For wheeled robot motion control, brushless DC motor speed control system of wheeled mobile robot parameters time-varying, nonlinear, uncertainties and other factors, with the traditional PID control algorithm is difficult to meet the control requirements this article combination of traditional PID control technology and fuzzy control technology, is designed based on the parameters of fuzzy self-tuning PID DC motor control. This article describes the principles and design steps of fuzzy self-tuning PID Matlab simulation of the control program, the results show that the controller has achieved a good speed and stability.

The wheeled robot with non-integrity constraints is a typical nonlinear system, in order to achieve the ideal path tracing, presented a theory based on fuzzy neural network control. Centralized compensation system based on neural network uncertainty can be arbitrary-precision approximation of continuous nonlinear functions as well as the complex uncertainties with adaptive and learning ability. By MATLAB simulation showed that the control method to ensure fast convergence and error robustness of parameter uncertainties and external disturbance.

In this paper, a distributed control isproposed to consider the stabilization of a wave equation. First, we transfer the distributed control problem into a boundary control problem via introducing a simple transformation including a new control function. Second, combining with the stabilization controller of the intermediate boundary control system and hidden regularity of the wave equation, we obtain the distributed feedback control of the original wave system. Third, we prove the exponential stability of the closed‐loop wave system. Then, we point out that the presented procedure for the wave system is also valid for the stabilization of the heat equation with a distributed control considered by Tsubakino et al. (2012). Finally, a numerical result is given, which shows the validity of the distributed feedback controller for the wave system designed by backstepping method.

Establishing voice coil linear motor control system model on the basis of structural analysis, and conducting firstly Matlab/Simulink simulation supported by B&R Automation Studio integrated development environment, and then automatically generating C code and downloading to the B&R PCC to run, thereby quickly completing the design of voice coil linear motor control system and ensuring control system key performance indicators to meet the requirements.

Wheeled robot walk because of its simple structure,continuous advantages of smooth, fast and easy to control, is often used as special robot, but wheeled robot at run time, facing one of the major issues is how to avoid obstacles, increase system reliability. Introduction of fuzzy control algorithm in this article, by rational design of fuzzy rules, plan routes, to achieve effective avoidance, collision of the simulation results show that the fuzzy control can be effective, improves the reliability of robots running.