Next Article in Journal
Numerical Simulation and In-Situ Measurement of Ground-Borne Vibration Due to Subway System
Previous Article in Journal
Title “Organic Fertilizers” in Vietnam’s Markets: Nutrient Composition and Efficacy of Their Application
Previous Article in Special Issue
The Effects of Perceived Barriers on Innovation Resistance of Hydrogen-Electric Motorcycles
Open AccessArticle

A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant

by 1, 1,*, 2,* and 3
1
Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Chien-Shiung Wu College, Southeast University, Nanjing 210096, China
2
School of Mechanical and Electrical Engineering, Qingdao University, Ningxia Road 308, Qingdao 266071, China
3
School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China
*
Authors to whom correspondence should be addressed.
Sustainability 2018, 10(7), 2438; https://doi.org/10.3390/su10072438
Received: 3 June 2018 / Revised: 17 June 2018 / Accepted: 19 June 2018 / Published: 12 July 2018
(This article belongs to the Special Issue Hydrogen Production and Utilization)
Solid oxide fuel cells (SOFCs) are promising electrochemical devices which translate chemical energy directly into electric energy with high efficiency and low pollution. However, the control of the output voltage of SOFCs is quite challenging because of the strong nonlinearity, limited fuel flow, and rapid variation of the load disturbance. Nowadays, proportional-integral-derivative (PID) controllers are commonly utilized in industrial control systems for their high reliability and simplicity. However, it will lead to overshoot and windup issues when used in the wide-range operation of SOFCs. This paper aims to improve the PID controller performance based on fuzzy logic by (1) identifying a linear model based on the least squares method; (2) optimizing the PID parameters based on the generated linear model; and (3) designing a fuzzy adaptive PID controller based on the optimized parameters. The simulation results of the conventional PID controller and the fuzzy adaptive PID controller are compared, demonstrating that the proposed controller can achieve satisfactory control performance for SOFCs in terms of anti-windup, overshoot reduction, and tracking acceleration. The main contribution of this paper can be summarized as: (1) this paper identifies the SOFC model and uses the identified model as a control object to optimize conventional PID controllers; (2) this paper combines a fuzzy logic control scheme and PID control scheme to design our proposed fuzzy adaptive PID controller; and (3) this paper develops an anti-windup structure based on a back-calculation method to reduce saturation time and overshoot. View Full-Text
Keywords: solid oxide fuel cell (SOFC); PID control; fuzzy control; anti-windup solid oxide fuel cell (SOFC); PID control; fuzzy control; anti-windup
Show Figures

Figure 1

MDPI and ACS Style

Qin, Y.; Sun, L.; Hua, Q.; Liu, P. A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant. Sustainability 2018, 10, 2438.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop