Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting performance that are shown to improve upon existing verification procedures.
標(biāo)簽： field forecast verification
上傳時(shí)間： 2020-07-22
上傳用戶：
介紹一種萬(wàn)能模擬信號(hào)輸入采集電路,可以同時(shí)支持電壓、電流、熱電偶、熱電阻等常見(jiàn)的工業(yè)類(lèi)型信號(hào),方便后級(jí)電路的測(cè)量。該研究成果通過(guò)不斷優(yōu)化和完善,已成功應(yīng)用到了中控儀表的新產(chǎn)品中。The paper introduces a collection circuit of universal signal input. The circuit support voltage, current, thermocouple, thermal resistance and other common industrial type signal. The research results, which has been continuous optimized and improved, has been successfully applied to the new production of Zhejiang Supcon Instrument Co., Ltd.
標(biāo)簽： 采集電路
上傳時(shí)間： 2022-04-21
上傳用戶：slq1234567890
應(yīng)用無(wú)跡卡爾曼濾波算法（UKF）進(jìn)行鋰電池的SOC估計(jì),采用Thevenin二階RC等效電路模型,對(duì)HPPC電池脈沖充放電實(shí)驗(yàn)數(shù)據(jù)進(jìn)行Matlab處理,得到較為準(zhǔn)確的模型.通過(guò)在Matlab中編寫(xiě)算法程序,對(duì)不同工況的估計(jì)值與實(shí)際值進(jìn)行誤差估算及對(duì)比分析,通過(guò)此算法進(jìn)行SOC估計(jì),得到該算法可有效降低系統(tǒng)誤差并糾正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.
標(biāo)簽： 卡爾曼濾波
上傳時(shí)間： 2022-05-03
上傳用戶：默默
基于TMS320F28035芯片為控制核心的空間矢量異步電機(jī)變頻器 我們?cè)O(shè)計(jì)的異步電機(jī)變頻調(diào)速器以TMS320F28035芯片為控制核心，通過(guò)輸出三相PWM波控制智能功率模塊IPM驅(qū)動(dòng)三相異步電機(jī)。我們使用空間矢量SVPWM算法，并對(duì)其進(jìn)行了優(yōu)化。采用檢測(cè)反電勢(shì)的方法省去了昂貴的光電編碼器，大大節(jié)省了成本。同時(shí)開(kāi)創(chuàng)性的研發(fā)了自動(dòng)根據(jù)運(yùn)行環(huán)境調(diào)節(jié)的自適應(yīng)變頻算法，使我們的變頻調(diào)速器可以在電網(wǎng)條件惡劣的鄉(xiāng)村山區(qū)工作，由此該變頻器已被一家民用水泵生產(chǎn)企業(yè)預(yù)訂。關(guān)鍵字 變頻器 TMS320f28035 IPM SVPWM In our design, the asynchronous machine inverter based on the chip of TMS320F28035 drives the three-Phase asynchronous machine by sending three-phase PWM waves to the IPM, which is short for the Intelligent-Power-Module. The SVPWM (space vector pulse width modulation) strategy is applied to our control algorithm and we optimize it mainly in two aspects. Firstly the inverter detects the speed by measuring the Back EMF instead of installing an expensive photoelectric encoder for costs reduction.
標(biāo)簽： tms320f28035 芯片
上傳時(shí)間： 2022-05-08
上傳用戶：zhanglei193
Abstract: A sliding mode observer and fractional-order phase-locked loop (FO-PLL) method is proposed for the sensorless speed control of a permanent magnet synchronous motor (PMSM).The saturation function is adopted in order to reduce the chattering phenomenon caused by the sliding mode observer. In this proposed FO-PLL, method, a regulable fractional order r is involved, which means that the FO-PLL provides an extra degree of freedom. In fact, the conventional phase-locked loop (PLL) applied in sensorless PMSM control can be seen as a special case of the proposed FO-PLL. By selecting a proper fractional order r a better performance may be achieved. The computer simulation results demonstrate the effectiveness of the proposed method.Key words: fractional calculus; fractional order phase-locked loop; sensorless control; sliding mode observer; permanent magnet synchronous motor; speed controll
標(biāo)簽： 滑模觀測(cè)器 傳感器 pmsm 矢量控制
上傳時(shí)間： 2022-06-18
上傳用戶：
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