最新PID控制算法的C语言实现(完整版).doc

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1、精品资料PID控制算法的C语言实现(完整版).PID控制算法的C语言实现一 PID算法原理 最近两天在考虑一般控制算法的C语言实现问题，发现网络上尚没有一套完整的比较体系的讲解。于是总结了几天，整理一套思路分享给大家。 在工业应用中PID及其衍生算法是应用最广泛的算法之一，是当之无愧的万能算法，如果能够熟练掌握PID算法的设计与实现过程，对于一般的研发人员来讲，应该是足够应对一般研发问题了，而难能可贵的是，在我所接触的控制算法当中，PID控制算法又是最简单，最能体现反馈思想的控制算法，可谓经典中的经典。经典的未必是复杂的，经典的东西常常是简单的，而且是最简单的，想想牛顿的力学三大定律吧，想想爱

2、因斯坦的质能方程吧，何等的简单！简单的不是原始的，简单的也不是落后的，简单到了美的程度。先看看PID算法的一般形式： PID的流程简单到了不能再简单的程度，通过误差信号控制被控量，而控制器本身就是比例、积分、微分三个环节的加和。这里我们规定（在t时刻）： 1.输入量为rin(t); 2.输出量为rout(t); 3.偏差量为err(t)=rin(t)-rout(t); pid的控制规律为 理解一下这个公式，主要从下面几个问题着手，为了便于理解，把控制环境具体一下： 1.规定这个流程是用来为直流电机调速的; 2.输入量rin(t)为电机转速预定值; 3.输出量rout(t)为电机转速实际值; 4

3、.执行器为直流电机; 5.传感器为光电码盘，假设码盘为10线; 6.直流电机采用PWM调速 转速用单位 转/min 表示; 不难看出以下结论： 1.输入量rin（t）为电机转速预定值（转/min）; 2. 输出量rout(t)为电机转速实际值（转/min）; 3.偏差量为预定值和实际值之差（转/min）; 那么以下几个问题需要弄清楚： 1.通过PID环节之后的U(t)是什么值呢？ 2.控制执行器（直流电机）转动转速应该为电压值（也就是PWM占空比）。 3.那么U(t)与PWM之间存在怎样的联系呢？（见附录1）这篇文章上给出了一种方法，即，每个电压对应一个转速，电压和转速之间呈现线性关系。但是我

4、考虑这种方法的前提是把直流电机的特性理解为线性了，而实际情况下，直流电机的特性绝对不是线性的，或者说在局部上是趋于线性的，这就是为什么说PID调速有个范围的问题。具体看一下http:/articles.e-PID控制算法的C语言实现二 PID算法的离散化 上一节中，我论述了PID算法的基本形式，并对其控制过程的实现有了一个简要的说明，通过上一节的总结，基本已经可以明白PID控制的过程。这一节中先继续上一节内容补充说明一下。 1.说明一下反馈控制的原理，通过上一节的框图不难看出，PID控制其实是对偏差的控制过程; 2.如果偏差为0,则比例环节不起作用，只有存在偏差时，比例环节才起作用。 3.积分

5、环节主要是用来消除静差，所谓静差，就是系统稳定后输出值和设定值之间的差值，积分环节实际上就是偏差累计的过程，把累计的误差加到原有系统上以抵消系统造成的静差。 4.而微分信号则反应了偏差信号的变化规律，或者说是变化趋势，根据偏差信号的变化趋势来进行超前调节，从而增加了系统的快速性。 好了，关于PID的基本说明就补充到这里，下面将对PID连续系统离散化，从而方便在处理器上实现。下面把连续状态的公式再贴一下： 假设采样间隔为T，则在第K T时刻：偏差err(K)=rin(K)-rout(K);积分环节用加和的形式表示，即err(K)+err(K+1)+;微分环节用斜率的形式表示，即err(K)-er

6、r(K-1)/T;从而形成如下PID离散表示形式：则u(K)可表示成为：至于说Kp、Ki、Kd三个参数的具体表达式，我想可以轻松的推出了，这里节省时间，不再详细表示了。其实到这里为止，PID的基本离散表示形式已经出来了。目前的这种表述形式属于位置型PID，另外一种表述方式为增量式PID，由U上述表达式可以轻易得到：那么：这就是离散化PID的增量式表示方式，由公式可以看出，增量式的表达结果和最近三次的偏差有关，这样就大大提高了系统的稳定性。需要注意的是最终的输出结果应该为u(K)+增量调节值;PID的离散化过程基本思路就是这样，下面是将离散化的公式转换成为C语言，从而实现微控制器的控制作用。PI

