LINEAR CONTROL SYSTEMS

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Presentation transcript:

LINEAR CONTROL SYSTEMS Ali Karimpour Associate Professor Ferdowsi University of Mashhad <<<1.1>>> ###Control System Design### {{{Control, Design}}}

Lecture 2 Modeling of Control Systems Topics to be covered include: An industrial example Modeling of systems Systems with time delay.

Example 1: An industrial plant مثال 1: يک سيستم صنعتی The example, taken from the steel industry, is of a particular nature, however the principal elements of specifying a desired behaviour, modeling and the necessity for trade-off decisions are generic.

Process schematic of a steel industry نمای شماتيک صنعت فولاد قيف دهانه مايع مايع خنک کننده پوسته جامد نورد نورد نگهدارنده مايع خنک کننده ثانويه

Process schematic of a steel industry (continue) قيف حاوی مواد مذاب شير کنترل خنک سازی اوليه قالب گيری يک نمونه شمش

The cast strip in the secondary cooling chamber نوار ريخته گری در دومين بخش خنک سازی

Performance specifications مشخصه های عملکردی The key performance goals for this problem are: Safety: Clearly, the mould level must never be in danger of overflowing or emptying as either case would result in molten metal spilling with disastrous consequences. Profitability: Aspects which contribute to this requirement include: Product quality Maintenance Throughput

Definition of the control problem Abstracting from the above particular problem, we can introduce: Definition 2.1: The central problem in control is to find a technically feasible way to act on a given process so that the process behaves, as closely as possible, to some desired behaviour. Furthermore, this approximate behaviour should be achieved in the face of uncertainty of the process and in the presence of uncontrollable external disturbances acting on the process. <<<2.4>>>

Models Model: Relationship among observed signals. 1- Mental models Model types 2- Graphical models 3- Mathematical (analytical) models 4- Software models Split up system into subsystems, Joined subsystems mathematically, 1- Modeling Building models Does not necessarily involve any experimentation on the actual system. It is directly based on experimentation. 2- System identification Input and output signals from the system are recorded. 3- Combined

Modeling مدلسازی commanded level of steel in mould actual level of steel in mould valve position casting speed inflow of matter into the mould outflow of matter from the mould

Modelling a simple tank مدلسازی يک منبع ساده Tundish Valve Molten Steel Mould Level Cooling Water قيف شير آب خنک کننده سطح قالب گيری

Simplified block diagram for modeling بلوک دياگرام ساده شده برای مدلسازی Block diagram of the simplified mould level dynamics, sensors and actuators سطح قالب گيری خروجی با توجه به سرعت ريخته گری ورودی با توجه به شير کنترل سطح قالب گيری اندازه گيری شده نويز اندازه گيری

Level of compromise سطح مصالحه We may ask if these trade-offs are unavoidable or whether we could improve on the situation by such measures as: better modelling more sophisticated control system design (Aside: Actually the trade-off is fundamental as we shall see presently).

Example 2: Dynamics of a mechanical system مثال 2: ديناميک يک سيستم مکانيکی خروجی ورودی

A simplified aeroplane يک هواپيمای ساده شده Position control system

A simplified aeroplane يک هواپيمای ساده شده

Example 3:Dynamics of a electromechanical system مثال 3: ديناميک يک سيستم الکترومکانيکی Position control system

Example 3: Continue مثال 3: ادامه خروجی ورودی

Example 4: Dynamics of a liquid level system مثال 4: ديناميک يک سيستم سطح مايعات ورودی خروجی کنترلی مایع خروجی

Example 5: A system with pure time delay مثال 5: سيستمی با تاخير ثابت سيگنال ورودی جريان هوا سنسوردما دمای سنجش شده زمان تاخیر

Example 5: A system with pure time delay مثال 5: سيستمی با تاخير ثابت

2-1 Derive the output of example 2 excited by following input u=sint Exercises 2-1 Derive the output of example 2 excited by following input u=sint 2-2 Repeat example 3, but neglect the inductance of the motor. 2-3 Repeat example 3, but consider the motor as a series motor.

Exercises (Continue) Final answer is: 2-4 Find the mathematical model of the following system. Final answer is:

Exercises (Continue) 2-5 In a control system of an industrial composition process , it is very important to control the chemical composition of the output. There is an infrared analyzer for measurement and the valve of additive stream is controllable. Complete the feedback loop and find the block diagram of the process.

Exercises (Continue) 2-6 The figure shows a system for extracting water for irrigation by use of solar energy. Draw the block diagram of the system operation.