tailieunhanh - Analysis and Control of Linear Systems - Chapter 13

Chapter 13 Methodology of the State Approach Control Thiết kế các "lái tự động" của một quá trình đa biến, có thể là gần như tuyến tính, đại diện cho một điều tinh tế. Nếu các công cụ lý thuyết và thuật toán liên quan đến việc phân tích và kiểm soát các hệ thống đa biến tuyến tính có phần lớn tiến triển trong 40 năm qua, thiết kế một đạo luật kiểm soát để cho các chuyên gia. Các kỹ sư tốt nhất vẫn có những khó khăn trong việc áp dụng kiến thức của mình có liên quan để. | Chapter 13 Methodology of the State Approach Control Designing the autopilot of a multivariable process be it quasi-linear represents a delicate thing. If the theoretical and algorithmic tools concerning the analysis and control of multivariable linear systems have largely progressed during the last 40 years designing a control law is left to the specialist. The best engineer still has difficulties in applying his knowledge related to multivariable control acquired during his automation course. It is not a mater here to question the interest and importance of automation in the curriculum of an engineer but to stress the importance of methodology . The teaching of a control methodology coherently reuniting the various fundamental automation concepts is the sine qua non condition of a fertile transfer of knowledge from laboratories toward industry. The methodological challenge has been underestimated for a long time. How else can we explain the little research effort in this field It is however important to underline among others and in France the efforts of de Larminat LAR 93 Bourlès BOU 92 Duke DUC 99 Bergeon PRE 95 or Magni MAG 87 pertaining to multivariable control methodology. This chapter deals with a state-based control methodology which is largely inspired by the standard state control suggested by de Larminat LAR 00 . Chapter written by Philippe CHEVREL. 400 Analysis and Control of Linear Systems . Introduction Controlling a process means using the methods available for it in order to adjust its behavior to what is needed. The control applied in time uses information provided by the sensors concerning the state of the process to react to any unforeseen evolution. Designing even a little sophisticated control law requires the data of a behavior model of the process but also relevant information on its environment. Which types of disturbances are likely to move the trajectory of the process away from the desired trajectory and which is the information .