Due to the continuous improvement of industrial production requirements and green manufacturing demand, manufacturing enterprises and factories need to constantly optimize and improve the system structure. Based on the actual problems in the actual coal blending process, this paper analyzes the reason of the coal blending error in coal blending process and the optimization scheme of intelligent control of coal blending process. We optimized the overall structure of the coal blending system, improved the coal blending system which use the fuzzy control system. At the same time, we used MATLAB to simulate and analyse the simulation results. This paper gives an illustration to the optimal structure and system of the coal blending system, effectively improves the accuracy and stability of the coal blending process control system, reduces the coal blending error and improves the quality of coal blending in general.
In-depth research on the rehabilitation mechanism and motion characteristics of a rehabilitation training robot based on 4-UPUS parallel mechanism. The overall design and the working principle of each key component are explained, and the robot rehabilitation scheme is described. The static analysis and modal analysis of the robot bearing structure are carried out to verify whether the static mechanical characteristics of the mechanism meet the application requirements under working conditions.A simplified mathematical model of the six-bar linkage mechanism is established, and the kinematics of the mechanism is solved by the geometric analysis method. The motion characteristic diagram of each key point is obtained through simulation calculation. Establish the motion model of the parallel mechanism, and discuss the working space and motion performance analysis of the mechanism. The forward solution analysis of the mechanism position is carried out by using the numerical analysis method, and the three-dimensional graphics of the attitude angle and linear displacement of the reachable working space are obtained.Taking the UPUS single branch chain as the analysis object, the single open chain analysis method is used to solve the kinematics image of the corresponding surface in the working space of the mechanism, which verifies the correctness of the kinematics theoretical solution and the feasibility of simulation.The research results show that the 4-UPUS parallel mechanism rehabilitation training robot can cooperate with the ankle joint for rehabilitation training. It makes up for the single movement of the current lower limb rehabilitation robot and the unsatisfactory rehabilitation effect, and provides a reference for the practical application of the subsequent ankle joint rehabilitation robot system.
DC bias of transformer will lead to large distortion of excitation current. For the high voltage shore power supply with fundamental frequency isolated output, its output characteristics are greatly affected by the DC bias of the transformer, so the DC component of the high-high cascade H-bridge inverter current must be eliminated in the design of control strategy. Firstly, the main circuit topology of high voltage shore power supply is given, and the DC bias phenomenon of transformer is analyzed. Then, a DC bias suppression method of high voltage shore power supply is proposed. The positive feedback of DC component is introduced to affect the output voltage of the converter chain of shore power supply. By adjusting the PWM pulse width in real time, the DC voltage component is used to compensate the DC current, which fundamentally realizes the compensation and suppression of DC bias. Finally, the test platform of high voltage shore power supply is built, and the experimental results show that the proposed control strategy is correct and effective.
1 January 2018 in International Journal of Wireless and Mobile Computing