The pid parameter optimization has been a hot topic of control system research. Artificial bee colony algorithm is used to optimize the pidparameters of control system, and gives the pid parameter optimization proces...
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ISBN:
(纸本)9783038352259
The pid parameter optimization has been a hot topic of control system research. Artificial bee colony algorithm is used to optimize the pidparameters of control system, and gives the pid parameter optimization process of the traditional artificial bee colony algorithm. Aiming at the optimization problem of long time, the improved artificial bee colony algorithm was put forward. The simulation results show that the improved artificial bee colony algorithm can significantly shorten the time of pid parameter optimization, control and better optimization accuracy.
For power plant boiler combustion control system has large inertia, nonlinear and other complex characteristics, a control algorithm of pid optimized by adaptive genetic algorithm is presented. By taking the rise time...
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ISBN:
(纸本)9781627481205
For power plant boiler combustion control system has large inertia, nonlinear and other complex characteristics, a control algorithm of pid optimized by adaptive genetic algorithm is presented. By taking the rise time, error integral and overshoot of system response as the performance index, and using genetic algorithm for real-coded of pidparameters, then a group of optimal values were obtained. Simulation results show that the method has a good dynamic performance, superior to the conventional pid controller.
Aiming at the nonlinear time variable property of the copper electrolysis rectifier system, this paper puts forward the new controlling means to optimize copper electrolysis rectifier system by using improved fuzzy im...
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ISBN:
(纸本)9781467318556;9781467318570
Aiming at the nonlinear time variable property of the copper electrolysis rectifier system, this paper puts forward the new controlling means to optimize copper electrolysis rectifier system by using improved fuzzy immune pid algorithm based on the investigation and analysis on the situation and tendencies of high-power electrolytic equipment home and abroad. Simulation and experimental results proves that the algorithm used is an effective and advanced control algorithm.
An improved algorithm (AFSA-IWO) was developed based on the artificial fish swarm algorithm (AFSA) and invasive weed optimization (IWO). It introduces TWO, and improves its mechanism of the competitive exclusion to me...
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ISBN:
(纸本)9783037853191
An improved algorithm (AFSA-IWO) was developed based on the artificial fish swarm algorithm (AFSA) and invasive weed optimization (IWO). It introduces TWO, and improves its mechanism of the competitive exclusion to meet practical application. Convergence analysis was performed with some typical benchmark test functions and comparison was made with AFSA. At the same time, it uses the AFSA-IWO to optimize the pidparameters. The results showed that the approach presented better ability in leaping over the local extremum and enhancing local exploration, and can void blind searching in the later evolution period. So it is a global optimization algorithm with good feasibility and high efficiency.
Aiming at the nonlinear time variable property of the copper electrolysis rectifier system, this paper puts forward the new controlling means to optimize copper electrolysis rectifier system by using improved fuzzy im...
详细信息
Aiming at the nonlinear time variable property of the copper electrolysis rectifier system, this paper puts forward the new controlling means to optimize copper electrolysis rectifier system by using improved fuzzy immune pid algorithm based on the investigation and analysis on the situation and tendencies of high-power electrolytic equipment home and abroad. Simulation and experimental results proves that the algorithm used is an effective and advanced control algorithm.
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