7、D控制算法的C语言实现三 位置型PID的C语言实现 上一节中已经抽象出了位置性PID和增量型PID的数学表达式，这一节，重点讲解C语言代码的实现过程，算法的C语言实现过程具有一般性，通过PID算法的C语言实现，可以以此类推，设计其它算法的C语言实现。 第一步：定义PID变量结构体，代码如下：struct _pid float SetSpeed; /定义设定值 float ActualSpeed; /定义实际值 float err; /定义偏差值 float err_last; /定义上一个偏差值 float Kp,Ki,Kd; /定义比例、积分、微分系数 float voltage; /定义电

8、压值（控制执行器的变量） float integral; /定义积分值pid;控制算法中所需要用到的参数在一个结构体中统一定义，方便后面的使用。 第二部：初始化变量，代码如下：void PID_init() printf(PID_init begin n); pid.SetSpeed=0.0; pid.ActualSpeed=0.0; pid.err=0.0; pid.err_last=0.0; pid.voltage=0.0; pid.integral=0.0; pid.Kp=0.2; pid.Ki=0.015; pid.Kd=0.2; printf(PID_init end n);统一初始

9、化变量，尤其是Kp,Ki,Kd三个参数，调试过程当中，对于要求的控制效果，可以通过调节这三个量直接进行调节。第三步：编写控制算法，代码如下：float PID_realize(float speed) pid.SetSpeed=speed; pid.err=pid.SetSpeed-pid.ActualSpeed; pid.integral+=pid.err; pid.voltage=pid.Kp*pid.err+pid.Ki*pid.integral+pid.Kd*(pid.err-pid.err_last); pid.err_last=pid.err; pid.ActualSpeed=pi

10、d.voltage*1.0; return pid.ActualSpeed;注意：这里用了最基本的算法实现形式，没有考虑死区问题，没有设定上下限，只是对公式的一种直接的实现，后面的介绍当中还会逐渐的对此改进。 到此为止，PID的基本实现部分就初步完成了。下面是测试代码：int main() printf(System begin n); PID_init(); int count=0; while(count1000) float speed=PID_realize(200.0); printf(%fn,speed); count+; return 0;下面是经过1000次的调节后输出的100

11、0个数据（具体的参数整定过程就不说明了，网上这种说明非常多）：83.00000111.55500059.55967528.17540852.90742138.94415251.89169946.14165153.33905451.50999855.90845055.94463158.97068059.88293662.22500163.53725465.52770767.01105868.81064670.35531872.04204073.59565875.20762076.74544478.30152679.81213681.32192982.80030484.26890985.71310

12、887.14345588.55300589.94696091.32207892.68099694.02223495.34718696.65524297.94718099.222808100.482601101.726572102.955049104.168125105.366066106.549019107.717187108.870756110.009898111.134811112.245652113.342615114.425860115.495564116.551897117.595029118.625116119.642331120.646826121.638767122.61830

13、7123.585603124.540813125.484079126.415549127.335383128.243715129.140691130.026459130.901149131.764909132.617870133.460162134.291942135.113308135.924419136.725382137.516332138.297401139.068697139.830352140.582499141.325237142.058701142.782985143.498218144.204509144.901969145.590726146.270843146.94248

14、6147.605718148.260674148.907425149.546109150.176794150.799612151.414626152.021959152.621696153.213951153.798781154.376315154.946626155.509812156.065958156.615146157.157471157.693012158.221871158.744097159.259826159.769078160.271991160.768588161.258996161.743264162.221494162.693737163.160075163.62059

15、3164.075347164.524422164.967877165.405795165.838235166.265257166.686967167.103377167.514610167.920681168.321682168.717670169.108719169.494862169.876198170.252740170.624605170.991799171.354406171.712487172.066080172.415265172.760077173.100594173.436838173.768895174.096796174.420594174.740352175.05609

16、6175.367915175.675818175.979886176.280136176.576656176.869444177.158600177.444121177.726087178.004510178.279458178.550967178.819094179.083860179.345315179.603504179.858466180.110241180.358866180.604388180.846849181.086262181.322699181.556172181.786733182.014396182.239222182.461226182.680475182.89697

