A modified biogeography‐based optimization algorithm based on cloud theory for optimizing a fuzzy PID controller

2022 ◽  
Author(s):  
Xiang Li ◽  
Jianjun Chen ◽  
Dingshan Zhou ◽  
Qingdong Gu
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Cloud Theory

Research on Control Strategy for Energy-Saving Optimization Algorithm of the Hydraulic Hybrid Vehicle

2011 ◽  
Vol 201-203 ◽  
pp. 2229-2237 ◽  
Author(s):  
Yan Li Chen ◽  
Shu Nan Liu ◽  
Tao Shang ◽  
Jia Lin Liu ◽  
Yuan Kun Zhang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Optimization Algorithm ◽  
Control Strategy ◽  
Pid Controller ◽  
Hybrid Vehicle ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Hydraulic Hybrid ◽  
Hydraulic Hybrid Vehicle

A new structure of hydraulic hybrid vehicle (HHV) with hydraulic transformer (HT) was built and the working principle of the new hydraulic hybrid vehicle was described. According to the operating characteristics of HT and energy-saving optimization conditions of accumulator used the HHV; Energy-saving optimization control algorithm with various operation conditions in different working conditions of vehicle was established. Then, simulation analysis to control performance of energy-saving algorithm was carried out using PID, Fuzzy Logic Controller (FLC) and Fuzzy-PID control strategy. Results show that Fuzzy-PID controller has a small influence on the parameters of energy-saving optimization algorithm of the hydraulic hybrid vehicle and maximizing energy recovery can be achieved in different energy states by Fuzzy-PID controller.

Design of Fuzzy PID Controller Based on Adaptive Particle Swarm Optimization with Cloud Theory

2013 ◽  
Vol 706-708 ◽  
pp. 720-723
Author(s):  
Ming Feng Ying ◽  
Li Xin Zai ◽  
Hai Xiang Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Excitation Control ◽  
Fuzzy Pid ◽  
Swarm Optimization ◽  
Fuzzy Pid Controller ◽  
Cloud Theory

Researching optimization problems of controller is need of industrial process control ,in which PID controller is widely used,which its parameters can be equivalent to optimization problems. In the industrial control the PID controller is widely used in excitation control system to improve its control performance.In order to find the optimal PID controller parameters effectively ,a kind of Adaptive Particle Swarm Optimization method (CAPSO) based on Cloud Theory is applied to fuzzy PID controller. Through the establishment of particle swarm algorithm of fuzzy PID controller parameters optimization model, which it can be used to optimize the membership function of fuzzy PID controller. Particle code adopts real coding. Particle dimension is related with the number of the input variables divided by fuzzy set and the number of control rules of whole fuzzy control system, thus the parameters of PID control are optimized on real time. The result from the simulation shows that compared with PID control and fuzzy control this system has several advantages which are small overshoots ,fast response ,and good stable performance to improve the control performance of excitation control system.

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