本系统基于STM32单片机设计的非接触式电流检测控制系统,通过OPA548片将所给任意信号放大,由100Ω电阻和INA128芯片进行电流电压转换放大后,利用STM32单片机对获取的电压信号以0.488μs频率采样,利用STM32单片机的FFT库,获得信号的谐波信息。测量电流信号精准,该设计可广泛应用在以STM32单片机为核心控制器件的新型仪表中,性能精准且抗干扰能力强。This system is a non-contact current detection and control system based on STM32 single chip microcomputer. It amplifiesany signal through OPA548 chip, converts and amplifies the current and voltage by 100 Ω resistance and INA128 chip. The obtainedvoltage signal is sampled at the frequency of 0.488 μs by STM 32 single chip microcomputer, and the harmonic information of the signalis obtained by the FFT library of STM 32 single chip microcomputer. The measurement of current signal is accurate. This design can bewidely used in a new instrument with STM 32 single chip microcomputer as its core control device, with accurate performance and stronganti-interference capability.
上传时间： 2022-03-27
上传用户：
多功能智能遥控窗帘系统广泛地应用于家居、办公室等场合,同时也是智能家居的一部分。该设计主要利用STC89C52单片机核心电路、光敏电阻电路、步进电机电路、温湿度传感器、红外线控制电路、AD转换电路、LCD1602液晶显示屏等模块完成精确控制窗帘的开和关。multi-functional intelligent remote control curtain system is widely used in home,office and other occasions,and is also part of intelligent home.The design mainly uses STC89 C52 single-chip core circuit,photosensitive resistor circuit,stepping motor circuit,temperature and humidity sensor,infrared control circuit,AD conversion circuit,LCD1602 LCD display and other modules to achieve accurate control of the curtain opening and closing.
上传时间： 2022-03-28
上传用户：
在传统智能小车驱动电路设计中,较多考虑使用直流电机还是步进电机,电机功率、能耗等性能参数。使用具有armCortexM4内核的STM32嵌入式平台控制四轮的4个直流电机。文章基于PWM技术及PID算法,对四轮进行精准地速度、转向及启停控制,实验表明此小车具有优越各种地形适应能力。In the traditional intelligent car drive circuit design,DC motor or stepping motor,motor power,energy consumption and other performance parameters are considered.The four DC motors with four wheels are controlled by STM32 embedded platform with arm Cortex M4 kernel.Based on the PWM technology and PID algorithm,the accurate ground speed,steering,and start-stop control of the four wheels are carried out.The experiment shows that the vehicle has the superior adaptability to all kinds of terrains.
上传时间： 2022-04-02
上传用户：
应用无迹卡尔曼滤波算法（UKF）进行锂电池的SOC估计,采用Thevenin二阶RC等效电路模型,对HPPC电池脉冲充放电实验数据进行Matlab处理,得到较为准确的模型.通过在Matlab中编写算法程序,对不同工况的估计值与实际值进行误差估算及对比分析,通过此算法进行SOC估计,得到该算法可有效降低系统误差并纠正SOC的初值偏差.The non trace Calman filter （UKF） is applied to the SOC estimation of lithium battery. The Thevenin two order RC equivalent circuit model is used to process the HPPC battery pulse charge discharge experimental data by Matlab processing, and a more accurate model is obtained. By writing algorithm program in Matlab, the error estimation and comparison analysis of the estimated value and actual value of different states are carried out, and the SOC estimation is carried out by this algorithm. The algorithm can effectively reduce the system error and correct the initial value deviation of the SOC.
标签： 卡尔曼滤波
上传时间： 2022-05-03
上传用户：默默
