中北大学 仪器与电子学院,山西,太原,030051
纸质出版:2025
移动端阅览
张坤鹏, 高晋阳, 张静瑶, 等. 基于模糊PID的仿植物生长机器人液压驱动系统[J]. 传感器与微系统, 2025,44(11):71-75+81.
ZHANG Kunpeng, GAO Jinyang, ZHANG Jingyao, et al. Hydraulic drive system for plant-like growth robot based on fuzzy PID[J]. 2025, 44(11): 71-75+81.
针对仿植物生长软体机器人现有驱动设备成本高、驱动力不足
且流量传感器量程过大导致微小流量信号采集失效等问题
提出一种基于注射泵的液压驱动系统设计方案。该系统以单片机为控制核心
采用模糊PID算法对压力与流量信号进行闭环控制
通过编码器测量步进电机转速间接反映流量值
有效规避了传统流量计在微流量工况下的量程局限问题。对压力和流量控制的动态响应、控制精度及稳定性进行测试
实验结果表明
系统压力控制精度达0.04kPa
流量控制误差控制在5%左右。针对软管内液体惯性导致的制动滑移问题
提出了一种制动策略
通过瞬时负压产生反向液压力抵消液体惯性冲量
实现机构的快速制动和精准定位。
In response to the problems of high cost
insufficient driving force of existing driving equipment for plant-like growth soft robots
and failure to collect tiny flow signals due to excessive range of flow sensors
a design of a scheme hydraulic drive system based on a syringe pump is proposed.The system takes a microcontroller unit as the control core and uses a fuzzy PID algorithm to control the pressure and flow signals in closed loop.The rotational speed of the stepper motor is measured by the encoder and indirectly reflects the flow rate
effectively avoiding the range limitation problem of traditional flow meters under micro-flow conditions.The dynamic response
control accuracy and stability of pressure and flow control are tested.The experimental results show that the system’s pressure control accuracy reaches 0.04kPa
and the flow control error is controlled within approximately 5%.In response to the problem of braking slip caused by liquid inertia in the soft hose
a braking strategy is proposed.This strategy generates reverse hydraulic pressure to offset the inertial impulse of the liquid through instantaneous negative pressure
thereby achieving rapid braking and precise positioning of the mechanism.
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