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CN-122026757-A - Multi-mode self-adaptive driving control system and method for handheld intelligent electric chain saw

CN122026757ACN 122026757 ACN122026757 ACN 122026757ACN-122026757-A

Abstract

The invention discloses a multi-mode self-adaptive driving control system and a multi-mode self-adaptive driving control method for a handheld intelligent electric chain saw. The intelligent control system comprises a work mode which is selected by a user and is received through a man-machine interaction unit, a brushless motor is driven to operate based on a magnetic field directional control algorithm, the load state of the brushless motor is monitored in real time, and different operation modes are switched, so that the purposes of improving operation comfort, reducing the risk of clamping and sawing of an electric chain saw, saving energy and reducing consumption are achieved.

Inventors

  • HUANG MEISHENG
  • HU CHENGHAO
  • ZHOU FEIXIANG
  • GUO JIANBING
  • CUI DONG
  • XU HAIBING
  • Ying Yiheng
  • Ying Kuo
  • XU FENG
  • HUANG LI
  • HUANG HUIFEI
  • YING XINSEN
  • SUN LIANGLIANG
  • HU HONGYAN

Assignees

  • 浙江阔创科技有限公司
  • 浙江三锋实业股份有限公司

Dates

Publication Date
20260512
Application Date
20260408

Claims (9)

  1. 1. Multi-mode self-adaptive driving control system of handheld intelligent electric chain saw, its characterized in that includes: The power unit comprises a brushless motor, wherein the brushless motor is a high-power-density outer rotor brushless motor; the main controller comprises a kernel, an FOC algorithm processing unit, a multi-mode self-adaptive control strategy processing unit and a protection logic processing unit and is used for executing a magnetic field directional control algorithm and a multi-mode self-adaptive control strategy; the state detection unit is used for monitoring the load state of the brushless motor in real time and comprises a current sampling circuit, a position/speed detection module and a temperature sensor; The man-machine interaction unit is used for switching working modes by a user and comprises a mode selection switch, a display screen and an indicator lamp; and the brake signal generating device is used for triggering the protection control.
  2. 2. The system of claim 1, wherein the main controller is a multi-core microprocessor supporting high frequency PWM output, and the system carrier frequency is not lower than 30kHz.
  3. 3. The system of claim 1, further comprising a man-machine interaction display screen connected to the main controller via a communication bus for displaying at least one of battery power, operation mode, motor rotation speed, and fault code in real time.
  4. 4. The system of claim 1, further comprising an electromechanical cooperating brake system, wherein when the brake signal generating device is triggered, the master controller shuts off the motor drive signal for a first time while the mechanical brake mechanism is actuated to effect physical braking of the chain for a second time, wherein the first time is less than the second time.
  5. 5. The hand-held intelligent electric chainsaw multi-modal adaptive drive control system of claim 1, wherein the core is an ARM Cortex-M4F core.
  6. 6. The multi-mode self-adaptive driving control method of the handheld intelligent electric chain saw is based on the multi-mode self-adaptive driving control system of the handheld intelligent electric chain saw as claimed in claim 1, and is characterized by comprising the following steps: S1, receiving a working mode selected by a user through a man-machine interaction unit, wherein the working mode at least corresponds to a preset idle target rotating speed; S2, driving the brushless motor to operate based on a magnetic field directional control algorithm, and when the load is lower than a first threshold value of a selected working mode, entering a constant speed stage, and controlling the brushless motor to stably operate at the idle target rotating speed; S3, monitoring the load state of the brushless motor in real time, and entering a transition stage when the load is detected to be increased and exceeds a first threshold value of a selected working mode but is lower than a second threshold value of the selected working mode, so that the rotation speed is steadily reduced from an idle target rotation speed of the selected working mode; S4, when the fact that the load continues to increase and exceeds a second threshold value of the selected working mode is detected, entering a constant current stage, and improving output torque to cope with heavy load; s5, at any stage, if a brake signal or a temperature overrun signal is received, immediately executing a corresponding protection control strategy.
  7. 7. The method of claim 6, wherein the operating modes include three gears corresponding to different idle target speeds, first current threshold, second current threshold, and maximum bus current, respectively.
  8. 8. The method of claim 6, wherein the ramp function algorithm used in the transition stage is a ramp function algorithm, and the rising slope of the power or torque of the brushless motor is adaptively adjusted according to the current working mode and the load change rate.
  9. 9. The method of claim 6, wherein in the constant current phase, the brushless motor output torque is increased by decreasing the direct current component and increasing the quadrature current component accordingly while maintaining the bus current constant.

