基于dsp的点焊逆变电源智能.doc
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基于dsp的点焊逆变电源智能,摘要逆变式焊接电源具有体积小、重量轻、节能省材、效率高、电气性能好、易于实现智能化控制等诸多优点，成为焊接电源发展的必然趋势。本文通过对目前国内外点焊逆变式电源发展现状及所存在的问题进行分析和总结，提出了软开关点焊逆变电源主电路拓扑结构和数字化、智能化的控制方法，为点焊逆变电源向着高效率、智能化的方向发展提供了理论基础...
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摘 要
逆变式焊接电源具有体积小、重量轻、节能省材、效率高、电气性能好、易于实现智能化控制等诸多优点，成为焊接电源发展的必然趋势。本文通过对目前国内外点焊逆变式电源发展现状及所存在的问题进行分析和总结，提出了软开关点焊逆变电源主电路拓扑结构和数字化、智能化的控制方法，为点焊逆变电源向着高效率、智能化的方向发展提供了理论基础。
当前实际生产应用中点焊逆变电源的主电路多采用硬开关方式，功率开关器件开关应力大，损耗高，从而降低了电源的利用效率，对此，软开关技术大大缓解了这一难题。本文对软开关点焊逆变电源主电路的多种拓扑结构进行了对比分析，选用移相全桥零电压零电流(PS-FB-ZVZCS)软开关主电路，详细介绍了其软开关实现过程，并给出了电路模型和关键元器件的参数设计。选用数字信号处理器(DSP)作为主电路控制核心，在系统的工作过程中，实时采集负载电流值(在硬件电路中转换为电阻两端的电压值)，通过控制算法计算，输出相应的移相PWM驱动波形，通过调节对角线上两个功率开关同时导通的时间实现电源的恒电流控制。针对当前手动PID调节的弊端，提出了模糊神经网络PID智能控制方法，模糊神经网络根据其输入量，通过网络计算输出该时刻相匹配的PID参数进行PID控制，同时根据控制指标不断修正连接权值，使下一时刻的系统输出量更接近期望值，如此反复的运行，在线优化控制参数，实现输出量的实时调整，最终根据系统运行状态实现点焊逆变电源的恒电流控制。
本文搭建了点焊逆变电源的系统模型，实现了模糊神经网络PID的智能化控制方法。利用实验室条件模拟了逆变电源模型，设计了PWM驱动电路及电路采样板并给出了具体的工作原理分析，利用DSP产生相应的移相PWM波驱动桥式电路，实现了逆变电源的恒电流控制。
实验证明，模糊神经网络PID能根据系统运行状态在线优化PID参数，实现电源的恒电流控制，对点焊逆变电源智能化控制技术的发展具有一定的意义。
关键词 点焊逆变电源；数字化；模糊神经网络；移相PWM；恒电流
Abstract
There are many advantages of inverter welding power, such as small volume, little weight, low energy, high efficiency, good electrical performance, easy to realize intelligent control and so on, so inverter welding power has been an inevitable trend of welding power. The paper put forward the soft switching circuit topological structure and digital, intelligent control method through the analysis on the present situation and existing problems of domestic and foreign inverter welding power, which provided theory basis for the development of inverter welding power to be high efficiency and intelligent.
In the present time, the main circuit of spot welding inverter power in the practical application is hard switching. The big switching stress and high loss of the switching devices lower the power efficiency. However, the research on soft switching technique indicated a new method to solve the problem. Through the comparative analysis of kinds of soft switching circuit topological structure, the main circuit of phase shifting-full bridge-zero voltage zero current (PS-FB-ZVZCS) was selected. The paper introduced the realizing process of soft switching, circuit model and parameters design of key components in detail. The control core was digital signal processor (DSP), and in the practical system, collecting the real time load current(in the hardware circuit, collecting the voltage of the resistance), dealing with it according to the algorithm and then output corresponding phase-shifting PWM to drive the switches to realize the constant current control. In view of the drawbacks of traditional PID, The paper put forward a new control algorithm Fuzzy-Neural Network-PID. When detecting inputs, computing them according to fuzzy neural network, output three corresponding matching parameters of PID, and then doing PID control, meanwhile, feedback the error between the reference and the output of the system to fix the connecting weights, and finally realizing the real time adjustment in line with the status of the system.
The article built the system model of spot welding inverter power, and achieved the intelligent control algorithm of fuzzy neural network PID on line. Designed PWM driving circuit and sampling circuit, introduced their working principle, produced phase-shifting PWM of DSP to drive the whole bridge circuit, and fulfilled the constant current control of inverter power.
The results indicated that, Fuzzy-Neural Network-PID algorithm could achieve the parameters of PID matching and constant current control according to the running system, which had certain significance to the development of the intelligent control technology of the spot welding inverter power.
Key words spot welding inverter power; digital; fuzzy neural network; phase-shifting PWM; constant current
目 录
摘 要 I
Abstract III
第1章 绪论 1
1.1 课题的背景和意义 1
1.2 点焊逆变电源的发展现状及趋势 2
1.2.1 点焊逆变电源的发展现状 2
1.2.2 点焊逆变电源的发展趋势 3
1.3 智能控制技术在点焊中的应用 3
1.4 本课题的研究内容 4
第2章 软开关点焊逆变主电路拓扑结构及工作原理 5
2.1 软开关技术在点焊逆变主电路中的应用 5
2.1.1 软开关技术 5
2.1.2 软开关技术应用于点焊逆变主电路 7
2.2 软开关点焊逆变主电路拓扑结构 7
2.3 点焊逆变电源主电路 8
2.3.1 逆变主..
