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第頁(yè)P(yáng)ID控制算法的C語(yǔ)言實(shí)現(xiàn)一PID算法原理
最近兩天在考慮一般控制算法的C語(yǔ)言實(shí)現(xiàn)問(wèn)題,發(fā)現(xiàn)網(wǎng)絡(luò)上尚沒有一套完整的比較體系的講解。于是總結(jié)了幾天,整理一套思路分享給大家。
在工業(yè)應(yīng)用中PID及其衍生算法是應(yīng)用最廣泛的算法之一,是當(dāng)之無(wú)愧的萬(wàn)能算法,如果能夠熟練掌握PID算法的設(shè)計(jì)及實(shí)現(xiàn)過(guò)程,對(duì)于一般的研發(fā)人員來(lái)講,應(yīng)該是足夠應(yīng)對(duì)一般研發(fā)問(wèn)題了,而難能可貴的是,在我所接觸的控制算法當(dāng)中,PID控制算法又是最簡(jiǎn)單,最能體現(xiàn)反饋思想的控制算法,可謂經(jīng)典中的經(jīng)典。經(jīng)典的未必是復(fù)雜的,經(jīng)典的東西常常是簡(jiǎn)單的,而且是最簡(jiǎn)單的,想想牛頓的力學(xué)三大定律吧,想想愛因斯坦的質(zhì)能方程吧,何等的簡(jiǎn)單!簡(jiǎn)單的不是原始的,簡(jiǎn)單的也不是落后的,簡(jiǎn)單到了美的程度。先看看PID算法的一般形式:
PID的流程簡(jiǎn)單到了不能再簡(jiǎn)單的程度,通過(guò)誤差信號(hào)控制被控量,而控制器本身就是比例、積分、微分三個(gè)環(huán)節(jié)的加和。這里我們規(guī)定(在t時(shí)刻):
1.輸入量為rin(t);
2.輸出量為rout(t);
3.偏差量為err(t)=rin(t)-rout(t);
pid的控制規(guī)律為
理解一下這個(gè)公式,主要從下面幾個(gè)問(wèn)題著手,為了便于理解,把控制環(huán)境具體一下:
1.規(guī)定這個(gè)流程是用來(lái)為直流電機(jī)調(diào)速的;
2.輸入量rin(t)為電機(jī)轉(zhuǎn)速預(yù)定值;
3.輸出量rout(t)為電機(jī)轉(zhuǎn)速實(shí)際值;
4.執(zhí)行器為直流電機(jī);
5.傳感器為光電碼盤,假設(shè)碼盤為10線;
6.直流電機(jī)采用PWM調(diào)速轉(zhuǎn)速用單位轉(zhuǎn)/min表示;
不難看出以下結(jié)論:
1.輸入量rin(t)為電機(jī)轉(zhuǎn)速預(yù)定值(轉(zhuǎn)/min);
2.輸出量rout(t)為電機(jī)轉(zhuǎn)速實(shí)際值(轉(zhuǎn)/min);
3.偏差量為預(yù)定值和實(shí)際值之差(轉(zhuǎn)/min);
那么以下幾個(gè)問(wèn)題需要弄清楚:
1.通過(guò)PID環(huán)節(jié)之后的U(t)是什么值呢?