Description

Multi-mode self-adaptive driving control system and method for handheld intelligent electric chain saw Technical Field The invention relates to the technical field of electric tool control, in particular to a multi-mode self-adaptive driving control system and method of a handheld intelligent electric chain saw. Background The hand-held electric chain saw is a portable cutting tool commonly used in forestry, garden care and emergency rescue. The following technical pain points are common in traditional electric chain saws, particularly in the types of brush motors or simple speed regulation control: 1. when no load or light load pursues high rotation speed, the motor vibrates and has high noise, and the operation comfort is poor; 2. When cutting is carried out, particularly under heavy load working conditions such as hardwood or knots, torque output is insufficient or response is slow, sawing is easy to clamp, and tools are severely shaken due to power mutation, so that safety risks exist; 3. the control strategy is single, and a good balance among efficiency, stability and endurance cannot be achieved. With the development of brushless dc motor technology and digital control technology, field Oriented Control (FOC) has been introduced into high-end power tools for its excellent speed and torque control performance. However, the FOC algorithm is simply applied to the electric chain saw, and it is still difficult to perfectly cope with the complex and changeable load scene. The prior art often adopts a fixed rotating speed-torque curve or simple overcurrent protection, and lacks an adaptive control mechanism capable of intelligently and smoothly adjusting power output and always maintaining stable running of a tool according to real-time load conditions while guaranteeing cutting efficiency. Thus, there is a need for an innovative drive control scheme to solve the above problems. Disclosure of Invention The invention aims to overcome the defects of the prior art and provides a multi-mode self-adaptive driving control system and method for a handheld intelligent electric chain saw. The utility model provides a multi-modal self-adaptation drive control system of hand-held type intelligence electric chain saw, includes: The power unit comprises a brushless motor, wherein the brushless motor is a high-power-density outer rotor brushless motor; the main controller comprises a kernel, an FOC algorithm processing unit, a multi-mode self-adaptive control strategy processing unit and a protection logic processing unit and is used for executing a magnetic field directional control algorithm and a multi-mode self-adaptive control strategy; the state detection unit is used for monitoring the load state of the brushless motor in real time and comprises a current sampling circuit, a position/speed detection module and a temperature sensor; The man-machine interaction unit is used for switching working modes by a user and comprises a mode selection switch, a display screen and an indicator lamp; and the brake signal generating device is used for triggering the protection control. Preferably, the main controller adopts a multi-core microprocessor supporting high-frequency PWM output, and the system carrier frequency is not lower than 30kHz. Preferably, the intelligent control system further comprises a man-machine interaction display screen which is connected with the main controller through a communication bus and used for displaying at least one of battery electric quantity, working modes, motor rotation speed and fault codes in real time. Preferably, the electric motor braking system further comprises an electromechanical cooperative braking system, when the braking signal generating device is triggered, the main controller cuts off the motor driving signal in a first time, and simultaneously the mechanical braking mechanism acts to realize the physical braking of the chain in a second time, wherein the first time is smaller than the second time. Preferably, the core is an ARM Cortex-M4F core. The multi-mode self-adaptive driving control method of the handheld intelligent electric chain saw is based on the multi-mode self-adaptive driving control system of the handheld intelligent electric chain saw and comprises the following steps: S1, receiving a working mode selected by a user through a man-machine interaction unit, wherein the working mode at least corresponds to a preset idle target rotating speed; S2, driving the brushless motor to operate based on a magnetic field directional control algorithm, and when the load is lower than a first threshold value of a selected working mode, entering a constant speed stage, and controlling the brushless motor to stably operate at the idle target rotating speed; S3, monitoring the load state of the brushless motor in real time, and entering a transition stage when the load is detected to be increased and exceeds a first threshold value of a selected working mode but is lower tha