the existing six-phase brushless DC motor speed control system for water pumps, and has high control performance.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings that need to be used in the prior art and the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only the present invention. For some embodiments of the present invention, those of ordinary skill in the art can also obtain other drawings based on these drawings on the premise of not paying creative efforts.

Fig. 1 is the structural representation of the neural network speed regulation system of a kind of water pump with six-phase brushless DC motor that the utility model provides;

Fig. 2 is the simulation model schematic diagram of the neural network speed regulation system of a kind of water pump with six-phase brushless DC motor that the utility model provides;

Among them, in Figure 2:

n-ref—given speed, n—measured speed, TL—load torque, NARMA-L2—NARMA-L2 controller, ReferenceCurrent—reference current module, IGBTinverter—inverter module, dianjizhuti—motor main module.

detailed description

The core of the utility model is to provide a six-phase brushless DC motor for water pumps and its neural network speed regulation system, which adopts a nonlinear control mode and can solve the problems of the existing six-phase brushless DC motor speed regulation system for water pumps. It has problems such as strong coupling and high-order, and high control performance.

In order to make the purpose, technical solutions and advantages of the embodiments of the utility model more clear, the technical solutions in the embodiments of the utility model will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the utility model. Obviously, the described The embodiments are some embodiments of the present utility model, but not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present utility model.

The utility model provides a neural network speed regulation system of a six-phase brushless DC motor for a water pump, as shown in Figure 1, which is a neural network speed regulation system for a six-phase brushless DC motor for a water pump provided by the utility model Schematic diagram of the speed system;

The neural network speed regulation system includes a reference current module 12, a current hysteresis control module 13, an execution module 14, a load torque measurement module 16, a motor main module 15 and a NARMA-L2 controller 11 for controlling the speed; ;

The NARMA-L2 controller 11 includes a given speed input, a measured speed input connected to the measured speed output of the motor body module 15, and a load torque input connected to the load torque measurement module 16; the NARMA-L2 control module The output terminal of is connected with the input terminal of reference current module 12;

The output terminal of the reference current module 12 is connected with the reference current input terminal of the current hysteresis control module 13, the measured current input terminal of the current hysteresis control module 13 is connected with the measured current output terminal of the motor main module 15, and the current hysteresis control module 13 The output end of is connected with the input end of execution module 14;

The output end of the execution module 14 is connected with the input end of the motor main body module 15 .

It can be understood that the NARMA-L2 controller 11 here is a linear feedback controller, which can output an appropriate rotational speed control amount according to the input given rotational speed, the measured rotational speed and the load torque. NARMA-L2 controller 11 is a neural network controller designed based on BP neural network. BP neural network is a neural network structure including three or more layers of neurons, which can approximate many nonlinear functions, so as to overcome the nonlinear and high-order parameters of six-phase brushless DC motors used in water pumps. It has a better control effect on the nonlinear neural network speed control system of the six-phase brushless DC motor used in water pumps; in addition, because the BP neural network has self-learning ability, it can reduce the overshoot of the neural network speed control system. At the same time, using this kind of controller for control can reduce the adjustment time, and has good robustness and strong anti-interference ability, that is, the neural network speed regulation system using NARMA-L2 controller 11 has good stability.

In addition, the neural network speed control system in the utility model adopts the current-speed double closed-loop control, and realizes the purpose of controlling the speed of the six-phase brushless DC motor for the water pump by adjusting the control amount of the speed and the current.

Wherein, the execution module 14 is an inverter module.

Referring to Fig. 2, Fig. 2 is a schematic diagram of a simulation model of a neural network speed regulation system of a six-phase brushless DC motor for a water pump provided by the utility model.

The utility model provides a neural network speed regulation system of a six-phase brushless DC motor for a water pump, which uses a NARMA-L2 controller to control the speed. The control method of the controller belongs to the neural network control and is a nonlinear control method. , and has a strong self-learning ability, can solve the problems of strong coupling and high-order characteristics of the existing six-phase brushless DC motor speed control system for water pumps, and has high control performance.

The utility model also provides a six-phase brushless DC motor for a water pump, which includes the above neural network speed regulating system.

At this time, the six-phase brushless DC motor for the water pump includes two identical NARMA-L2 controllers 11 .

It should be noted that in this specification, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or device comprising a set of elements includes not only those elements , but also includes other elements not expressly listed, or also includes elements inherent in such process, method, article or equipment. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above description of the disclosed embodiments enables those skilled in the art to realize or use the utility model. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims (3)

1. the water pump neutral net governing system of six phase brushless DC motors, it is characterized in that, including reference current module, current hysteresis-band control module, perform module, load torque measurement module, motor body module and for the NARMA-L2 controller that rotating speed is controlled；Wherein；

Described NARMA-L2 controller includes given rotating speed input, the actual measurement rotating speed input being connected with the actual measurement rotating speed outfan of described motor body module and the load torque input being connected with described load torque measurement module；The outfan of described NARMA-L2 control module is connected with the input of described reference current module；

The outfan of described reference current module is connected with the reference current input of described current hysteresis-band control module, the measured current input of described current hysteresis-band control module is connected with the measured current outfan of described motor body module, and the outfan of described current hysteresis-band control module is connected with the input of described execution module；

The outfan of described execution module is connected with the input of described motor body module.

System the most according to claim 1, it is characterised in that described execution module is inverter module.

3. water pump six phase brushless DC motors, it is characterised in that include the neutral net governing system as described in any one of claim 1-2.