逆变式焊接电源具有体积小、重量轻、节能省材、效率高、电气性能好、易于实现智能化控制等诸多优点，成为焊接电源发展的必然趋势。本文通过对目前国内外点焊逆变式电源发展现状及所存在的问题进行分析和总结，提出了软开关点焊逆变电源主电路拓扑结构和数字化、智能化的控制方法，为点焊逆变电源向着高效率、智能化的方向发展提供了理论基础。
当前实际生产应用中点焊逆变电源的主电路多采用硬开关方式，功率开关器件开关应力大，损耗高，从而降低了电源的利用效率，对此，软开关技术大大缓解了这一难题。本文对软开关点焊逆变电源主电路的多种拓扑结构进行了对比分析，选用移相全桥零电压零电流(PS-FB-ZVZCS)软开关主电路，详细介绍了其软开关实现过程，并给出了电路模型和关键元器件的参数设计。选用数字信号处理器(DSP)作为主电路控制核心，在系统的工作过程中，实时采集负载电流值(在硬件电路中转换为电阻两端的电压值)，通过控制算法计算，输出相应的移相PWM驱动波形，通过调节对角线上两个功率开关同时导通的时间实现电源的恒电流控制。针对当前手动PID调节的弊端，提出了模糊神经网络PID智能控制方法，模糊神经网络根据其输入量，通过网络计算输出该时刻相匹配的PID参数进行PID控制，同时根据控制指标不断修正连接权值，使下一时刻的系统输出量更接近期望值，如此反复的运行，在线优化控制参数，实现输出量的实时调整，最终根据系统运行状态实现点焊逆变电源的恒电流控制。
本文搭建了点焊逆变电源的系统模型，实现了模糊神经网络PID的智能化控制方法。利用实验室条件模拟了逆变电源模型，设计了PWM驱动电路及电路采样板并给出了具体的工作原理分析，利用DSP产生相应的移相PWM波驱动桥式电路，实现了逆变电源的恒电流控制。
实验证明，模糊神经网络PID能根据系统运行状态在线优化PID参数，实现电源的恒电流控制，对点焊逆变电源智能化控制技术的发展具有一定的意义。
关键词 点焊逆变电源；数字化；模糊神经网络；移相PWM；恒电流
Abstract
There are many advantages of inverter welding power, such as small volume, little weight, low energy, high efficiency, good electrical performance, easy to realize intelligent control and so on, so inverter welding power has been an inevitable trend of welding power. The paper put forward the soft switching circuit topological structure and digital, intelligent control method through the analysis on the present situation and existing problems of domestic and foreign inverter welding power, which provided theory basis for the development of inverter welding power to be high efficiency and intelligent.
In the present time, the main circuit of spot welding inverter power in the practical application is hard switching. The big switching stress and high loss of the switching devices lower the power efficiency. However, the research on soft switching technique indicated a new method to solve the problem. Through the comparative analysis of kinds of soft switching circuit topological structure, the main circuit of phase shifting-full bridge-zero voltage zero current (PS-FB-ZVZCS) was selected. The paper introduced the realizing process of soft switching, circuit model and parameters design of key components in detail. The control core was digital signal processor (DSP), and in the practical system, collecting the real time load current(in the hardware circuit, collecting the voltage of the resistance), dealing with it according to the algorithm and then output corresponding phase-shifting PWM to drive the switches to realize the constant current control. In view of the drawbacks of traditional PID, The paper put forward a new control algorithm Fuzzy-Neural Network-PID. When detecting inputs, computing them according to fuzzy neural network, output three corresponding matching parameters of PID, and then doing PID control, meanwhile, feedback the error between the reference and the output of the system to fix the connecting weights, and finally realizing the real time adjustment in line with the status of the system.
The article built the system model of spot welding inverter power, and achieved the intelligent control algorithm of fuzzy neural network PID on line. Designed PWM driving circuit and sampling circuit, introduced their working principle, produced phase-shifting PWM of DSP to drive the whole bridge circuit, and fulfilled the constant current control of inverter power.
The results indicated that, Fuzzy-Neural Network-PID algorithm could achieve the parameters of PID matching and constant current control according to the running system, which had certain significance to the development of the intelligent control technology of the spot welding inverter power.
Key words spot welding inverter power; digital; fuzzy neural network; phase-shifting PWM; constant current
目 录
摘 要 I
Abstract III
第1章 绪论 1
1.1 课题的背景和意义 1
1.2 点焊逆变电源的发展现状及趋势 2
1.2.1 点焊逆变电源的发展现状 2
1.2.2 点焊逆变电源的发展趋势 3
1.3 智能控制技术在点焊中的应用 3
1.4 本课题的研究内容 4
第2章 软开关点焊逆变主电路拓扑结构及工作原理 5
2.1 软开关技术在点焊逆变主电路中的应用 5
2.1.1 软开关技术 5
2.1.2 软开关技术应用于点焊逆变主电路 7
2.2 软开关点焊逆变主电路拓扑结构 7
2.3 点焊逆变电源主电路 8
2.3.1 逆变主..
