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" } }, "cell_type": "markdown", "id": "05efad89-a8f7-433a-ae09-e7f072244f13", "metadata": {}, "source": [ "# Controlador PID\n", "\n", "O controlador PID é um dos mais utilizados na indústria para controlar sistemas de feedback. Pontos fortes são a simplicidade e a capacidade de alcançar um bom desempenho em uma ampla variedade de situações sem a necessidade de conhecer em detalhe o processo a ser controlado.\n", "\n", "O controlador PID foi introduzido em 1911, a primeira análise teórica é de 1922. Nesses tempos, o controle PID era exclusivamente analógico. No entanto, é fácil implementar um PID digital na programação e os cálculos necessários são simples e eficientes. \n", "\n", "Apesar da (quase)omnipresença e popularidade, o PID não é o melhor controlador disponível. No entanto, na maioria dos casos, serve muito bem. E muitos controladores “modernos” são versões melhoradas de um PID, como por exemplo PIDs com parâmetros adaptativos.\n", "\n", "A tarefa de um controlador em malha fechada é de transformar em tempo real o sinal de erro $e(t)=setPoint(t)-y(t)$ na entrada do controlador num sinal ou comando de controlo $u(t)$ na saída do controlador. \n", "\n", "O algoritmo PID (proporcional, integral, derivado) é formado pela soma de três componentes: proporcional, integral e derivado. \n", "\n", "![Screenshot 2024-10-17 at 07-36-56 How to solve a simple control system problem with Laplace Transform by Yan Ding Medium.png](attachment:e4d5d6c4-12e3-4b5a-947f-adc0d96cae5d.png)\n", "\n", "A função de transferência $u(e)$ do controlador PID é definida por: \n", "\n", "$$u(t)=K_p \\cdot e(t)+K_i \\int_{0}^{t}e(t) + K_d \\frac{d e(t)}{dt}$$\n", "em que:\n", "- $K_p$ ganho proporcional\n", "- $K_i$ ganho integral\n", "- $K_d$ ganho differential\n", "\n", "A magnitude de cada coeficiente (ou: parâmetro) $K_p$, $K_i$ e $K_d$ representa o peso respetivo no sinal de controlo. O peso pode variar entre zero e um valor máximo positivo. Controladores com um ou dois coeficientes nulos são referidos como 'Controlador P' ou 'Controlador PI' ou 'Controlador PD'.\n", "\n", "Uma descrição alternativa do controlador PID usa um ganha único do controlador $K_c=K_p$ que em conjunto com constantes de tempo característicos $T_i$ para o ganho integral e $T_d$ para o ganho derivativo resulta na seguinte equação:\n", "\n", "$$u(t)=K_c \\cdot \\left (e(t)+\\frac{1}{T_i} \\int_{0}^{t}e(t) + T_d \\frac{d e(t)}{dt} \\right )$$\n", "\n", "Para qualquer uma das descrições, podemos classificar o 'papel' de cada coeficente da seguinte maneira:\n", "\n", "- `Controlo proporcional`: o ganho proporcional $K_p$ ajusta a saída do processo com base no erro `presente`, ou seja, quanto maior o desvio agora, maior a compensação. Esta é a parte mais intuitiva, e é sempre o primeiro parametro a ajustar. O valor do ganho proporcional deve ser ajustado de modo a chegar rápido o suficiente ao nivel desejado do sinal de saida. No entanto, é preciso ter atenção para não 'forçar' demasiado a saida (evitar transitórios demasiado bruscos e/ou magntitudes demasiado elevadas). Assim, ao afinar os coeficientes, é boa prática começar com valores baixos para $K_p$, e ir incrementando ao observar a resposta do sistema.\n", " \n", "- `Controlo integral`: o ganho integral $K_i$ ajusta a saída com base no erro acumulado ao longo do tempo, a soma dos erros do `passado`. Ajuda a eliminar o erro de estado estacionário e pode melhorar a estabilidade do sistema de controle. É uma espécie de 'memoria' ao longo do tempo. \n", "\n", "- `Controlo derivativo`: o ganho differential $K_d$ ajusta a saída com base na taxa de alteração do erro. Isto ajuda a amortecer ossciliações e melhorar a estabilidade do sistema de control. Muitas vezes é omitido porque o controlo PI é considerado suficiente. O ganho differential pode amplificar o ruído de medição e causar mudanças excessivas de saída. Filtros poderão ser importantes para obter uma melhor estimativa da taxa variável de mudança do processo. É a parte do controlador que espreita o `futuro`.Para evitar mudanças abruptas na saida quando o setpoint saltar, o control derivativo pode ser calculado em função da variável de stado $y(t)$ do sistema:\n", "$$u(t)=K_P \\cdot e(t)+K_i \\int_{0}^{t}e(t) - K_d \\frac{d y(t)}{dt}$$\n", "\n", "Para que a resposta PID seja ótima, é preciso ajustar corretamente os três parâmetros. Se o valor de um coeficiente for muito baixo, o efeito na saída não será notado. Se o valor de um coeficiente for muito alto, pode passar a governar o comportamento do sistema por completo, incluindo efeitos indesejáveis.