(电气工程和 与自动化专业英语)Chapter 13 Adaptive Control and Predictive Control.pptVIP

13.7 Single-Loop(MFA) System Structure * The system structure of a single-input-single-output (SISO) MFA control system is shown in Figure 13.3. Figure 13.3: Single-Loop MFA Control System with the Signals The structure is as simple as a traditional single-loop control system :a SISO process, a SISO MFA controller, a feedback loop. 13.8 Control objective * Explaination: The control objective for the controller is to produce an output u(t) to force the process variable y(t) to track the given trajectory of its set point r(t) under variations of set point, disturbances, and process dynamics. In other words, the task of the MFA controller is to minimize the error e(t) in an online fashion. Compared to Figure 13.2, the MFA system does not have a process model or identifier. Thus, no model error (t) needs to be minimized and only the error e(t) between the set point (r(t) or SP) and process variable (y(t) or PV) needs to be minimized. 13.9 MFA Controller Architecture Text A: Model-Free Adaptive (MFA) Control 9 13.10 MFA Control System Requirements 13.11 MFA vs PID Control Comparison * 10 Outline 11 13.12 Comparison of MFA and PID 12 13 13.13 MFA vs Other Control Methods Chapter 13: Adaptive Control and Predictive Control Adaptive Control and Predictive Control * Before introduction to the advanced control design techniques, we present a brief overview of control techniques and paradigms： The 1950s gave rise to the state-space formulation of differential equations The method of dynamic programming was developed by Bellman (1957) The maximum principle was discussed by Pontryagin (1962). Adaptive Control and Predictive Control * Kalman demonstrated that when the system dynamic equations are linear and the performance criterion is quadratic (LQ control) Produced linear-quadratic-Gaussian (LQG) control. the concept of the H- norm and -synthesis theory. Artificial Neural Network for control and Fuzzy Control are the typica