2.控制執(zhí)行器(直流電機(jī))轉(zhuǎn)動(dòng)轉(zhuǎn)速應(yīng)該為電壓值(也就是PWM占空比)。
3.那么U(t)及PWM之間存在怎樣的聯(lián)系呢?/user1/3407/archives/2006/33541.html(見附錄1)這篇文章上給出了一種方法,即,每個(gè)電壓對(duì)應(yīng)一個(gè)轉(zhuǎn)速,電壓和轉(zhuǎn)速之間呈現(xiàn)線性關(guān)系。但是我考慮這種方法的前提是把直流電機(jī)的特性理解為線性了,而實(shí)際情況下,直流電機(jī)的特性絕對(duì)不是線性的,或者說(shuō)在局部上是趨于線性的,這就是為什么說(shuō)PID調(diào)速有個(gè)范圍的問(wèn)題。具體看一下http://articles.e-works/component/article90249.htm(見附錄2)這篇文章就可以了解了。所以在正式進(jìn)行調(diào)速設(shè)計(jì)之前,需要現(xiàn)有開環(huán)系統(tǒng),測(cè)試電機(jī)和轉(zhuǎn)速之間的特性曲線(或者查閱電機(jī)的資料說(shuō)明),然后再進(jìn)行閉環(huán)參數(shù)整定。這篇先寫到這,下一篇說(shuō)明連續(xù)系統(tǒng)的離散化問(wèn)題。并根據(jù)離散化后的特點(diǎn)講述位置型PID和增量型PID的用法和C語(yǔ)言實(shí)現(xiàn)過(guò)程。PID控制算法的C語(yǔ)言實(shí)現(xiàn)二PID算法的離散化
上一節(jié)中,我論述了PID算法的基本形式,并對(duì)其控制過(guò)程的實(shí)現(xiàn)有了一個(gè)簡(jiǎn)要的說(shuō)明,通過(guò)上一節(jié)的總結(jié),基本已經(jīng)可以明白PID控制的過(guò)程。這一節(jié)中先繼續(xù)上一節(jié)內(nèi)容補(bǔ)充說(shuō)明一下。
1.說(shuō)明一下反饋控制的原理,通過(guò)上一節(jié)的框圖不難看出,PID控制其實(shí)是對(duì)偏差的控制過(guò)程;
2.如果偏差為0,則比例環(huán)節(jié)不起作用,只有存在偏差時(shí),比例環(huán)節(jié)才起作用。
3.積分環(huán)節(jié)主要是用來(lái)消除靜差,所謂靜差,就是系統(tǒng)穩(wěn)定后輸出值和設(shè)定值之間的差值,積分環(huán)節(jié)實(shí)際上就是偏差累計(jì)的過(guò)程,把累計(jì)的誤差加到原有系統(tǒng)上以抵消系統(tǒng)造成的靜差。
4.而微分信號(hào)則反應(yīng)了偏差信號(hào)的變化規(guī)律,或者說(shuō)是變化趨勢(shì),根據(jù)偏差信號(hào)的變化趨勢(shì)來(lái)進(jìn)行超前調(diào)節(jié),從而增加了系統(tǒng)的快速性。
好了,關(guān)于PID的基本說(shuō)明就補(bǔ)充到這里,下面將對(duì)PID連續(xù)系統(tǒng)離散化,從而方便在處理器上實(shí)現(xiàn)。下面把連續(xù)狀態(tài)的公式再貼一下:
假設(shè)采樣間隔為T,則在第KT時(shí)刻:偏差err(K)=rin(K)-rout(K);積分環(huán)節(jié)用加和的形式表示,即err(K)+err(K+1)+……;微分環(huán)節(jié)用斜率的形式表示,即[err(K)-err(K-1)]/T;從而形成如下PID離散表示形式:則u(K)可表示成為:至于說(shuō)Kp、Ki、Kd三個(gè)參數(shù)的具體表達(dá)式,我想可以輕松的推出了,這里節(jié)省時(shí)間,不再詳細(xì)表示了。其實(shí)到這里為止,PID的基本離散表示形式已經(jīng)出來(lái)了。目前的這種表述形式屬于位置型PID,另外一種表述方式為增量式PID,由U上述表達(dá)式可以輕易得到:那么:這就是離散化PID的增量式表示方式,由公式可以看出,增量式的表達(dá)結(jié)果和最近三次的偏差有關(guān),這樣就大大提高了系統(tǒng)的穩(wěn)定性。需要注意的是最終的輸出結(jié)果應(yīng)該為
u(K)+增量調(diào)節(jié)值;PID的離散化過(guò)程基本思路就是這樣,下面是將離散化的公式轉(zhuǎn)換成為C語(yǔ)言,從而實(shí)現(xiàn)微控制器的控制作用。PID控制算法的C語(yǔ)言實(shí)現(xiàn)三位置型PID的C語(yǔ)言實(shí)現(xiàn)
