Question

翻译下面一段话，要人工翻译不要电脑的，我的这个摘要是上交后被说翻译不行。要速度啊，在线等。

温度是我们所熟悉的一种无处不在的变量。它的应用极其广泛，尤其是在工业的生产领域中。温度控制的精度也是非常重要的，它会涉及到一个产品或者一个实验的成败、质量等问题。温度控制主要基于自动理论控制算法，传统的温度控制一般使用的是PID控制。但是PID控制有着缺点，本文分析传统PID控制的优劣性,并针对传统PID控制在非线性的条件下难以保持系统性能的缺憾，提出采用智能控制算法，即使用神经网络算法和传统PID控制算法相结合,使其发挥各自的优点，形成一个能参数自整定的PID控制器。神经网络能逼近非线性，主要是对其加权系数的调整，故能和传统的PID结合实现最佳组合的PID温度控制。
关键词：温度控制,PLC,神经网络PID，固态继电器

Answer 1

Temperature is a ubiquitous in our familiar variables. It has been used widely in many fields, especially in the industrial areas of production. The accuracy of temperature control is also very important, it relates to a product or the success of the experiment, quality etc.. Temperature control is mainly based on automatic control theory algorithm, traditional temperature control is used in the PID control. But the PID control has a defect, analysis of the pros and cons of traditional PID control and traditional PID control in this paper, the nonlinear conditions is difficult to maintain the performance of the system deficiencies, the intelligent control algorithm, which uses neural network algorithm and the traditional PID control algorithm combined, make it play to their respective advantages, the formation of a parameter self-tuning of PID controller. Neural networks can approximate nonlinear, mainly for its weighting coefficients adjustment, it can and traditional PID with optimal PID temperature control.

追问

插 百度我也会

追答

嘿嘿

Answer 2

Temperature is the variable we are familiar with the ubiquitous. It is widely used, particularly in the areas of industrial production. Temperature control accuracy is also very important, and it involves a product or an experimental success, quality and other issues. Mainly based on the theory of automatic control algorithm for temperature control, temperature control is generally used for traditional PID control. PID control with shortcomings, this paper analyzes the advantages and disadvantages of traditional PID control, traditional PID control in non-linear and hard to keep the system under the conditions of performance defects, about the use of intelligent control algorithm that uses neural network algorithm combined with traditional PID control algorithm so that they play their respective advantages, form a parameter self-tuning PID controller. Neural network approximation for nonlinear, primarily adjustments to its weighting factor, and PID combination to achieve the best combination of traditional PID temperature control.

追问

这个是人工的吧，别坑我。

追答

没有百分之百对，肯定有百分之八十了~~

Answer 3

我是字字翻译的啊，累坏啦。。你们的理科太难了。。。
Summary:
Temperature is one of the ubiquitous variables we are familiar with. It has a wide range of applications, especially in the field of industrial production. The accuracy of the temperature control is very important, it will affect a product or an experimental success, quality and other issues. Temperature control is mainly based on automatic controlalgorithm theory. PID control is generally used as a conventional temperature control, however, PID control has a drawback. The paper analyzes the advantages and disadvantages of traditional PID control, and proposes the intelligent control algorithm by analyzing the traditional PID control being difficult tomaintain system performance in non-linear conditions, which uses neural network algorithm and the traditional PID control algorithm, to play their respectiveadvantages, forming an energy parameter self-tuning PID controller. Neural networks can draw near non-linear, which just has made the adjustment of itsweighting coefficient, thus achieving the best temperature control by combination of traditional PID.

Keywords: temperature control, PLC, neuralnetwork PID, solid-state relay