Rotor dynamic balancing control method based on fuzzy auto-tuning single neuron PID

In the process of recycling chemical product in coking object, ammonia and tar were indispensable both metallurgy and agriculture, so the control of separation process for tar-ammonia was one of the most important control problems. Due to the density difference between the tar and ammonia was greater, easier to separate, the control method based on PID was used in field at present. But the control effect of traditional PID was not good because of environment change and fluctuation in material composition. Separation process for tar-ammonia was analyzed firstly, in view of the shortcoming of traditional PID control algorithm, single neuron PID control algorithm based on variable scale method was adopted through using optimization method. Detailed algorithm steps were designed and applied to tar-ammonia separation system. Simulation results show that by comparison with traditional PID algorithm, the algorithm have the following advantages: faster learning speed, shorter adjusted time and good convergence performance.

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Research on Single Neuron PID Control Method for Time Delay Systems

2010 International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2010.630 ◽

2010 ◽

Cited By ~ 1

Author(s):

Wenbo Liu ◽

Mengxiao Wang

Keyword(s):

Time Delay ◽

Pid Control ◽

Single Neuron ◽

Control Method ◽

Delay Systems ◽

Time Delay Systems ◽

Single Neuron Pid

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Dual Hydraulic Cylinders Synchronized Control Strategy

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.898.546 ◽

2014 ◽

Vol 898 ◽

pp. 546-549

Author(s):

Li Ping Liu

Keyword(s):

Control Strategy ◽

Pid Control ◽

Single Neuron ◽

Control Method ◽

Synchronization Control ◽

Depth Study ◽

Hydraulic Cylinders ◽

Single Neuron Pid ◽

Lifting System ◽

Synchronization Accuracy

Through the double cylinder synchronous lifting system in-depth study presents a master-slave control method and the single neuron PID control strategy for controlling synchronization accuracy. Simulation results show that this method can achieve higher precision synchronization control.

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Velocity Tracking Control for Hydraulic Lifting System Based on Adaptive PSD Controller

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.394.398 ◽

2013 ◽

Vol 394 ◽

pp. 398-403

Author(s):

Chang Lin Ma ◽

Lin Hao ◽

Feng Li

Keyword(s):

Tracking Control ◽

Pid Controller ◽

Control Algorithm ◽

Single Neuron ◽

Control Method ◽

Single Neutron ◽

Single Neuron Pid ◽

Lifting System ◽

Adaptive Pid Control ◽

Velocity Tracking

The single neutron adaptive PID controller is applied to the angular velocity tracking control of the hydraulic lifting system. The angle velocity tracking control strategy of the lifting process is proposed, and the lifting angle velocity is designed based on the sine acceleration function, and the lifting angle velocity dynamic programming based on the real-time angle is proposed. The single neutron adaptive PID control method is studied, and in order to improve its performance, a method utilizing genetic algorithm to optimize these parameters of single neuron PID controller is presented. The control algorithm is applied to the large mechanical lifting process successfully, and the simulation results show that the control performance of the Adaptive PSD Controller is more effective.

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