上一節(jié)中已經(jīng)抽象出了位置性PID和增量型PID的數(shù)學(xué)表達(dá)式,這一節(jié),重點(diǎn)講解C語(yǔ)言代碼的實(shí)現(xiàn)過(guò)程,算法的C語(yǔ)言實(shí)現(xiàn)過(guò)程具有一般性,通過(guò)PID算法的C語(yǔ)言實(shí)現(xiàn),可以以此類推,設(shè)計(jì)其它算法的C語(yǔ)言實(shí)現(xiàn)。
第一步:定義PID變量結(jié)構(gòu)體,代碼如下:struct_pid{
floatSetSpeed;
//定義設(shè)定值
floatActualSpeed;
//定義實(shí)際值
floaterr;
//定義偏差值
floaterr_last;
//定義上一個(gè)偏差值
floatKp,Ki,Kd;
//定義比例、積分、微分系數(shù)
floatvoltage;
//定義電壓值(控制執(zhí)行器的變量)
floatintegral;
//定義積分值
}pid;控制算法中所需要用到的參數(shù)在一個(gè)結(jié)構(gòu)體中統(tǒng)一定義,方便后面的使用。
第二部:初始化變量,代碼如下:voidPID_init(){
printf("PID_initbegin\n");
pid.SetSpeed=0.0;
pid.ActualSpeed=0.0;
pid.err=0.0;
pid.err_last=0.0;
pid.voltage=0.0;
egral=0.0;
pid.Kp=0.2;
pid.Ki=0.015;
pid.Kd=0.2;
printf("PID_initend\n");
}統(tǒng)一初始化變量,尤其是Kp,Ki,Kd三個(gè)參數(shù),調(diào)試過(guò)程當(dāng)中,對(duì)于要求的控制效果,可以通過(guò)調(diào)節(jié)這三個(gè)量直接進(jìn)行調(diào)節(jié)。第三步:編寫控制算法,代碼如下:floatPID_realize(floatspeed){
pid.SetSpeed=speed;
pid.err=pid.SetSpeed-pid.ActualSpeed;
egral+=pid.err;
pid.voltage=pid.Kp*pid.err+pid.Ki*egral+pid.Kd*(pid.err-pid.err_last);
pid.err_last=pid.err;
pid.ActualSpeed=pid.voltage*1.0;
returnpid.ActualSpeed;
}注意:這里用了最基本的算法實(shí)現(xiàn)形式,沒有考慮死區(qū)問(wèn)題,沒有設(shè)定上下限,只是對(duì)公式的一種直接的實(shí)現(xiàn),后面的介紹當(dāng)中還會(huì)逐漸的對(duì)此改進(jìn)。
到此為止,PID的基本實(shí)現(xiàn)部分就初步完成了。下面是測(cè)試代碼:intmain(){
printf("Systembegin\n");
PID_init();
intcount=0;
while(count<1000)
{
floatspeed=PID_realize(200.0);
printf("%f\n",speed);
count++;
}
return0;
}下面是經(jīng)過(guò)1000次的調(diào)節(jié)后輸出的1000個(gè)數(shù)據(jù)(具體的參數(shù)整定過(guò)程就不說(shuō)明了,網(wǎng)上這種說(shuō)明非常多):83.000001
11.555000
59.559675
28.175408
52.907421
38.944152
51.891699
46.141651
53.339054
51.509998
55.908450
55.944631
58.970680
59.882936
62.225001
63.537254
65.527707
67.011058
68.810646
70.355318
72.042040
73.595658
75.207620
76.745444
78.301526
79.812136
81.321929
82.800304
84.268909
85.713108
87.143455
88.553005
89.946960
91.322078
92.680996
94.022234
95.347186
96.655242
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99.222808
