scholarly journals Parametric and Nonparametric PI Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

2020 ◽  
Vol 10 (4) ◽  
pp. 1443 ◽  
Author(s):  
Tomaž Kos ◽  
Mikuláš Huba ◽  
Damir Vrančić
Keyword(s):  
Time Domain ◽  
Power Plants ◽  
Closed Loop ◽  
Pi Controller ◽  
Weighting Factor ◽  
Closed Loop Control ◽  
Controller Tuning ◽  
Loop Control ◽  
Tuning Method ◽  
Tuning Methods

Integrating systems are frequently encountered in the oil industry (oil–water–gas separators, distillation columns), power plants, paper-production plants, polymerisation processes, and in storage tanks. Due to the non-self-regulating character of the processes, any disturbance can cause a drift of the process output signal. Therefore, efficient closed-loop control of such processes is required. There are many PI and PID controller tuning methods for integrating processes. However, it is hard to find one requiring only a simple tuning procedure on the process, while the tuning method is based either on time-domain measurements or on a process transfer function of arbitrary order, which are the advantages of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose the extension of the MOMI tuning method to integrating processes. Besides the mentioned advantages, the extension provides efficient closed-loop control, while PI controller parameters calculation is still based on simple algebraic expressions, making it suitable for less-demanding hardware, like simpler programmable logic controllers (PLC). Additionally, the proposed method incorporates reference weighting factor b that allows users to emphasize either the disturbance-rejection or reference-following response. The proposed extension of the MOMI method (time-domain approach) was also tested on a charge-amplifier drift-compensation system, a laboratory hydraulic plant, on an industrial autoclave, and on a solid-oxide fuel-cell temperature control. All closed-loop responses were relatively stable and fast, all in accordance with the magnitude optimum criteria.

scholarly journals Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

2020 ◽  
Vol 10 (17) ◽  
pp. 6012
Author(s):  
Tomaž Kos ◽  
Mikuláš Huba ◽  
Damir Vrančić
Keyword(s):  
Pid Controller ◽  
Power Plants ◽  
Degrees Of Freedom ◽  
Closed Loop ◽  
Weighting Factor ◽  
Open Loop ◽  
Distillation Columns ◽  
Tuning Method ◽  
Tuning Methods ◽  
A Charge

Integrating systems are frequently encountered in power plants, paper-production plants, storage tanks, distillation columns, chemical reactors, and the oil industry. Due to the open-loop instability that leads to an unbounded output from a bounded input, the efficient control of integrating systems remains a challenging task. Many researchers have addressed the control of integrating processes: Some solutions are based on a single closed-loop controller, while others employ more complex control structures. However, it is difficult to find one solution requiring only a simple tuning procedure for the process. This is the advantage of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose an extension of the MOMI tuning method for integrating processes, controlled with a two-degrees-of-freedom (2-DOF) proportional–integral–derivative (PID) controller. This extension allows for calculations of the controller parameters from either time domain measurements or from a process transfer function of an arbitrary order with a time-delay, when both approaches are exactly equivalent. The user has the option to emphasise disturbance-rejection or tracking with the reference weighting factor b or apply two different reference filters for the best overall response. The proposed extension was also compared to other tuning methods for the control of integrating processes and tested on a charge-amplifier drift-compensation system. All closed-loop responses were relatively fast and stable, all in accordance with the magnitude optimum criteria.

Optimal PI Controller Tuning Based on ITAE Criterion for Low-Order Systems with Large Time Delay

2013 ◽  
Vol 411-414 ◽  
pp. 1716-1719
Author(s):  
Feng Ping Pan ◽  
Hong Kai Liao ◽  
Jia Luo ◽  
Xi Zhang
Keyword(s):  
Genetic Algorithm ◽  
Time Delay ◽  
Large Time ◽  
Pi Controller ◽  
Stable Region ◽  
Controller Tuning ◽  
Nonlinear Fitting ◽  
Tuning Method ◽  
Tuning Methods ◽  
Low Order

For low order process with large time delay, a kind of optimal PI controller tuning method is proposed based on generalized Hermite-Biehler theorem and Genetic Algorithm. Firstly, the stable region of PI controller is obtained by using the generalized Hermite-Biehler theorem. Then the optimum parameters are selected from this region based on ITAE criterion and genetic algorithm. A tuning formula is obtained by nonlinear fitting of optimization result, which has the capability to cover the variety of normalized time delays up to 100. Simulation of Monte-Carlo stochastic experiment indicates that the proposed method has good performance robustness when parameter uncertainty occurs, compared with other four PI tuning methods.

scholarly journals Al Microheater and Ni Temperature Sensor Set based-on Photolithography with Closed-Loop Control

2015 ◽  
Vol 5 (4) ◽  
pp. 849
Author(s):  
Pittaya Deekla ◽  
Rungrueang Phatthanakun ◽  
Sarawut Sujitjorn ◽  
Nimit Chomnawang
Keyword(s):  
Temperature Sensor ◽  
Closed Loop ◽  
Low Cost ◽  
Pi Controller ◽  
Closed Loop Control ◽  
Micro Electro Mechanical Systems ◽  
Loop Control ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
Lift Off

