CN201878079U - Speed regulation control system of closed planer - Google Patents

Abstract

The utility model discloses a speed regulation control system of a gantry planer, which is used for controlling the rotating speed of a drive motor in the gantry planer, wherein the drive motor is a switched reluctance motor SRM, and the speed regulation control system includes a controller , a power converter and a detection unit; the detection unit is connected to the drive motor and the power converter, respectively detects the operating parameters of the drive motor and the output current of the power converter, and feeds back to the controller; the controller The control signal is calculated and generated according to the given rotational speed value and the detection information fed back by the detection unit, and is output to the power converter; the power converter is connected to the drive motor to control the rotation of the drive motor. The SRM speed control system of the utility model has high control precision, can adapt to environmental changes, has good dynamic characteristics, has good adaptability and robustness, and has a simple and reliable structure, and is especially suitable for the planer that needs frequent forward and reverse rotation. Adjustable speed drive system.

Description

A speed control system for planer

technical field

The utility model belongs to the technical field of gantry planers, and in particular relates to a speed regulation control system of gantry planers.

Background technique

The gantry planer is the main work machine in the machinery industry. Traditional domestic heavy machine tool factories use DC generators and DC motor systems (F-D systems) as the main drive system. The F-D system is expensive, has low efficiency, and generates large sparks on the brushes at high speed and heavy load, so it can no longer meet the needs of modern production and needs to be remodeled urgently.

The switched reluctance motor drive system (SRD) integrates the switched reluctance motor (SRM), power electronics technology and control technology, and is a typical high-tech product of mechatronics. It not only maintains the advantages of simple structure, firmness and reliability of AC asynchronous motor and good controllability of DC motor, but also has outstanding advantages such as low price, high efficiency and strong adaptability, showing broad application prospects. This makes SRD a next-generation AC stepless speed regulation system with great potential after the frequency conversion speed regulation system of asynchronous motor and the speed regulation system of DC motor. Due to the good characteristics and unique advantages of the switched reluctance motor SRM, it is possible to apply it to the planer.

However, the current switched reluctance motor SRM adopts a doubly salient pole structure and is highly saturated, so its drive system itself is a time-varying and nonlinear system. The current control strategy is mainly based on the linear model, combined with the traditional PI or PID controller, the SRD system constructed from this is difficult to obtain the ideal output characteristics, not only the torque ripple is large, the noise is large, and the system robustness is poor, its dynamic, Static performance cannot be compared with DC drive, which seriously hinders the application of SRD.

Under certain conditions, the artificial neural network can approach any nonlinear function with arbitrary precision and has strong self-learning, self-adaptation, and self-organization capabilities. If it is applied to the speed control strategy of the severely nonlinear switched reluctance motor SRM, it should be possible to achieve high-performance control of the switched reluctance motor SRM. Based on this, how to design a hardware platform that can support the artificial neural network control algorithm for the speed control system of the switched reluctance motor SRM is a main problem to be solved by the utility model.

Utility model content

In order to solve the problem of high price and low efficiency of traditional gantry planer using F-D system for dragging, the utility model provides a gantry planer speed control system based on SRD system to improve the working efficiency and control of gantry planer accuracy and reduce system cost.

In order to solve the above-mentioned technical problems, the utility model adopts the following technical solutions to achieve:

A speed control system for a planer, used to control the rotational speed of a driving motor in the planer, wherein the drive motor is a switched reluctance motor, and the speed control system includes a controller, a power converter and a detection unit; the detection unit is connected to the drive motor and the power converter, respectively detects the operating parameters of the drive motor and the output current of the power converter, and feeds back to the controller; the controller according to the given speed value and The detection information fed back by the detection unit is calculated to generate a control signal, which is output to the power converter; the power converter is connected to the drive motor to control the rotation of the drive motor.

Further, the detection unit includes a current detection module and a position detection module, the current detection module is connected between the power converter and the controller, collects the output current of the power converter and feeds it back to the controller; The position detection module is connected between the drive motor and the controller, detects the rotor position and speed of the drive motor and feeds back to the controller.

Still further, the controller is a DSP controller.

Furthermore, the controller is a DSP controller based on the TMS320F2812 main control chip.

Compared with the prior art, the advantages and positive effects of the utility model are: the SRM speed control system of the utility model has high control precision, can adapt to environmental changes, has good dynamic characteristics, and has good adaptability and robustness , and the structure is simple and reliable, especially suitable for the speed-adjusting driving system of the gantry planer that requires frequent forward and reverse rotation.

After reading the detailed description of the embodiments of the utility model in conjunction with the accompanying drawings, other features and advantages of the utility model will become clearer.

Description of drawings

Fig. 1 is a schematic circuit block diagram of an embodiment of the speed regulation control system of the gantry planer proposed by the utility model.

Detailed ways

Specific embodiments of the present utility model are described in detail below in conjunction with the accompanying drawings.

Embodiment 1. In order to improve the working efficiency of the gantry planer and reduce the system cost, this embodiment adopts the switched reluctance motor SRM as the drive motor of the gantry planer to form a switched reluctance motor drive system SRD to drive the actuators in the gantry planer run.

