Design of and Research into a Multiple-Fuzzy PID Suspension Control System Based on Road Recognition

By analyzing the shortcomings of the traditional fuzzy PID(Abbreviation for Proportional, Integral and Differential) control system (FPID), a multiple fuzzy PID suspension control system based on road recognition (MFRR) is proposed. Compared with the traditional fuzzy PID control system, the multiple fuzzy control system can identify the road grade and take changes in road conditions into account. Based on changes in road conditions and the variable universe and secondary adjustment of the control parameters of the PID controller were carried out, which makes up for the disadvantage of having too many single input parameters in the traditional fuzzy PID control system. A two degree of freedom 1/4 vehicle model was established. Based on the suspension dynamic parameters, a road elevation algorithm was designed. Road grade recognition was carried out based on a BP neural network algorithm. The experimental results showed that the sprung mass acceleration (SMA) of the MFRR was much smaller than that of the passive suspension system (PS) and the FPID on single-bump and sinusoidal roads. The SMA, suspension dynamic deflection (SDD) and tire dynamic load (TDL) of the MFRR were significantly less than those of the other two systems on roads of each grade. Taking grade B road as an example, compared with the PS, the reductions in the SMA, SDD and TDL of the MFRR were 40.01%, 34.28% and 32.64%, respectively. The control system showed a good control performance.

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Intelligent Information of TS Fuzzy PID Control System of BLDCM

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.313 ◽

2013 ◽

Vol 846-847 ◽

pp. 313-316 ◽

Cited By ~ 2

Author(s):

Xiao Yun Zhang

Keyword(s):

Control System ◽

Dynamic Model ◽

Pid Control ◽

Control Method ◽

Design Method ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Control Precision ◽

Simulation Results ◽

Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

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Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.2568 ◽

2014 ◽

Vol 945-949 ◽

pp. 2568-2572

Author(s):

Si Yuan Wang ◽

Guang Sheng Ren ◽

Pan Nie

Keyword(s):

Control System ◽

Pid Control ◽

Pid Controller ◽

Simulation Analysis ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Proportional Control ◽

Fuzzy Pid Controller ◽

Design Requirements ◽

Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

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The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.321 ◽

2013 ◽

Vol 846-847 ◽

pp. 321-324 ◽

Cited By ~ 2

Author(s):

Le Peng Song ◽

Hua Bin Wang

Keyword(s):

Control System ◽

Pid Control ◽

Cascade Control ◽

Liquid Level ◽

Water Tank ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Adaptive Fuzzy ◽

Cascade Control System ◽

Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

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