101411 - CONTROL AND SIMULATION OF INDUSTRIAL PROCESSES

Subject type: Mandatory

Coordinator: Joan Triadó Aymerich

Trimester: First term

Credits: 6

• Catalan

The language of the teacher's usual use is Catalan. However, English and Spanish can be used by teachers and students without any restrictions, in accordance with Tecnocampus regulations.  

It complements what has been seen so far, in terms of the analysis and design of control systems, introducing State Variable models and the design of control systems for these models. It also deals with the design case of some new types of controllers and also studies some control structures that had not been specifically treated in the previous subjects.

We are working on Simulation applied to models of mainly nonlinear systems, as the first major line of work. Two types of digital simulation will be seen: Dynamic Systems Simulation and Discrete Event Systems Oriented.

It is recommended to have completed the Digital Control of Systems subject. 

Topic 1: Models and controllers in State Variable

Modeling. Euler-Lagrange method. 

State equations. Solution to the equations of state. Closed loop. Control for Status Return and Dust Allocation.

Observers. Return Control + Observer.

Augmented systems. Incorporation of an integrator. Control by state return with and without observer for systems with integrator.

Case of discrete systems. Different types of observers for discrete systems. Implementation of the previous controllers for the case of discrete systems

Topic 2: Design of nonlinear controllers: Diffuse Control.

Fuzzy Logic. Membership functions. Linguistic variables. Diffuse production rules. Methods of Fuzzyfication and Defuzzufication. Applications for fuzzy controller design. Using Matlab.

Topic 3: Control Structures. Tools for analysis and design of nonlinear systems.

Control Structures. Cascade control. FeedForward control. Control Ratio. Split Range Control. 

Topic 4: Simulation of Continuous Processes

Systems Models, Simulation, Simulation Project, Types of Simulators. Digital simulators. Integration methods. Use of simulation environments for the design of control systems.

Topic 5: Simulation of Discrete Event Systems.

General characteristics of a model oriented to Discrete Events. Use of random variables. Task and Queue Systems. Indicators of the performance of a discrete event system. Use of Discrete Event Systems.

Contribution of the evaluable activities:

Final Grade = 0.65 Grade Exams + 0.25 Grade Practices + 0.1 Grade Exercises.

Grade Exams = Max( 0.4 First Exam + 0.6 Second Exam, Second Exam).

The First Exam comprises topics 1, 2, and 3

The Second Exam includes all the subjects of the subject: 1,2, 3, 4 and 5

The grade of the Second Exam must be equal to or higher than 4 to be able to make this average, otherwise the Final Grade will only be that of the Second Exam.

The internship grade must exceed 4; if it does not do it the note of practices happens to be the final note of all the asignatura. 

The recovery will be made of the part of exams; in fact it will be a recovery for the second exam. A weighted average will be made with the rest of the grades. 

It will also be possible to recover those undelivered practices. Payments cannot be recovered, even if they are suspended. Nor will it be possible to improve the grade of the approved practices. 

The final mark of the subject, after the recovery, is not limited to any maximum value. 

Francisco Vazquez (2010), Introduction to modeling and simulation with ecosimpro. PEARSON. ISBN-10: 8483226812, ISBN-13: 978-848322681

Kelton, Sadowski and Sturrock (2007), Simulation with Arena, McGraw-Hill International Edition. ISBN-13: 978-0-07-110685-6. ISBN-10: 0-07-110685-5. 

Franklin, Gene F. / Powell, J. David / Emami-Naein, Abbas (2010). Feedback control of dynamic systems. 6th. Pearson. ISBN 9780136019695. 

Franklin, Gene F. / Powell, J. David / Workman, Michael L. (1992) Digital control of dynamic systems. 2nd ED. Addison-Wesley. ISBN 0201119382. 

Guasch A., Piera MA, Casanovas J., Figueras J. (2003), Modeling and simulation: application to logistic processes of manufacturing and services, Edicions UPC. ISBN: 8483017040

Cellier, François E. (1991) .. Continuous System Modeling. Springer-Verlag, ISBN 0387975020.¿