\n", "\n", "O problema na prática então é encontrar um conjunto de valores numéricos adequados para os coeficientes $K_p$, $K_p$ e $K_p$ que garantem que o comportamento do sistema a controlar é de acordo com o esperado. Trata se de um problema de otimização numérica que tem na maioria dos casos o objetivo que a variável de estado do sistema (o que se pretende controlar) siga o sinal do comando $u(t)$ da maneira mais rápida e precisa possivel, mesmo na presença de perturbações externas. \n", "\n", "No arduino vamos implementar um controlador PID baseado em diferenças finitas:\n", "$$u(t_k)=K_P \\cdot e(t_k)+K_i \\sum_{0}^{k}e(t_k) \\cdot + K_d \\frac{e(t)-e(t_{k-1})}{t_k-t_{k-1}}$$" ] }, { "cell_type": "markdown", "id": "f0b4e53d", "metadata": {}, "source": [ "## Afinar os coeficientes PID ('PID tuning')\n", "\n", "Saida do controlador PID a responder ao salto do setpoint, para três valores de Kp (Ki e Kd mantidos constantes)\n", "\n", "![Saida do controlador PID a responder ao salto do setpoint, para três valores de Kp (Ki e Kd mantidos constantes) (da wikipedia)](https://upload.wikimedia.org/wikipedia/commons/a/a3/PID_varyingP.jpg)\n", "\n", "Saida do controlador PID a responder ao salto do setpoint, para três valores de Ki (Kp e Kd mantidos constantes)\n", "![Saida do controlador PID a responder ao salto do setpoint, para três valores de Ki (Kp e Kd mantidos constantes) (da wikipedia)](https://upload.wikimedia.org/wikipedia/commons/c/c0/Change_with_Ki.png)\n", "\n", "Saida do controlador PID a responder ao salto do setpoint, para três valores de Kd (Kp e Ki mantidos constantes\n", "![Saida do controlador PID a responder ao salto do setpoint, para três valores de Kd (Kp e Ki mantidos constantes) (da wikipedia)](https://upload.wikimedia.org/wikipedia/commons/c/c7/Change_with_Kd.png)\n", "\n", "Impacto na variação de vários parâmetros PID (Kp, Ki, Kd) na resposta de um sistema\n", "![Animação: Impacto na variação de vários parâmetros PID (Kp, Ki, Kd) na resposta de um sistema) (da wikipedia)](https://upload.wikimedia.org/wikipedia/commons/3/33/PID_Compensation_Animated.gif)\n", "\n", "## Procedimento para ajuste manual\n", "- Um método de ajuste é começar com $K_i=0$ e $K_d=0$. \n", "- Aumentar $K_p$ a partir de zero até que a o sinal na saida oscila;\n", " em seguida, definir para $K_p$ para aproximadamente metade desse valor.\n", "- Em seguida, aumentar K_i até que no regime (quasi)estacionário qualquer diferença (`offset`) entre valor real/medida e setpoint seja desprezável - mas parar de entrar no regime de grandes oscilações que causa instabilidade.\n", "- Caso necessário, aumentar $K_d$, até que o controlo seja suficientemente rápido para voltar a chegar ao setpoint após uma perturbação. $K_p$ muito alto causa resposta excessiva e overshoot. \n", "\n", "Descrição de exemplo detalhado __[aqui](https://tlk-energy.de/blog-en/practical-pid-tuning-guide)__. " ] }, { "cell_type": "markdown", "id": "06ee29ab-2c0d-4932-a77d-323095e770ce", "metadata": {}, "source": [ "## PID no arduino (exemplo 1) \n", "\n", "Exemplo de implementação de controlador PID em Arduino (sem biblioteca)\n", "\n", "```c++\n", "\n", "//define pins\n", "#define POT A0 //analog input for testing\n", "//#define RPM 2\n", "#define LED 9 //digital output for testing\n", "//#define PWM 5\n", "\n", "//define controller PID coefficient constants\n", "#define KP 1.0\n", "#define KI 0.0 \n", "#define KD 0.0\n", "\n", "//declare controller external input/output\n", "float setPoint, input,output; //input = feedback \n", "\n", "//declare controller internal variable\n", "float error,lastErr,dErr,errSum;\n", "unsigned long now,lastTime,dt;\n", "\n", "void setup(){\n", " //Serial.begin(115200);\n", " //initial values\n", " setPoint=100.0;\n", " errSum=0.0;\n", " lastTime=millis();\n", "}\n", "\n", "float getSetpoint(){\n", " return 100.0; //track setpoint if changes\n", "}\n", "\n", "float getInput(){\n", " return 0.0; //add model...