Applicazioni di automazione industriale
Simulink® consente ai produttori di apparecchiature industriali di creare specifiche eseguibili sotto forma di modelli che forniscono una chiara direzione di progettazione a gruppi di ingegneri diversi. Questi modelli di esempio illustrano le applicazioni di automazione industriale.
Esempi in primo piano
Model and Control Robot Dynamics to Automate Virtual Assembly Line
Extends the Smart4i virtual commissioning applications to accommodate robot dynamics in the system framework to automate assembly line operation. This example models and controls the dynamics of robots in the assembly line, which helps develop a more realistic simulation environment. The virtual assembly line consists of four components: two robotic workcells, connected by a shuttle track and a conveyor belt. The first robot, Robot 1, is a Comau Racer V3 and places cups onto the shuttle. The second robot, Robot 2, is a Mitsubishi RV-4F and places balls in the cups. The shuttle track system consists of four shuttles which continuously move to Robot 1, then to Robot 2, followed by a slider. A slider then delivers those cups containing balls to a container. For a detailed system overview, see Automate Virtual Assembly Line with Two Robotic Workcells (Robotics System Toolbox).
- Da R2024a
- Apri live script
Controllo anti-windup utilizzando il blocco PID Controller
Questo esempio mostra come utilizzare gli schemi anti-windup per prevenire il wind-up dell'integrazione nei PID controller quando gli attuatori sono saturi. Il blocco PID Controller in Simulink® dispone di due metodi anti-windup integrati back-calculation
e clamping
, nonché di una modalità di tracking per gestire scenari industriali più complessi. Il blocco PID Controller supporta diverse feature che consentono di gestire i problemi di windup del controller che si verificano negli scenari industriali più comuni.
Bumpless Control Transfer Between Manual and PID Control
Achieve bumpless control transfer when switching from manual control to proportional integral derivative (PID) control. The model uses the PID Controller block in Simulink® to control a first-order process with dead-time.
Two Degree-of-Freedom PID Control for Setpoint Tracking
Regulate the speed of an electric motor using two degree-of-freedom PID control with set-point weighting. This model uses the PID Controller (2DOF) block. The model changes the setpoint values between 60 and 30 rpm. To convert the units to rad/s for use in the PID controller, the model uses a Signal Conversion block.
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