The strategy of energy consumption optimization and application are researched. The performance test experiments for the ball mill in a power plant are carried out. The optimal equipment parameters and work condition are obtained by the test. The results can be used as guidance for practical operation for ball mill.
Aimed at the disadvantage of conventional optimization algorithm for ball mill, a new on-line optimization algorithm combined fill level is proposed. A new neural network called resource optimized networks (RON) is used to build the complex nonlinear relationship between the electric consumption and process parameters. Then the object function is determined based on the nonlinear model. The optimal work parameters of ball mill system are determined by genetic algorithm.
The optimization results demonstrate that power consumption can be decreased obviously and the goal of energy consumption optimization is achieved. The optimization results of control variables as fill level, inlet negative press and outlet temperature are obtained.
In order to overcome the uncertainty of model parameters and disturbance of system, robust control algorithm for ball mill system is researched. For the load control loop, based on the difference pressure control loop, the fill level control loop is imported. By choosing proper weighting function, a cascade robust control algorithm is proposed based on H, mixed sensitivity theory. For the coupling loop of inlet negative press and outlet temperature, the decoupling problem and mixed sensitivity problem design is combined. An H robust decoupling algorithm is proposed.
The ball mill is a horizontal rotating device transmitted by the outer gear. The materials are transferred to the grinding chamber through the quill shaft uniformly. There are ladder liner and ripple liner and different specifications of steel balls in the chamber. The centrifugal force caused by rotation of barrel brings the steel balls to a certain height and impact and grind the materials. The ground materials are discharged through the discharging board thus the ball mill grinding process is finished.
As a professional ball mill manufacturer, Henan Hongxing Mining Machinery Co., Ltd has more than 20 years of production experience, advanced ball mill technology, strong technical, reasonable ball mill price, and welcome consumers to visit consultation. We warmly invite customers all over the world to visit our factory, guide our work, and cooperate with us.
We provide Professional technology, excellent product quality and intimate after-sales service when you purchase Cement making machine, cone crusher, from our company.As a professional mining machinery exporter, we will win your trust with our delivery speed, Enterprises Credit and product quality.The strategy of energy consumption optimization and application are researched. The performance test experiments for the ball mill in a power plant are carried out. The optimal equipment parameters and work condition are obtained by the test. The results can be used as guidance for practical operation for ball mill.
Aimed at the disadvantage of conventional optimization algorithm for ball mill, a new on-line optimization algorithm combined fill level is proposed. A new neural network called resource optimized networks (RON) is used to build the complex nonlinear relationship between the electric consumption and process parameters. Then the object function is determined based on the nonlinear model. The optimal work parameters of ball mill system are determined by genetic algorithm.
The optimization results demonstrate that power consumption can be decreased obviously and the goal of energy consumption optimization is achieved. The optimization results of control variables as fill level, inlet negative press and outlet temperature are obtained.
In order to overcome the uncertainty of model parameters and disturbance of system, robust control algorithm for ball mill system is researched. For the load control loop, based on the difference pressure control loop, the fill level control loop is imported. By choosing proper weighting function, a cascade robust control algorithm is proposed based on H, mixed sensitivity theory. For the coupling loop of inlet negative press and outlet temperature, the decoupling problem and mixed sensitivity problem design is combined. An H robust decoupling algorithm is proposed.
The ball mill is a horizontal rotating device transmitted by the outer gear. The materials are transferred to the grinding chamber through the quill shaft uniformly. There are ladder liner and ripple liner and different specifications of steel balls in the chamber. The centrifugal force caused by rotation of barrel brings the steel balls to a certain height and impact and grind the materials. The ground materials are discharged through the discharging board thus the ball mill grinding process is finished.
As a professional ball mill manufacturer, Henan Hongxing Mining Machinery Co., Ltd has more than 20 years of production experience, advanced ball mill technology, strong technical, reasonable ball mill price, and welcome consumers to visit consultation. We warmly invite customers all over the world to visit our factory, guide our work, and cooperate with us.
We provide Professional technology, excellent product quality and intimate after-sales service when you purchase Cement making machine, cone crusher, from our company.As a professional mining machinery exporter, we will win your trust with our delivery speed, Enterprises Credit and product quality.
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