| At present,there are many types of plastering machines on the market,but there are also many problems.Therefore according to market analysis and functional requirements,this paper designs a new removable automatic plastering machine.The supporting device,screw and polished rod are all detachable and splicing.It is easy to carry and can adapt to various sizes of wall to be worked.The work unit integrates the functions of plastering and vibratory compaction,and is designed with a reversing device that allows the working device to rotate,which is used to convert between plastering and vibratory compaction.The newly designed plastering machine works differently and in different ways than traditional plastering machines,and is lightweight and more convenient.The reversing device and the main transmission in the plastering machine are both dual motor control modes.For the dual motor in the reversing device,a dual motor synchronous control system is designed from both hardware and software,and then a reasonable fuzzy is designed.The PID controller is applied to it.The response curves of conventional PID control and fuzzy PID are obtained by SIMULINK simulation.The parameters of different response curves are compared and analyzed,which shows that the fuzzy PID control is more effective for the motor synchronous control system of the plasterer.By designing the motor synchronous control system of the commutating device in the simulated plastering machine,the fuzzy PID control algorithm is applied to the experimental platform of the control system,and the experimental data is obtained by a new experimental method.Contrasting and analyzing different motion trajectories without algorithm,conventional PID algorithm and fuzzy PID algorithm,establishing coordinate random points and simulating in MATLAB,the experimental results can be more clear,The experimental results show that the fuzzy PID algorithm has better control effect than the conventional PID algorithm in the multi-motor synchronous control system.The rationality and accuracy of the simulation model and simulation results of the controller designed on the basis of fuzzy PID control theory are also verified. |