Microgrid Stabilization by Electrolyzer with Optimal Fuzzy Gain Scheduling PID Control

2012 ◽  
Author(s):  
Theerawut Chaiyatham ◽  
Issarachai Ngamroo
Keyword(s):  
Pid Control ◽  
Gain Scheduling

scholarly journals Fuzzy Gain Scheduling PID Control for Position of the AR.Drone

2018 ◽  
Vol 8 (4) ◽  
pp. 1939 ◽  
Author(s):  
Agung Prayitno ◽  
Veronica Indrawati ◽  
Ivan Immanuel Trusulaw
Keyword(s):  
Fuzzy Logic ◽  
Pid Control ◽  
Gain Scheduling ◽  
Logic Model ◽  
Pid Controllers ◽  
Process Scheduling ◽  
Tuning Parameters ◽  
Control Scheme ◽  
Integral Error ◽  
Takagi Sugeno

This paper describes the design and implementation of fuzzy gain scheduling PID control for position of the AR.Drone. This control scheme uses 3 PID controllers as the main controller of the AR.Drone, in this case to control pitch, roll and throttle. The process of tuning parameters for each PID is done automatically by scheduling determined by Takagi-Sugeno-Kang (TSK) fuzzy logic model. This paper uses five function sets of PID parameters that will be evaluated by fuzzy logic in order to tune PID controllers. Error position (x,y,z), as inputs of controller, enters the PID Signal block yielding the ouputs in term of error, integral error and differential error. These signal become the inputs of the fuzzy scheduler to yield outputs pitch, roll and throttle to the AR.drone. The control scheme is implemented on the AR.Drone to make it fly to forming a square in the room. The experimental results show that the control scheme can follow the desired points, and process scheduling PID parameters can be shown.

scholarly journals A Study on the Dynamic Positioning Control Algorithm Using Fuzzy Gain Scheduling PID Control Theory

2017 ◽  
Vol 54 (2) ◽  
pp. 102-112 ◽  
Author(s):  
Ma-Ro Jeon ◽  
Hee-Su Kim ◽  
Jae-Hak Kim ◽  
Su-Jeong Kim ◽  
Soon-Seok Song ◽  
...  
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Control Algorithm ◽  
Gain Scheduling ◽  
Dynamic Positioning ◽  
Positioning Control

scholarly journals A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Guoliang Wei ◽  
Zidong Wang ◽  
Wangyan Li ◽  
Lifeng Ma
Keyword(s):  
Pid Control ◽  
Probability Distributions ◽  
Gain Scheduling ◽  
Future Research ◽  
Research Directions ◽  
Recent Developments ◽  
Scheduling Method ◽  
Future Research Directions ◽  
Parameter Varying ◽  
Gain Scheduled

This paper presents an overview of the recent developments in the gain-scheduled control and filtering problems for the parameter-varying systems. First of all, we recall several important algorithms suitable for gain-scheduling method including gain-scheduled proportional-integral derivative (PID) control,H2,H∞and mixedH2/H∞gain-scheduling methods as well as fuzzy gain-scheduling techniques. Secondly, various important parameter-varying system models are reviewed, for which gain-scheduled control and filtering issues are usually dealt with. In particular, in view of the randomly occurring phenomena with time-varying probability distributions, some results of our recent work based on the probability-dependent gain-scheduling methods are reviewed. Furthermore, some latest progress in this area is discussed. Finally, conclusions are drawn and several potential future research directions are outlined.

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