Fuzzy pi control design for an industrial weigh belt feeder

2003 ◽  
Vol 11 (3) ◽  
pp. 311-319 ◽  
Author(s):  
Yanan Zhao ◽  
E.G. Collins
Keyword(s):  
Control Design ◽  
Pi Control ◽  
Belt Feeder

Robust Decentralized PI Control Design

2014 ◽  
Vol 47 (3) ◽  
pp. 4699-4703 ◽  
Author(s):  
Petr Husek ◽  
Vladimír Kucera
Keyword(s):  
Control Design ◽  
Pi Control

Uncertainty shift in robust predictive control design for application in CAV air-conditioning systems

2011 ◽  
Vol 32 (4) ◽  
pp. 329-343 ◽  
Author(s):  
Gongsheng Huang ◽  
Tin-Tai Chow
Keyword(s):  
Air Temperature ◽  
Predictive Control ◽  
Air Conditioning ◽  
Prediction Models ◽  
Control Design ◽  
Pi Control ◽  
Control Law ◽  
Original Design ◽  
Input Structure ◽  
Air Conditioning Systems

Constant-air-volume (CAV) air-conditioning systems consist mainly of two local processes: an air-handling process and a room temperature process. A robust model predictive control (RMPC) strategy was developed for CAV air-conditioning systems, which adopted two uncertain first-order plus time-delay models to describe the dynamics of the local processes and used a linear matrix inequality (LMI)-based optimisation technique to optimise the control law. This paper develops a new control design, which reformulates the prediction models by shifting the uncertainties of the first model into the second one, and then uses the reformulated prediction models in the RMPC strategy. This paper will show that compared with the original design, the new control design can enhance the feasibility of the optimisation of control law, reduce the computational burden of the optimisation and also remove the requirement of a sensor for supply air temperature in the original design. Practical applications: The new design method is a further development of a RMPC strategy presented in Xu et al.13 It inherits the benefits of the original control design for practical application, i.e. uncertainties and constraints can be dealt with simultaneously in the design and the robustness of the controlled system can be enhanced. The new design improves the optimisation feasibility, reduces the computational complexity and does not need to measure the supply air temperature. When the new design is adopted to replace the traditional PI control, there is no necessity to change the existent input structure of the PI control. Hence, the new design can be realised in practice easier than the original design.

Research on Loads Control of Wind Turbine Based on Disturbance Accommodating Control

2012 ◽  
Vol 522 ◽  
pp. 838-841
Author(s):  
Guo Yu Hu ◽  
Wen Lei Sun ◽  
Ji Zhe Hai ◽  
Yan Xu
Keyword(s):  
Wind Turbine ◽  
State Space ◽  
High Speed ◽  
Control Design ◽  
Maximum Power ◽  
Pi Control ◽  
Low Speed ◽  
Pitch Control ◽  
Disturbance Accommodating Control ◽  
Simulation Results

This paper uses modern control based on DAC control to numerically simulate a 1.5MW wind turbine. Through linearized modeling of 1.5MW wind turbine, this paper illustrates state-space control design and simulation for a 1.5MW wind turbine. This paper emphasizes on the use of DAC control to alleviate loads when the turbine is operating at maximum power. Loads diagrams of 1.5MW wind turbine including generator, low-speed shaft and high-speed shaft are obtained. The simulation results show that the collective pitch control based on DAC has certain effects on load alleviation compared to PI control.

scholarly journals Kontrol Fuzzy PI untuk Pengaturan Kecepatan Angin oleh Wind Generator 1.42 Hp pada Wind Tunnel

2020 ◽  
Vol 8 (2) ◽  
pp. 288
Author(s):  
SEPTYANA RISKITASARI ◽  
BUDHY SETIAWAN ◽  
RATNA IKA PUTRI ◽  
WAHYU AULIA NURWICAKSANA
Keyword(s):  
Wind Tunnel ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Control Method ◽  
Control Design ◽  
Pi Control ◽  
Response System ◽  
Wind Generator ◽  
Turn Around Time ◽  
The Stability

ABSTRAKWind generator merupakan bagian terpenting dari pembuatan Wind tunnel, dimana fungsinya adalah sebagai sumber penghasil angin. Pada proses desain kontrol, tahap pertama adalah mengumpulkan data parameter empiris wind generator real menggunakan jenis motor induksi 1.42 hp pada wind tunnel. Pada penelitian ini dibuat simulasi pengontrolan kecepatan generator angin menggunakan metode kontrol fuzzy PI untuk meningkatkan hasil dari respon sistem kestabilan dengan titik setel 2 m/s hingga 10 m/s. Simulasi kontrol dilakukan dengan memanfaatkan jenis motor induksi yang sebanding dengan plant. Hasil respon sistem dengan menggunakan metode kontrol PI dan kontrol fuzzy PI yaitu kontrol fuzzy PI menghasilkan respon sistem yang lebih stabil dibandingkan dengan kontrol PI yang menghasilkan respons berosilasi. Settling time tercepat dengan kontrol fuzzy PI yaitu pada kecepatan angin 4 m/s sebesar 0.05 detik.Kata Kunci: Motor Induksi, Wind Generator, Wind Tunnel, Fuzzy PI ABSTRACTThe wind generator is the most important part of making a wind tunnel as a source of wind. In the control design process, the first step is to collect the real wind generator data parameters, namely the 1.42 hp induction motor in the wind tunnel. In this study, a simulation using a type of induction motor that is comparable to a plant with the fuzzy PI control method to improve the results of the stability of the response system with a set point of 2 m/s to 10 m/s. The results of the response system using the PI control and the PI Fuzzy control that is the PI Fuzzy control produce a more stable response system compared to the PI control which produces an oscillating response. The fastest turn around time with the PI Fuzzy control at a wind speed of 4 m/s is 0.05 seconds.Keywords: Induction Motor, Wind Generator, Wind Tunnel, PI Fuzzy

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