\n", "}\n", "\n", "void actOutput(){\n", " analogWrite(LED,output); //exemplo\n", "}\n", "\n", "void updatePID(){\n", " //get time\n", " now = millis();\n", " dt=now-lastTime;\n", " //get setpoint\n", " setPoint=getSetpoint();\n", " //make measurement\n", " input=getInput();\n", " /* calculate error variables*/\n", " error = setPoint - input;\n", " errSum += (error * dt);\n", " dErr = (error - lastErr) / dt;\n", " /*update memory for next time*/\n", " lastErr = error;\n", " lastTime = now;\n", " /*Compute and return PID Output*/\n", " output= KP * error + KI * errSum + KD * dErr;\n", "}\n", "\n", "void showValues(){\n", " Serial.print(setPoint);\n", " Serial.print(',');\n", " Serial.println(output);\n", " }\n", " \n", "void loop(){\n", " updatePID();\n", " showValues();\n", " delay(100);\n", "}\n", "\n", "```" ] }, { "cell_type": "markdown", "id": "9df733c2-e6af-45b8-9700-91cce7a7e011", "metadata": {}, "source": [ "## PID no arduino (exemplo 2) \n", "Código de controlador PID para arduino (com biblioteca)\n", "\n", "A implementação de um controlador PID no arduino com um código simples muitas vezes resulta bem. No entanto, para ter uma solução mais robusta como em controladores industriais, é conveniente usar uma das bibliotecas disponiveis do arduino que implementam controladores PID. Uma das (primeiras) bibliotecas foi a \n", "`PID` __[(informação detalhada cf. blog do autor)](http://brettbeauregard.com/blog/2011/04/improving-the-beginners-pid-introduction/)__.\n", "Quando instalada, ficam disponiveis na `IDE Arduino -> File -> Examples -> PID`varios programas exemplo, como o `PID_Basic.ino` transcrito em baixo.\n", "Referência técnica sobre a biblioteca disponivel na página do __[(Arduino Playground)](https://playground.arduino.cc/Code/PIDLibrary/)__ (click \"Libraries\" on the left panel. The link to the documentation is listed as \"PIDLibrary - Provides basic feedback control\".).\n", "\n", "```c++\n", "/********************************************************\n", " * PID Basic Example\n", " * Reading analog input 0 to control analog PWM output 3\n", " ********************************************************/\n", "\n", "#include \n", "\n", "#define PIN_INPUT 0\n", "#define PIN_OUTPUT 3\n", "\n", "//Define Variables we'll be connecting to\n", "double Setpoint, Input, Output;\n", "\n", "//Specify the links and initial tuning parameters\n", "double Kp=2, Ki=5, Kd=1;\n", "PID myPID(&Input, &Output, &Setpoint, Kp, Ki, Kd, DIRECT);\n", "\n", "void setup()\n", "{\n", " //initialize the variables we're linked to\n", " Input = analogRead(PIN_INPUT);\n", " Setpoint = 100;\n", "\n", " //turn the PID on\n", " myPID.SetMode(AUTOMATIC);\n", "}\n", "\n", "void loop()\n", "{\n", " Input = analogRead(PIN_INPUT);\n", " myPID.Compute();\n", " analogWrite(PIN_OUTPUT, Output);\n", "}\n", "```" ] }, { "cell_type": "markdown", "id": "5564d5f4", "metadata": {}, "source": [ "## PID com aeropendulum *simulado*\n", "Para implementar um código de exemplo para o aeropendulo foi utilizada a biblioteca `PID_RT`de __[Rob Tillaart](https://github.com/RobTillaart/PID_RT)__, também disponivel via biblioteca Arduino. O código está disponivel __[neste simulador online](https://wokwi.com/projects/412312875773779969)__ (adaptado de __[aqui](https://wokwi.com/projects/356437164264235009)__ e __[aqui](https://wokwi.com/projects/357374218559137793)__ ). \n", "\n", "\n", "```c++\n", "//\n", "// FILE: PID_simulation\n", "// AUTHOR: mn\n", "// PURPOSE: demo\n", "//\n", "// https://wokwi.com/projects/412312875773779969// \n", "// adapted from https://wokwi.com/projects/356437164264235009\n", "////\n", "// See also