17、1183.110768183.321881183.530369183.736239183.939545184.140301184.338555184.534321184.727651184.918558185.107080185.293243185.477080185.658625185.837886186.014930186.189745186.362382186.532859186.701207186.867437187.031605187.193713187.353802187.511884187.667997187.822151187.974384188.124700188.27314

18、8188.419728188.564488188.707429188.848592188.987995189.125644189.261576189.395801189.528364189.659258189.788528189.916170190.042233190.166702190.289633190.411007190.530867190.649236190.766119190.881544190.995531191.108087191.219243191.329005191.437382191.544428191.650111191.754504191.857565191.95935

19、0192.059857192.159119192.257135192.353919192.449511192.543890192.637105192.729137192.820032192.909776192.998410193.085920193.172360193.257700193.341993193.425214193.507408193.588568193.668715193.747847193.826004193.903175193.979391194.054643194.128963194.202349194.274828194.346393194.417073194.48685

20、4194.555777194.623820194.691027194.757390194.822919194.887626194.951536195.014633195.076965195.138496195.199273195.259270195.318547195.377060195.434856195.491918195.548283195.603919195.658886195.713145195.766734195.819654195.871912195.923517195.974472196.024791196.074478196.123558196.172016196.21985

21、9196.267115196.313778196.359851196.405363196.450296196.494672196.538492196.581753196.624494196.666678196.708363196.749493196.790138196.830267196.869889196.909019196.947656196.985803197.023493197.060701197.097449197.133733197.169558197.204940197.239872197.274378197.308436197.342089197.375309197.40812

22、5197.440523197.472520197.504114197.535309197.566127197.596546197.626594197.656258197.685546197.714486197.743047197.771265197.799113197.826629197.853799197.880631197.907131197.933284197.959122197.984629198.009823198.034705198.059275198.083520198.107481198.131129198.154493198.177566198.200349198.22284

23、3198.245062198.267001198.288662198.310059198.331178198.352049198.372645198.392982198.413066198.432911198.452499198.471846198.490953198.509819198.528439198.546842198.565003198.582945198.600648198.618147198.635415198.652474198.669313198.685955198.702378198.718611198.734625198.750448198.766067198.78149

24、7198.796736198.811776198.826628198.841303198.855788198.870087198.884218198.898162198.911943198.925538198.938970198.952229198.965320198.978257198.991033199.003643199.016092199.028390199.040542199.052536199.064373199.076067199.087617199.099019199.110280199.121407199.132381199.143240199.153940199.16451

25、1199.174957199.185270199.195457199.205514199.215440199.225262199.234930199.244503199.253928199.263275199.272468199.281571199.290541199.299421199.308165199.316815199.325345199.333789199.342115199.350336199.358462199.366479199.374396199.382228199.389943199.397586199.405110199.412555199.419891199.42715

26、2199.434307199.441389199.448363199.455264199.462073199.468802199.475442199.481995199.488475199.494857199.501183199.507404199.513578199.519639199.525656199.531579199.537437199.543230199.548936199.554583199.560149199.565647199.571073199.576436199.581730199.586961199.592118199.597220199.602260199.60721

27、8199.612132199.616974199.621764199.626486199.631156199.635757199.640316199.644808199.649249199.653636199.657959199.662246199.666457199.670635199.674752199.678815199.682833199.686798199.690715199.694583199.698409199.702177199.705905199.709582199.713209199.716788199.720339199.723826199.727276199.73069

28、0199.734054199.737378199.740657199.743901199.747111199.750260199.753393199.756474199.759526199.762524199.765490199.768422199.771314199.774169199.776992199.779775199.782527199.785247199.787938199.790590199.793204199.795787199.798338199.800860199.803343199.805802199.808225199.810624199.812986199.81532

29、6199.817642199.819915199.822175199.824388199.826587199.828755199.830902199.833006199.835097199.837155199.839194199.841210199.843191199.845168199.847096199.849024199.850905199.852784199.854621199.856449199.858238199.860016199.861757199.863486199.865199199.866879199.868549199.870186199.871813199.87341

30、9199.874997199.876563199.878109199.879620199.881136199.882613199.884088199.885527199.886971199.888371199.889783199.891142199.892518199.893845199.895180199.896485199.897783199.899057199.900322199.901562199.902797199.904010199.905222199.906392199.907576199.908720199.909875199.910985199.912108199.91319

31、3199.914287199.915352199.916423199.917459199.918505199.919527199.920526199.921513199.922496199.923452199.924415199.925348199.926275199.927198199.928108199.929019199.929903199.930788199.931653199.932509199.933353199.934187199.935002199.935816199.936617199.937420199.938195199.938971199.939733199.94047