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199.999473PID控制算法的C語(yǔ)言實(shí)現(xiàn)四增量型PID的C語(yǔ)言實(shí)現(xiàn)
上一節(jié)中介紹了最簡(jiǎn)單的位置型PID的實(shí)現(xiàn)手段,這一節(jié)主要講解增量式PID的實(shí)現(xiàn)方法,位置型和增量型PID的數(shù)學(xué)公式請(qǐng)參見我的系列文《PID控制算法的C語(yǔ)言實(shí)現(xiàn)二》中的講解。實(shí)現(xiàn)過(guò)程仍然是分為定義變量、初始化變量、實(shí)現(xiàn)控制算法函數(shù)、算法測(cè)試四個(gè)部分,詳細(xì)分類請(qǐng)參加《PID控制算法的C語(yǔ)言實(shí)現(xiàn)三》中的講解,這里直接給出代碼了。
#include<stdio.h>
#include<stdlib.h>
struct_pid{
floatSetSpeed;
//定義設(shè)定值
floatActualSpeed;
//定義實(shí)際值
floaterr;
//定義偏差值
floaterr_next;
//定義上一個(gè)偏差值
floaterr_last;
//定義最上前的偏差值
floatKp,Ki,Kd;
//定義比例、積分、微分系數(shù)
}pid;
voidPID_init(){
pid.SetSpeed=0.0;
pid.ActualSpeed=0.0;
pid.err=0.0;
pid.err_last=0.0;
pid.err_next=0.0;
pid.Kp=0.2;
pid.Ki=0.015;
pid.Kd=0.2;
}
floatPID_realize(floatspeed){
pid.SetSpeed=speed;
pid.err=pid.SetSpeed-pid.ActualSpeed;
floatincrementSpeed=pid.Kp*(pid.err-pid.err_next)+pid.Ki*pid.err+pid.Kd*(pid.err-2*pid.err_next+pid.err_last);
pid.ActualSpeed+=incrementSpeed;
pid.err_last=pid.err_next;
pid.err_next=pid.err;
returnpid.ActualSpeed;
}
intmain(){
PID_init();
intcount=0;
while(count<1000)
{
floatspeed=PID_realize(200.0);
printf("%f\n",speed);
count++;
}
return0;
}
運(yùn)行后的1000個(gè)數(shù)據(jù)為:83.000000
11.555000
59.559677
28.175406
52.907425
38.944149
51.891701
46.141655
53.339050
51.510002
55.908447
55.944637
58.970676
59.882942
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199.999512PID控制算法的C語(yǔ)言實(shí)現(xiàn)五積分分離的PID控制算法C語(yǔ)言實(shí)現(xiàn)
通過(guò)三、四兩篇文章,基本上已經(jīng)弄清楚了PID控制算法的最常規(guī)的表達(dá)方法。在普通PID控制中,引入積分環(huán)節(jié)的目的,主要是為了消除靜差,提高控制精度。但是在啟動(dòng)、結(jié)束或大幅度增減設(shè)定時(shí),短時(shí)間內(nèi)系統(tǒng)輸出有很大的偏差,會(huì)造成PID運(yùn)算的積分積累,導(dǎo)致控制量超過(guò)執(zhí)行機(jī)構(gòu)可能允許的最大動(dòng)作范圍對(duì)應(yīng)極限控制量,從而引起較大的超調(diào),甚至是震蕩,這是絕對(duì)不允許的。
為了克服這一問(wèn)題,引入了積分分離的概念,其基本思路是當(dāng)被控量及設(shè)定值偏差較大時(shí),取消積分作用;當(dāng)被控量接近給定值時(shí),引入積分控制,以消除靜差,提高精度。其具體實(shí)現(xiàn)代碼如下:
pid.Kp=0.2;
pid.Ki=0.04;
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