원문정보
초록
영어
The paper aims to solve the problem that the nonlinear model of control system being hard to fetch parsing and impossible to be completely accurately described by mathematical model, and thus adopting adaptive predictive control algorithm for its capability of on-line identifying the variation characteristics of uncertain parameters. At the beginning, we analyze the advantages and disadvantages of many kinds of adaptive control method. Then the characteristics of cascade control system are put forward. According to the principle, we study adaptation prediction open-loop control by simulation. Later, taken interference’s effect on main variable into account, we design adaptive prediction closed loop scheme to improve the system’s adaptive capacity at the time the load changing, and then identify a cascade control program whose inner loop is PID controller and outer loop is self-adaptation predictive controller. At last, we analyze the simulation results and make a conclusion that closed loop self-adaptation predictive control improves stability and dynamic property when the system is under interference.
목차
1. Introduction
2. Adaptive Algorithms
3. Cascade Control System
3.1 The Conceptual Framework of Cascade Control System
3.2 Principle of Cascade Control System
3.3 Characteristics of Cascade Control System
3.4 The Design of Main Controller and Sub-controller in Cascade Control
4. Simulation Study on Self-adaptation Prediction Algorithm
4.1 The Mathematic Model of Non-linear Object's Characteristics
4.2 Open-loop Control Of Self-Adaptation Prediction Algorithmic
4.3 The Closed Control of Self-adaptation Prediction Algorithmic
5. Conclusion
Acknowledgement
References