本文選題：微波 + 溫度控制��； 參考：《昆明理工大學(xué)》2014年碩士論文

【摘要】：微波作為一種新型加熱技術(shù),以其高效、省時(shí)、加熱均勻以及無污染等特點(diǎn),在工業(yè)、農(nóng)業(yè)以及醫(yī)療等領(lǐng)域體現(xiàn)出巨大的優(yōu)勢(shì)和廣闊的前景。因此,隨著工業(yè)微波加熱技術(shù)不斷地創(chuàng)新與發(fā)展,微波輸出功率的精確及智能控制將成為微波加熱技術(shù)發(fā)展的關(guān)鍵。 本文設(shè)計(jì)了一種基于改進(jìn)共軛梯度的BP神經(jīng)網(wǎng)絡(luò)PID算法的工業(yè)微波加熱自動(dòng)控制系統(tǒng)。文章主要闡述了磁控管作為微波源工作的基本原理、微波加熱的基本特點(diǎn)、溫度檢測(cè)與控制的硬件電路以及相應(yīng)的智能控制算法。本文的主要工作如下： 1.概述了微波加熱的原理和基本特點(diǎn),介紹了微波加熱系統(tǒng)的結(jié)構(gòu),詳細(xì)說明了磁控管的基本結(jié)構(gòu)以及工作原理。通過理論分析,對(duì)微波傳輸裝置和加熱腔進(jìn)行了研究和設(shè)計(jì)。 2.針對(duì)微波加熱環(huán)境,分析了幾種類型溫度傳感器的優(yōu)缺點(diǎn),對(duì)熱電偶溫度傳感器進(jìn)行了改進(jìn)分析。完成了以DSP為核心處理器的硬件電路設(shè)計(jì),包括采集、監(jiān)測(cè)和控制三部分。溫度采集電路由K型熱電偶和MAX6675集成芯片組成；溫度監(jiān)測(cè)部分設(shè)計(jì)了LCD液晶顯示和通過MAX232串行接口通信的上位機(jī)軟件實(shí)現(xiàn)對(duì)溫度變化的實(shí)時(shí)監(jiān)測(cè)；控制部分利用PWM脈沖調(diào)制技術(shù)實(shí)現(xiàn)對(duì)磁控管輸出功率的調(diào)節(jié),從而實(shí)現(xiàn)溫度的智能控制。 3.針對(duì)溫度非線性、滯后性和時(shí)變性等特點(diǎn),采用改進(jìn)共軛梯度的BP神經(jīng)網(wǎng)絡(luò)PID算法。利用MATLAB軟件分別對(duì)常規(guī)的增量式PID算法、BP神經(jīng)網(wǎng)絡(luò)PID算法和改進(jìn)共軛梯度的BP神經(jīng)網(wǎng)絡(luò)PID算法進(jìn)行仿真研究,從理論上證明了具有響應(yīng)速度快、抗干擾性強(qiáng)以及控制精度高等特點(diǎn)的改進(jìn)共軛梯度的BP神經(jīng)網(wǎng)絡(luò)PID算法在微波加熱智能控制系統(tǒng)上應(yīng)用的可行性。最后通過活性炭加熱實(shí)驗(yàn),驗(yàn)證了基于DSP和改進(jìn)共軛梯度的BP神經(jīng)網(wǎng)絡(luò)PID算法的微波加熱溫度控制系統(tǒng)的實(shí)用性和有效性。
[Abstract]:As a new type of heating technology, microwave is characterized by its high efficiency, time saving, uniform heating and no pollution. It shows great advantages and broad prospects in the fields of industry, agriculture and medical treatment. Therefore, with the continuous innovation and development of industrial microwave heating technology, the precision and intelligent control of the output power of micro wave will become microwave heating. The key to the development of technology.
This paper designs an industrial microwave heating automatic control system based on the improved BP neural network PID algorithm based on the improved conjugate gradient. The article mainly expounds the basic principle of the magnetron as the microwave source, the basic characteristics of the microwave heating, the hardware circuit of the temperature detection and control and the intelligent control algorithm of the phase response. As follows:
1. the principle and basic characteristics of microwave heating are summarized. The structure of the microwave heating system is introduced. The basic structure and working principle of the magnetron are explained in detail. Through theoretical analysis, the microwave transmission device and the heating chamber are studied and designed.
2. according to the microwave heating environment, the advantages and disadvantages of several types of temperature sensors are analyzed, and the thermocouple temperature sensor is improved. The hardware circuit design with DSP as the core processor is completed, including three parts, acquisition, monitoring and control. The temperature acquisition circuit is composed of K thermocouple and MAX6675 integrated chip; temperature monitoring unit The LCD liquid crystal display and the host computer software that communicate through the MAX232 serial interface are designed to realize the real-time monitoring of the temperature change, and the control part uses the PWM pulse modulation technology to adjust the output power of the magnetron to realize the intelligent control of the temperature.
3. in view of the characteristics of temperature nonlinear, hysteresis and time-varying, the BP neural network PID algorithm with improved conjugate gradient is adopted. By using MATLAB software, the conventional incremental PID algorithm, BP neural network PID algorithm and the improved conjugate gradient BP neural network PID algorithm are simulated, and the fast response speed and dry resistance are proved theoretically. The feasibility of applying the conjugate gradient BP neural network PID algorithm to the microwave heating intelligent control system is improved. Finally, the practicability and effectiveness of the microwave heating temperature control system based on the BP neural network PID algorithm based on DSP and the improved conjugate gradient are verified by the activated carbon heating experiment.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM924.76

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