Since the switched reluctance motor SRM adopts a doubly salient pole structure and is highly saturated, its drive system itself is a time-varying, nonlinear system. The existing control strategies are mainly based on linear models, combined with traditional PI or PID controllers, simply using the above three control modes, using feedforward torque (or current) control and feedback speed control. The SRD system constructed in this way is difficult to obtain ideal output characteristics, not only has large torque ripple and noise, but also has poor system robustness, and its dynamic and static performance cannot be compared with DC drive, which seriously hinders the application of SRD. The reason is mainly because SRM is a highly nonlinear system with a geometric structure of doubly salient concentrated windings. It often operates in a saturated state in order to output the maximum torque. The reluctance torque is a nonlinear function of the stator current and the rotor position. , the traditional linear control method is difficult to meet the nonlinear and variable parameter requirements of SRM with fast dynamics.

In order to improve the system performance, this embodiment first designs the speed control system hardware platform shown in Figure 1 for the switched reluctance motor SRM, and runs the neural network based on radial basis function (RadicalBasis Function, RBF) on this hardware platform The control algorithm realizes the precise control of the SRM speed of the switched reluctance motor.

Referring to Fig. 1, the hardware platform of the speed regulation control system in this embodiment is mainly composed of three parts: a controller, a power converter and a detection unit. Among them, the controller is the brain of the SRD system, which receives the given rotational speed value input by the user, and combines the detection information fed back by the detection unit to calculate and generate a control signal through the pre-written rotational speed control algorithm, and output it to the power converter to control the power conversion The components in the converter are turned on and off, and then the power converter is used to control the operation of the switched reluctance motor SRM, so that the motor speed approaches a given speed value.

In this embodiment, the detection unit is used to detect the operating parameters of the switched reluctance motor SRM and the output current of the power converter, and may specifically include two parts: a current detection module and a position detection module. Wherein, the current detection module is connected between the output terminal of the power converter and the input terminal of the controller, collects the output current of the power converter, and feeds back to the controller to participate in the speed control operation; the position detection module is connected to the drive motor Between the input end of the controller and the rotor position and speed of the driving motor, the rotor position and speed are detected, and fed back to the controller to participate in the speed control calculation.

In order to be able to implement complex neural network control strategies, this embodiment uses a DSP controller to specifically run the speed control algorithm, receive a given speed value input by the user, and integrate the position and speed of the motor rotor provided by the position detection module and the current detection module. Feedback information such as current and current and external input commands, through analysis and processing, determine the control strategy, and process according to the corresponding control algorithm, and send phase on-off signals and pulse width modulation (PWM) signals to control the components in the power converter On and off, to achieve accurate control of the motor speed. In this embodiment, the TMS320F2812 main control chip of Texas Instruments (TI) is preferably used to design the DSP controller, which not only has a fast processing speed and a high degree of integration, but also simplifies the hardware structure and makes the control accuracy higher, solving the problem of switching magnetism in the past. The resistance motor SRM uses a single-chip microcomputer as the main control chip, and its control system has slow response speed and poor system reliability.

Because the artificial neural network has the characteristics of being able to approach any nonlinear function with arbitrary precision under certain conditions and has strong self-learning, self-adaptation, and self-organization capabilities. Therefore, applying it to the control strategy of the severely nonlinear switched reluctance motor SRM can realize high-performance control of the switched reluctance motor SRM.

The DSP controller with the RBF neural network control algorithm is programmed for offline training. After the offline training is completed, the online training of the neural network is completed in combination with online identification, so that the controller can adaptively adjust the network parameters during the operation of the motor to adapt to the environment. The change. The results show that: running the RBF-based neural network control algorithm in the speed control system proposed in this embodiment to control the speed of the switched reluctance motor SRM has obvious advantages such as fast response speed, high control precision, and strong adaptability. Advantage.

The switched reluctance motor drive system SRD of the utility model has the advantages of simple and reliable structure, high efficiency, wide speed regulation range and precise control, and can well realize various functions of the gantry planer.

Of course, the above description is only a preferred embodiment of the utility model, and it should be pointed out that for those of ordinary skill in the art, some improvements can also be made without departing from the principle of the utility model and retouching, these improvements and retouching should also be regarded as the protection scope of the present utility model.

Claims (4)

1. a speed control system of a gantry planer, which is used to control the rotating speed of a drive motor in a gantry planer, it is characterized in that: the drive motor is a switched reluctance motor, and the speed control system includes a controller, a power A converter and a detection unit; the detection unit is connected to the drive motor and the power converter, respectively detects the operating parameters of the drive motor and the output current of the power converter, and feeds back to the controller; the controller according to the given The constant speed value and the detection information fed back by the detection unit are calculated to generate a control signal, which is output to the power converter; the power converter is connected to the drive motor to control the rotation of the drive motor. 2. The speed regulation control system of the planer according to claim 1, characterized in that: the detection unit includes a current detection module and a position detection module, and the current detection module is connected between the power converter and the controller Collect the output current of the power converter and feed it back to the controller; the position detection module is connected between the drive motor and the controller, detects the rotor position and speed of the drive motor and feeds it back to the controller. 3. The speed regulation control system of the planer according to claim 1 or 2, characterized in that: the controller is a DSP controller. 4. The speed regulation control system of the planer according to claim 3, characterized in that: the controller is a DSP controller based on the TMS320F2812 main control chip.