Fuzzy Self-tuning PID Control Algorithm Research Articles

Fuzzy self-tuning PID control algorithm for belt conveyor driven by multi-motor

Aiming at the problems of low efficiency when long distance and high-inclination belt conveyor driven by multi-motor is in light or idle run as well as electrical power unbalance. Control strategy for belt conveyor driven by four-motor via fuzzy self-tuning PID control algorithm was proposed. The Speed setting algorithm of belt conveyor and fuzzy self-tuning PID algorithm for speed control and power balance control are introduced. The application shows that, according to the coal flow changes of the belt conveyor in real-time, the speed can be automatically adjusted through this algorithm, making the power of the four motors convergence both speed control error and the power control error of which are lower than 2.6%.

Fuzzy Self-tuning PID Control Algorithm for Belt Conveyor Driven by Multi-motor

Fuzzy Self-tuning PID Control Algorithm for Belt Conveyor Driven by Multi-motor

Research and Design of Quantitative Casting Control System for Lead Anode Plate

In this paper, taking the quantitative casting system for lead anode plate as the object of study, develop a control system based on the fieldbus and fuzzy control. Introduce the process and control principle of the lead anode plate casting, and establish the quantitative pouring control system from two aspects as the designs of hardware and software equipment.The system adopts the PROFIBUS-DP fieldbus technology and uses SIMATIC PLC as the master station to structure the casting control system. It describes the realization and simulation of the fuzzy self-tuning PID control algorithm in quantitative casting system.The simulation results show: Fuzzy - PI control scheme has a better control effectiveness than the traditional PID control system,for a smaller control response curve overshoot and error, a shorter response time and restraining the outside interference to the system and the instability of casting flow.

Research on Automatic Digging Control and Algorithm of the Working Device of Skid Steer Loader

Focus on the trajectory planning problem of shovel operations of skid steer loader, a trajectory curve fitting equation is established. By use of the robotics theory and the D-H method, the functional relationship between the kinematics of the working device of skid steer loader and the displacement, position and orientation of boom bucket cylinder is derived, and the driving equation of displacement cylinder is obtained. Based on the requirements of precise trajectory control, an electro-hydraulic proportional position control system for position and orientation control is designed and the state equation of the system is established. By using fuzzy self-tuning PID control algorithm, the outside interference, parameter uncertainty and the error caused by other factors are weakened. The trajectory tracking simulation results demonstrate that: the biggest shovel tracking error is 12.5mm, the designed electro-hydraulic proportional control system can effectively track the trajectory of the working device of skid steer loader in automatic digging process. The rightness of the established model and the effectiveness of the corresponding controller are also proved.

Fuzzy self-tuning PID control of the operation temperatures in a two-staged membrane separation process

A two-staged membrane separation process for hydrogen recovery from refinery gases is introduced. The principle of the gas membrane separation process and the influence of the operation temperatures are analyzed. As the conventional PID controller is difficult to make the operation temperatures steady, a fuzzy self-tuning PID control algorithm is proposed. The application shows that the algorithm is effective, the operation temperatures of both stages can be controlled steadily, and the operation flexibility and adaptability of the hydrogen recovery unit are enhanced with safety. This study lays a foundation to optimize the control of the membrane separation process and thus ensure the membrane performance.