https://wokwi.com/projects/357374218559137793\n", "\n", "#include \"PID_RT.h\" // ALM / https://github.com/RobTillaart/PID_RT\n", "\n", "PID_RT PID; //instantiate controller object\n", "\n", "#define PWM 3 //PWM controller output\n", "#define INPUT_PIN1 A0 //manual setpoint (target angle 0-thetamax deg)\n", "#define INPUT_PIN2 A1 //manual sensor reading (measured angle 0-thetamax deg)\n", "#define INPUT_PIN3 A2 //manual PWM controller output (0-255)\n", "\n", "//plant (aeropendulum) start state\n", "float trueAngle=0.0; //deg //start angle\n", "float trueOmega=0.0; //deg/s start omega\n", "\n", "//controller maximum ratings\n", "float thetamax=20.0; //deg (controller input max)\n", "float pwmmax=255; // (controller output max)\n", "\n", "//controller setpoint\n", "float targetAngle=trueAngle;// //deg\n", "//float setPoint=targetAngle;\n", "\n", "//controller input (sensor reading)\n", "float measuredAngle=trueAngle; //deg\n", "//float input = measuredAngle;\n", "\n", "//controller output\n", "float pwm; \n", "//float output=pwm;\n", "\n", "void setup()\n", "{\n", " Serial.begin(115200);\n", " Serial.println(__FILE__);\n", " Serial.println(\"SetPoint(deg) Sensor(deg) PWM(0-255)\");\n", "\n", " pinMode(PWM, OUTPUT);\n", "\n", " //set up controller\n", " PID.setPoint(targetAngle);\n", " PID.setOutputRange(0, pwmmax); // PWM range\n", " PID.setInterval(100); //update time in ms\n", " PID.setK(10, 0, 0); //PID coefficients\n", " PID.start();\n", " }\n", "\n", "void loop(){\n", " //update setPoint\n", " targetAngle = thetamax*analogRead(A0)/1023; //pot A0\n", " \n", " //update controller\n", " controller();\n", "\n", " //update plant\n", " analogWrite(PWM, pwm); //real life\n", " //trueAngle = simPlant(); // simulate plant and angle\n", " trueAngle = thetamax*analogRead(A1)/1023; //regulated plant\n", "\n", " //measurement\n", " measuredAngle=readSensor();\n", "\n", " //show values\n", " show();\n", "\n", " delay(20); //throttle\n", "}\n", "\n", "void controller(){\n", " PID.setPoint(targetAngle);\n", " if(PID.compute(measuredAngle)){\n", " pwm = PID.getOutput();\n", " }\n", "}\n", "\n", "float simPlant(){ // simulate the aeropendulum\n", " float g = 9.81; //\n", " float m = 0.1 ; // \n", " float L = 0.5; //\n", " float pwm2lift_coefficient=0.5*(m*g)/L/m/pwmmax; //% of gravitational torque\n", " static float theta = trueAngle; //start angle (deg)\n", " static float lasttheta = theta; //deg\n", " static float omega = 0;\n", " static float lastomega = omega; //deg/s\n", " static uint32_t lastTime = 0;\n", " uint32_t dt = 100; // ms //update period\n", " if(millis() - lastTime >= dt){\n", " theta = lasttheta + lastomega*dt/1000;\n", " omega = lastomega + 180/3.14*(-g/L*sin(lasttheta*3.14/180)+ pwm2lift_coefficient*pwm)*dt/1000;\n", " lastTime += dt; //bookkeeping references\n", " lasttheta=theta;\n", " lastomega=omega;\n", " }\n", " return theta;\n", "}\n", "\n", "float readSensor(){\n", " return trueAngle; //change to real or virtual measurement\n", "}\n", "\n", "void show(void){\n", " static uint32_t last = 0;\n", " const int dt = 1000;\n", " if (millis() - last > dt){\n", " last += dt;\n", " //Serial.print(millis()/1000.0); \n", " Serial.print(PID.getSetPoint(),1);\n", " Serial.print(' '); \n", " Serial.print(measuredAngle,1);\n", " Serial.print(' '); \n", " Serial.println(byte(pwm));\n", " }\n", "}\n", "\n", "/*\n", "float driverModel(byte pwm, float Vmax){\n", " //attention: 3.7 or 5.0 V !?\n", " //maximum current?\n", " return Vmax*pwm/255; //outputs dc voltage\n", "}\n", "\n", "float motorModel(float Vdc, float Vmax){\n", " return Vdc*rpm/Vmax;//outputs rpm\n", "}\n", "\n", "float lift(){\n", " return 0.0;\n", "}\n", "*/\n", "\n", "// -- END OF FILE --\n", "```\n", "\n", "O código encontra disponivel no seguinte simulador online:\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "4f04650b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import IFrame\n", "IFrame(width=\"560\", height=\"315\", src=\"https://wokwi.com/projects/412312875773779969\")\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.3" } }, "nbformat": 4, "nbformat_minor": 5 }