Introduction to Identification of Control Systems

The textbook "Identification of Control Systems" is intended for students majoring in "Information Technologies in the Development of Aircraft Engines."

The discipline "Identification of Control Systems" belongs to the variable part of the professional disciplines cycle and is mandatory for completing the core educational program of higher professional education (OEP HPE).

The development of aircraft engine building is associated with the further complication of power plants for aircraft of various classes. Modern aircraft engines are characterized by a wide range of variation in operating modes and flight conditions, an increasing number of controlled parameters and control elements, and a high probability of abnormal operating modes occurring. This leads to more complex control programs and algorithms and stricter requirements for control systems, which must ensure not only high-quality control across a wide range of changing flight conditions and operating modes, but also the prediction and management of the power plant in critical situations. Further improvement of design methods for highly efficient control systems for aircraft power plants is impossible without developing reliable models both of the engine itself and of its control systems.

The development of mathematical models is impossible without the application of modern methods—identification methods. Moreover, the identification approach to building mathematical models expands the scope of application of these models, specifically for tuning hydraulic units and for diagnosing aircraft engine control systems (AECS) during operation.

The goal of studying the discipline "Identification of Control Systems" is to develop skills in using techniques and hardware/software tools for modeling, identification, and technical diagnostics of dynamic control systems.

The subject matter of the discipline includes:

• •the basic principles of creating modern automatic control systems;
• •mathematical methods for describing automatic control systems;
• •the main approaches to solving the identification problem;
• •the main approaches to solving the structural identification problem;
• •the main methods of parametric identification;
• •methods for assessing the adequacy of computational models relative to the original objects;
• •the main methods for simultaneous estimation of parameters and state;
• •methods of applying identification techniques in adaptive systems.

The workload of the discipline is 108 hours, of which 14 hours are lectures and 12 hours are practical sessions. The primary form of study for this discipline is independent work. Accordingly, this textbook presents all sections of "Identification of Control Systems," including materials for self-study,

as well as questions and assignments for self-assessment.

The theoretical material presented in the textbook is reinforced through practical assignments and individual tasks covering various types of independent student work.

In the course of mastering this discipline, the following professional specialized competencies (PSC) are formed:

• •the ability to use modern information technologies in developing designs for aircraft engine control systems;
• •readiness to apply modern hardware and software for designing aircraft engine control systems.

As a result of mastering the discipline, the student must demonstrate the following outcomes:

Know:

• •the basic operating principles, static and dynamic characteristics of AECS;
• •the specifics of applying identification methods when designing AECS;
• •the basic principles and methods of structural and parametric identification, and the main approaches to joint estimation of parameters and states;
• •experiment planning methods, methods for assessing model adequacy;
• •applied identification software;
• •software tools for modeling AECS: MatLab, LabView, applied software tools, and experiment planning packages.

Be able to:

• •provide a formal description of the operation process of AECS and the processes occurring within them;
• •systematize information about the state of an object or control system, and identify the key/significant parameters of objects and control systems;
• •select the best identification method and model;
• •use identification methods for control objects when designing AECS;
• •plan experiments and assess model adequacy;
• •make an optimal choice of software tools for identifying and modeling AECS.

Master:

• •skills in setting up experiments;
• •methods for assessing the adequacy of identification models;
• •methods for formalizing AECS within the framework of the identification problem;
• •methods of structural and parametric identification;
• •experience applying identification methods when designing AECS;
• •standard software tools used in AECS identification.

The structure of the textbook is organized on a modular principle. Each section of the textbook corresponds to a module of the discipline.

Examples, review questions, and assignments are provided, allowing students to independently assess their level of mastery of the theoretical material, prepare for practical sessions, and complete individual assignments as part of their independent work in the discipline.