Research of control algorithm of medical balance bed

Abstract

The system of medical balance bed is the research project of combining of the dynamics theory and the automatic control theory and technology. The control system of the balance bed is a complex, unstable, nonlinear system. To achieve balance of the bed, well-designed control system is particularly important. Presently, there are many different types of control methods, but the system of medical balance bed needs to control balance automatically and law regulating the parameters of the system in real-time, and to adapt to the impact of environmental changes, parameters change of the system itself and external interference, etc, so that the whole system can run in the best condition. Based on comparison and analysis of several typical control algorithms, this paper puts forward a neural network adaptive PID control algorithm. It can not only suppress the external disturbance, and adapt to the impact of environmental changes and parameter changes of the system itself, to some extent, but also can effectively eliminate the modeling error and other factors. This paper discusses the neural network adaptive PID control algorithm, and simulates using MATLAB to prove that the neural network adaptive PID control algorithm is better than PID control algorithm.