| Subject 1. Introduction to industrial automation and elements of automation. |
1.1. Introduction to the automation of tasks and industrial processes.
1.1.1. Automation of industrial processes.
1.1.2 Programmable logic controller or PLC.
1.1.3 Elements of the programmable logic controllers. Inputs, outputs and memory.
1.1.4 Operational cycle of an automated system. The cycle time.
1.2 Properties of programmable logic controllers.
1.2.1. Logical and arithmetical operators.
1.2.2 Operators for assignment (with and without memory).
1.2.3 Combinations of binary variables.
1.2.3 Timers and counters.
1.3 Languages and programming techniques for programmable logic controllers.
1.3.1. Forms of representation of a program (FBD, AWL, ST, Grafcet, LADDER).
1.3.2 Linear and structured programming.
1.3.3 Introduction to contacts logic (LADDER).
1.3.4 Introduction to the modular structured programming in LADDER. |
| Subject 2. Tools for modeling sequential systems. |
2.1 Introduction to the modelling of dynamic systems of discreet events.
2.1.1. Modelling by means of grafos of states and tables. The dimensional problem.
2.1.2 Petri net modeling. Distributed process description.
2.1.3 Main elements and properties of Petri Nets. Rules of evolution.
2.1.4 Logic and representation associated with Petri Nets. Selection and distribution.
2.2 Modeling distributed processes using Petri nets.
2.2.1. Process and cycle representation. The repetition of a simple process.
2.2.2 The use of timers. Time-controlled activations.
2.2.3 The use of counters. Event counting and process cycle counting.
2.2.3 The application of inhibitor arcs.
2.2.5. The use of simultaneous sequences. The synchronization of concurrent processes.
2.2.6. Process mutual exclusion. Managing shared resources.
2.2.7. Cooperative systems. Multi-task coordination.
2.3 Programming Petri Nets in a structured, modular manner using LADDER.
2.3.1. The modular structure of programming.
2.3.2. Developing the module for defining variables and initializing them.
2.3.3. Implementation of the transition evaluation module.
2.3.4. Integration of timers and counters into the transitions module.
2.3.5. Development of a module for activating places.
2.3.6. Development of the module for activating outputs. |
| Subject 3. Modeling, simulation, and representation of continuous dynamic systems.. |
3.1 Introduction to dynamic systems models.
3.1.1. Linear and nonlinear models.
3.1.2 Continuous and discrete models.
3.1.3 State variable modeling.
3.1.4 Concept of stability.
3.2 Dynamic linear systems.
3.2.1. Characterization and fundamental characteristics.
3.2.2 The state variables.
3.2.3 The transfer function. Laplace transforms and their properties.
3.2.4 Diagrams of block diagrams of transfer functions. The basic operations.
3.2.5 Transfer functions in feedback loops.
3.3 Physical system modeling.
3.3.1. Mechanical systems.
3.3.2. Electrical systems.
3.3.3. Hydraulic, chemical, and pneumatic systems.
3.3.4. Sociological and biological systems. |
| Subject 4. Analysis of continuous dynamic systems. |
4.1 An introduction to the analysis of continuous dynamic systems.
4.1.1. Stationary and transitory regimes.
4.1.2. Different types of signals (impulse, step, ramp) and their Laplace transforms.
4.1.3. The poles and zeros of the transfer function. Laplace plane properties.
4.1.4. Frequency properties of linear continuous systems.
4.2 Characterization of the response in the time domain.
4.2.1. Time-related specifications.
4.2.2. First order systems. Stability, transfer function, and temporal response.
4.2.3. Second order systems. Stability, transfer function, and temporal response.
4.2.4. The description and analysis of error in permanent regimes.
The frequency domain analysis of the response.
4.3.1. Frequency-domain specifications. The Bode plot.
4.3.2. Properties of first order systems with respect to frequency.
4.3.3. Properties of second order systems with respect to frequency. |
