Fuzzy Greenhouse Climate Control System based on a Field Programmable Gate Array

2006 ◽  
Vol 94 (2) ◽  
pp. 165-177 ◽  
Author(s):  
Rodrigo Castañeda-Miranda ◽  
Eusebio Ventura-Ramos ◽  
Rebeca del Rocío Peniche-Vera ◽  
Gilberto Herrera-Ruiz
Keyword(s):  
Control System ◽  
Field Programmable Gate Array ◽  
Climate Control ◽  
Greenhouse Climate ◽  
Field Programmable ◽  
Gate Array ◽  
Greenhouse Climate Control

Simplified architecture of a type-2 fuzzy controller using four embedded type-1 fuzzy controllers and its application to a greenhouse climate control system

2009 ◽  
Vol 223 (5) ◽  
pp. 619-631 ◽  
Author(s):  
I A Hameed
Keyword(s):  
Control System ◽  
Control Systems ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Climate Control ◽  
Fuzzy Logic Systems ◽  
Greenhouse Climate ◽  
Greenhouse Climate Control

Uncertainty is an inherent part of control systems used in real-world applications. The use of new methods for handling incomplete information and to cope with large amounts of uncertainties is of fundamental importance. The traditional type-1 fuzzy sets (T1FSs) used in conventional fuzzy logic systems (FLSs) cannot fully handle the uncertainties present in control systems. The type-2 FSs (T2FSs) used in T2FLSs can handle such uncertainties in a better way because they provide more parameters and more degrees of freedom. In spite of the features of the T2FS, it has not received the attention it deserves because of its implementation complexity. In this paper, a simple architecture of the T2FLS using four embedded T1FLSs is introduced. The performance of the proposed T2FLS is assessed by applying it to a multi-input multi-output (MIMO) greenhouse climate control system. Simulation results showed that the simplified architecture is able to cope with the complexity of the plant and has the ability to handle measurement and modelling uncertainties. The performance of the proposed T2FLS is comparable with the computationally costly T2FLS and outperforms its traditional T1FLS counterpart.

scholarly journals Using sigma-delta quantizer Based PI for inductive power transfer systems

2020 ◽  
Vol 11 (3) ◽  
pp. 1449
Author(s):  
Dhafer J. Almakhles ◽  
Akshya Swain ◽  
Hou Yuefeng
Keyword(s):  
Control System ◽  
Field Programmable Gate Array ◽  
Power Transfer ◽  
Sigma Delta ◽  
Integral Control ◽  
Inductive Power Transfer ◽  
Field Programmable ◽  
Gate Array ◽  
Control Topology ◽  
Inductive Power

<p>In this paper, a Sigma-Delta Quantizer (∑∆-Q) based Proportional and Integral control is proposed for a wireless power transfer control system, namely inductive power transfer system. The proposed control topology employs ∑∆-Qs to convert the conventional signals (analog/digital signals) into bitsreatm signals (1-bit per sample time). Considering the oversampling feature of ∑∆-Q, field programmable gate array is utilized in the implementation of the control system. To evaluate the effectiveness of the presented control topology, it is compared with an inductive power transfer control system using the conventional proportional and integral controller. For the sake of simplicity, the comparison is carried out using hardware in Loop. Both control systems exhibit almost identical responses. However, the bitstream feature of the proposed PI controller significantly helps in reducing the hardware resources (logic elements) in field programmable gate array. In addition, less wire routing and computational complexity is achieved due to absence of multipliers.</p>

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