32、7199.941228199.941961199.942685199.943392199.944111199.944804199.945491199.946181199.946854199.947518199.948165199.948824199.949456199.950083199.950714199.951326199.951930199.952532199.953125199.953714199.954290199.954863199.955424199.955979199.956538199.957073199.957623199.958146199.958671199.95918

33、9199.959693199.960203199.960689199.961191199.961665199.962156199.962619199.963098199.963543199.964014199.964448199.964907199.965330199.965772199.966201199.966625199.967046199.967458199.967868199.968263199.968664199.969047199.969437199.969817199.970193199.970565199.970943199.971297199.971668199.97201

34、1199.972363199.972712199.973047199.973388199.973726199.974049199.974379199.974699199.975014199.975326199.975645199.975939199.976249199.976546199.976832199.977125199.977414199.977688199.977969199.978247199.978525199.978782199.979061199.979312199.979576199.979825199.980077199.980335199.980569199.98081

35、2199.981053199.981300199.981522199.981755199.981984199.982213199.982427199.982648199.982860199.983080199.983298199.983501199.983704199.983914199.984114199.984309199.984500199.984698199.984887199.985079199.985262199.985442199.985623199.985803199.985984199.986170199.986327199.986508199.986668199.98684

36、6199.987006199.987169199.987321199.987481199.987633199.987800199.987948199.988094199.988237199.988386199.988526199.988675199.988815199.988965199.989090199.989231199.989359199.989491199.989629199.989757199.989889199.990012199.990133199.990253199.990373199.990493199.990614199.990734199.990854199.99096

37、0199.991072199.991180199.991289199.991398199.991507199.991616199.991718199.991837199.991922199.992025199.992123199.992214199.992314199.992412199.992503199.992604199.992701199.992792199.992878199.992967199.993047199.993136199.993216199.993305199.993385199.993474199.993554199.993637199.993726199.99380

38、6199.993881199.993952199.994024199.994101199.994170199.994241199.994313199.994391199.994459199.994531199.994602199.994680199.994748199.994805199.994868199.994928199.994989199.995049199.995109199.995175199.995226199.995295199.995346199.995416199.995466199.995536199.995593199.995653199.995713199.99575

39、9199.995811199.995859199.995902199.995960199.995999199.996051199.996100199.996148199.996191199.996249199.996288199.996340199.996389199.996438199.996480199.996538199.996578199.996629199.996678199.996712199.996746199.996787199.996824199.996855199.996896199.996927199.996967199.997005199.997036199.99707

40、6199.997113199.997145199.997185199.997216199.997256199.997294199.997325199.997365199.997403199.997434199.997474199.997512199.997543199.997583199.997614199.997640199.997669199.997689199.997711199.997740199.997760199.997789199.997809199.997838199.997858199.997880199.997909199.997929199.997958199.99797

41、8199.998007199.998027199.998049199.998078199.998098199.998127199.998147199.998170199.998199199.998218199.998247199.998267199.998296199.998316199.998339199.998368199.998387199.998416199.998436199.998459199.998488199.998508199.998537199.998556199.998585199.998590199.998605199.998616199.998634199.99864

42、2199.998654199.998665199.998676199.998694199.998702199.998714199.998725199.998743199.998745199.998766199.998774199.998785199.998803199.998805199.998826199.998834199.998845199.998863199.998871199.998883199.998894199.998905199.998923199.998931199.998943199.998954199.998972199.998974199.998995199.99900

43、3199.999014199.999032199.999034199.999055199.999063199.999074199.999092199.999094199.999115199.999123199.999135199.999152199.999161199.999172199.999183199.999201199.999203199.999224199.999232199.999243199.999261199.999263199.999284199.999292199.999304199.999321199.999323199.999344199.999352199.99936

44、4199.999381199.999390199.999401199.999412199.999430199.999432199.999453199.999461199.999473PID控制算法的C语言实现四 增量型PID的C语言实现 上一节中介绍了最简单的位置型PID的实现手段，这一节主要讲解增量式PID的实现方法，位置型和增量型PID的数学公式请参见我的系列文PID控制算法的C语言实现二中的讲解。实现过程仍然是分为定义变量、初始化变量、实现控制算法函数、算法测试四个部分，详细分类请参加PID控制算法的C语言实现三中的讲解，这里直接给出代码了。#include#includestruct _pid float SetSpeed;