This article proposes the development of a new low-cost microheater and temperature sensor set. It was developed based on Micro-Electro-Mechanical Systems (MEMS) which based on photolithography technique and lift-off technique. Thin film of aluminum was utilized as microheater and encompassed nickel temperature sensor inside in order to decrease response time of the desired temperature. To control the various temperatures correctly, closed-loop feedback control based on PI-controller was adapted into control circuit system. Microcontroller was implemented to control and observe the responses of temperature between 40°C and 120°C. Simulation and experimental results are also presented.

scholarly journals Bus Voltage Stabilization Control of Photovoltaic DC Microgrid Based on Fuzzy-PI Dual-Mode Controller

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Yu Zhang ◽  
Shuhao Wei ◽  
Jin Wang ◽  
Lieping Zhang
Keyword(s):  
Closed Loop ◽  
Pi Controller ◽  
Closed Loop Control ◽  
Strong Nonlinearity ◽  
Dual Mode ◽  
Dc Microgrid ◽  
Loop Control ◽  
Stabilization Control ◽  
Voltage Deviation ◽  
Bus Voltage

The photovoltaic DC microgrid has strong nonlinearity and time variation. Therefore, traditional dual closed-loop control strategy of voltage and current based on PI controller cannot effectively restrain the fluctuation and impact of DC bus voltage when the dynamic response of the system is improved. Under this situation, in this paper, the fuzzy-PI dual-mode controller is designed to upgrade the traditional dual closed-loop control, taking voltage outer ring into consideration, which is adopted to achieve good transient performance while the bus voltage deviation is large. While the bus voltage deviation is small, the PI controller is utilized for good steady-state performance. Hence, simulation and experimental results show that the fuzzy-PI dual-mode controller has the same advantages with both fuzzy control and PI control; in other words, it has the features of speedy response, low overshoot, good robustness, and strong anti-interference under different working conditions.

scholarly journals Harmonic Mitigation of PV Based Grid-Connected Hybrid System using ANFIS

2019 ◽  
Vol 9 (1) ◽  
pp. 2855-2860
Keyword(s):  
Hybrid System ◽  
Control Strategy ◽  
Closed Loop ◽  
Reactive Power ◽  
Pi Controller ◽  
Active Power ◽  
Closed Loop Control ◽  
Source Condition ◽  
Loop Control ◽  
Composite Control

Deriving quality power is the vital problem in power system network. The main focus of the paper is to reduce the power quality issues mainly the reduction of harmonics using source compensation technique. This paper proposes a grid integrated hybrid system with ANFIS. This hybrid system mainly consists of PV panel, inverters, fuel cell, batteries and filters. Based on working principle and characteristics of the proposed hybrid system, the composite control strategy about active power, reactive power and harmonic suppression is proposed. The composite control strategy are of two loops ie., a single closed-loop control response active power and reactive power, double closed-loop control responses harmonics. Both balanced source condition and unbalanced source condition for three phase system are developed by Simulink model. The balanced and unbalanced source performance is done by using ANFIS. PI controller and ANFIS are compared with their Simulink results. Simulation results shows the performance of ANFIS is better than PI controller.

Terahertz Time-Domain Spectroscopy Rapid Data Acquisition Based on Closed-Loop Control

2015 ◽  
Vol 52 (4) ◽  
pp. 040401
Author(s):  
黄战华 Huang Zhanhua ◽  
胡子晓 Hu Zixiao ◽  
何明霞 He Mingxia ◽  
龙宁波 Long Ningbo ◽  
刘洋 Liu Yang
Keyword(s):  
Data Acquisition ◽  
Time Domain ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Terahertz Time Domain Spectroscopy ◽  
Time Domain Spectroscopy ◽  
Loop Control ◽  
Rapid Data Acquisition

scholarly journals Model-Based Control Design of Series Resonant Converter Based on the Discrete Time Domain Modelling Approach for DC Wind Turbine

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Yu-Hsing Chen ◽  
Catalin Gabriel Dincan ◽  
Philip Kjær ◽  
Claus Leth Bak ◽  
Xiongfei Wang ◽  
...  
Keyword(s):  
Discrete Time ◽  
Time Domain ◽  
Closed Loop ◽  
Control Structure ◽  
Control Design ◽  
Closed Loop Control ◽  
Resonant Converter ◽  
Loop Control ◽  
Series Resonant ◽  
Domain Modelling

This paper focuses on the modelling of the series resonant converter proposed as a DC/DC converter for DC wind turbines. The closed-loop control design based on the discrete time domain modelling technique for the converter (named SRC#) operated in continuous-conduction mode (CCM) is investigated. To facilitate dynamic analysis and design of control structure, the design process includes derivation of linearized state-space equations, design of closed-loop control structure, and design of gain scheduling controller. The analytical results of system are verified in z-domain by comparison of circuit simulator response (in PLECS™) to changes in pulse frequency and disturbances in input and output voltages and show a good agreement. Furthermore, the test results also give enough supporting arguments to proposed control design.

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