ECEN 420 LINEAR CONTROL SYSTEMS. Instructor: S. P. Bhattacharyya* (Dr. B.) 1/18
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1 ECEN 420 LINEAR CONTROL SYSTEMS Instructor: S. P. Bhattacharyya* (Dr. B.) 1/18
2 Course information Course Duration: 14 weeks Divided into 7 units, each of two weeks duration, 5 lectures, 1 test Each unit ends with a test on every other Friday From the total of 7 test grades, the best 5 grades are chosen to determine the final grade The reading and problem assignments for each unit are listed in the syllabus. However no homework problems need to be turned in. * Dr. B s contact: Rm 244C WERC. spb@tamu.edu. Tel: Office hours: M W F, 3-4 pm. 2/18
3 3/18 ECEN 420 LINEAR CONTROL SYSTEMS Lecture 1
4 What is Control Engineering or Control Science? Control Engineering is the Science and Art of making a system behave in a prescribed* manner despite the presence of significant uncertainties. *(desired) 4/18
5 What are some common examples of control systems? Temperature Control in a house or building, Aircraft or Ship Steering, Automobile and Train Control, Cruise Control, Satellite Tracking with Antennas, Motor Speed Control, Temperature, Pressure and Flow Control in Petrochemical Processes, Nuclear Reactor Control, Voltage Regulator. 5/18
6 A Short History of Control 1764 Watt s Governor for speed control of steam locomotives by negative feedback James Watt ( ) 6/18
7 1860 On Governors Maxwell developed a third order dynamic model. The characteristic roots were functions of (m, l, k) the design parameters. Oscillations corresponded to the prosimity of the characteristic roots to the jω axis, as in resonant systems such as oscillators and bridges. James Clerk Maxwell ( ) 7/18
8 1877 Routh criterion developed a method of counting root distribution of a polynomial with respect to the left and right half planes, without calculating the roots. Wins Adams Prize. Edward John Routh ( ) 8/18
9 1892 Lyapunov s Ph.D thesis develops criteria for the stability analysis of nonlinear systems. Aleksandr Mikhailovich Lyapunov ( ) 9/18
10 Wright Brother s flight research Orville Wright ( ) Wilbur Wright ( ) 10/18
11 1926 H. S. Black invents the feedback amplifier to provide accurate gains using unreliable components. These forms the basis of operational amplifiers and integrated circuits, fundamental to modern control, communication and signal ( audio and video ) processing systems. Black s Amplifier. Harold Stephen Black (April 14, 1898 December 11, 1983) 11/18
12 1932 H. Nyquist develops a criterion to predict closed loop system stability based on measurements of the open loop frequency response of the system. Nyquist Criterion. Harry Nyquist (February 7, 1889 April 4, 1976) 12/18
13 H. W. Bode, building on the work of Nyquist, develops frequency response methods for designing control and feedback systems using logarithmic plots. Hendrik Wade Bode (December 24, 1905 June 21, 1982) 13/18
14 Servomechanism theory is researched and developed to a high level to meed the demands of World War II. MIT Radiation Labs, Norbert Wiener, H.W. Bode, W.R. Evans N. Nichols and others drive the effort. Norbert Wiener (November 26, 1894 March 18, 1964) 14/18
15 Richard Bellman invents dynamic programming. L.S. Pontryagin develops the Maximum Principle. Richard E. Bellman (August 26, 1920 March 19, 1984) Lev Pontryagin (September 3, 1908 May 3, 1988 ) 15/18
16 1957 Soviet Union launches the Sputnik Kalman introduces quadratic optimization and state space methods. Space race is on. U.S. decides to send a man to the moon. Design of automatic pilots (autopilots.) Man lands on Moon July 24th Rudolf Emil Kalman (May 19, 1930 ) 16/18
17 1960 s Tremendous progress in computer technology drives control and communication s Researchers find that the Linear Quadratic Optimal Systems can have very small stability margins s Research on Robust Control intensifies. H optimal control is introduced. Proofs of the stability of Adaptive Control Systems are presented. Kharitonov s Theorem and its extensions are developed. 17/18
18 1990 s UAV s, disk drives, GPS, Machine Learning Control, Robotics. Fragility of Optimal, High Order Systems s Genomic Signal Processing, Cancer treatment as a Control Problem, Gene manipulation and control, Nano systems and control, Atomic Force Microscopy. Developments in PID Control s Control of UAV s, drones and driverless cars. Control of Smart Grids. Robotic surgery. Systems Biology. Flocking, Formation, Consensus Control of Multi Agent Systems. 18/18
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