scholarly journals Comparison Performance of PI and FPI Controllers for Model Reduction of Binary Distillation Column Plant

2020 ◽  
Vol 2 (1) ◽  
pp. 25-29
Author(s):  
Nasir Ahmed Alawad

Distillation is the separation strategy in the oil and compound businesses for cleansing of conclusive items. This paper deals with the reduced dynamic model and control of the distillation tower by applying a multi-loop control framework in Matlab/Simulink for a double blend. The structure objective considered is to guarantee that the top item, the base item, the reflux rate and the reboiler rate stray inside their recommended limits forever and for all the aggravations. This paper proposes an optimal tuning method for fractional Proportional-Integral controller (FPI). The method consists of minimizing Integral Absolute Error (IAE) performance index criterion. Acceptable controller (FPI) is acquired via looking in the space of plan boundaries (Kp,Ki). An example of application (distillation column) plant is presented to evaluate the proposed method. A comparison with classical PI controller and optimal PI shows that the system under fractional state is robust in terms of transient specifications, maximum overshot, settling and rise times. The simulation results shows that more than (21%) improvement for reducing the max-overshot and(65%)improvement for increasing response speed for fractional PI compared with classical PI.MATLAB simulation toolbox is used to show the effectives of the proposed method.

Author(s):  
Mikuláš Huba ◽  
Igor Bélai

This article presents design and evaluation of filtered proportional–integral controllers and filtered Smith predictor–inspired constrained dead time compensators. Both are based on the integral plus dead time and on the first-order time delayed plant models. They are compared as for tuning simplicity, robustness and noise attenuation. Such a comparison, which presents a robustness test regarding the importance of the internal plant feedback approximation, may be carried out by performance measures built on deviations of the input and output transient responses from their ideal shapes. When combined with integral of absolute error measures of both solution types with the disturbance responses set as nearly equivalent, we can see that the filtered Smith predictor setpoint responses may be significantly faster than the filtered proportional–integral controller responses, more robust and, using higher-order filters, also sufficiently smooth. Furthermore, tuning of the possibly higher-order filters for filtered Smith predictor is simpler. Its overall design is more transparent and straightforward with respect to the control constraints, where the filtered Smith predictor requires some additional anti-windup measures.


Author(s):  
Eben Lenfest ◽  
Andrew J. Goupee ◽  
Alan Wright ◽  
Nikhar Abbas

Abstract Designing a collective blade pitch controller for floating offshore wind turbines (FOWTs) poses unique challenges due to the interaction of the controller with the dynamics of the platform. The controller must also handle the competing objectives of power production performance and fatigue load management. Existing solutions either detune the controller with the result of slowed response, make use of complicated tuning methods, or incorporate a nacelle velocity feedback gain. With the goal of developing a simple control tuning method for the general FOWT researcher that is easily extensible to a wide array of turbine and hull configurations, this last idea is built upon by proposing a simple tuning strategy for the feedback gain. This strategy uses a two degree-of-freedom (DoF) turbine model that considers tower-top fore-aft and rotor angular displacements. For evaluation, the nacelle velocity term is added to an existing gain scheduled proportional-integral controller as a proportional gain. The modified controller is then compared to baseline land-based and detuned controllers on an example system for several load cases. First-pass results are favorable, demonstrating how researchers can use the proposed tuning method to efficiently schedule gains for adequate controller performance as they investigate new FOWT configurations.


Machines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Qiang Gao ◽  
Yong Zhu ◽  
Jinhua Liu

A fuel metering valve actuated by two binary-coded digital valve arrays (BDVAs) is proposed to improve the reliability of conventional fuel metering valves piloted by a servo valve. The design concept of this configuration is obtained from the structural characteristics of the dual nozzle-flapper and the flow regulation method of the digital hydraulic technology. The structure and working principle of the fuel metering valve are presented. Then, a mathematical model of the entire valve is developed for dynamic analysis. Subsequently, the mechanism of the transient flow uncertainty of the BDVA is revealed through simulation to determine the fluctuation in the velocity of the fuel metering valve. Furthermore, step response indicates that the delay time of the fuel metering valve is within 4.1 ms. Finally, to improve the position tracking accuracy of the fuel metering valve, a velocity feedforward proportional-integral controller with pulse code modulation is proposed. A series of comparative analyses indicate that compared with those of the velocity feedforward controller, the average and standard deviation of the position error for the proposed controller are reduced by 78 and 72.7%, respectively. The results prove the feasibility of the proposed valve and the effectiveness of the proposed control strategy.


Our work provides an experimental investigation over critical inductance analysis (CIA) for fundamental Luo family converters (LFCs).It mainly concentrates on negative output superlift Luo converter (NOSLLC), positive output superlift Luo converter (POSLLC) and negative output boost converter (NOBC) which is carried out with proportional integral controller (PIC) so as to get a control over the LFC’s output voltage. Experimental investigation is performed by selecting the critical inductance of LFCs based on average inductor current as well as inductor current repletion, and then the state-space equations of LFCs are attained using the Ziegler–Nicholas tuning method. The experimental analysis provides the researchers a detailed ride over critical inductance for LFCs converters to obtain a better voltage transfer ratio, efficiency and minimised capacitor voltage as well as inductance current ripples as compared with the traditional DC–DC converters. Therefore the performance of the LFCs using PIC is verified at different states by developing both the MATLAB/Simulink and the prototype models. The results of experimental and implementations are provided to represent the importance of the CIA of LFCs with PIC.


2013 ◽  
Vol 717 ◽  
pp. 541-545
Author(s):  
Young Sup Lee

This paper presents the effect of an integral feedback controller for minimizing the pointing error at the tip of a very flexible and slender cantilever beam to follow a command signal. A piezoeletric PZT actuator patch isbonded on near the clamped end of the cantilever beam. Also it is considered that a position sensor is located near the tip of the beam but it is not attached on the beam. The beam is designed to be lightly damped and its step response withoutcontrol is quite long. But because of the non-collocation of the sensor and actuator, the plant response is non-minimum phase. After an intensive computer simulation, it is noted that the integral controller can reduce the settling time with proper stability and control gains. Also an analysis and comparison of the integral controller with a proportional-integral controller for the pointing error minimization of the very flexible and slender beam is described in detail.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yong Liu ◽  
Gang Li ◽  
Yuchen Li ◽  
Yahui Wu

This study develops a novel neural-approximation-based prescribed performance controller for flexible hypersonic flight vehicles (HFVs). Firstly, a new prescribed performance mechanism is exploited, which develops new performance functions guaranteeing velocity and altitude tracking errors with small overshoots. Compared with the existing prescribed performance mechanism, it has better preselected transient and steady-state performance. Then, the nonaffine model of HFV is decomposed into a velocity subsystem and an altitude subsystem. A prescribed performance-based proportional-integral controller is designed in the velocity subsystem. In the altitude subsystem, the model is expressed as a nonaffine pure feedback form, and control inputs are derived from neural approximations. In order to reduce the amount of computation, only one neural network approximator is used to approximate the subsystem uncertainties, and an advanced regulation algorithm is applied to the devise adaptive law for neural estimation. At the same time, the complex design process of back-stepping can be avoided. Finally, numerical simulation results are presented to verify the efficiency of the design.


2018 ◽  
Vol 22 (Suppl. 5) ◽  
pp. 1337-1348
Author(s):  
Milan Ristanovic ◽  
Goran Petrovic ◽  
Zarko Cojbasic ◽  
Maja Todorovic

In this paper a radiator heating system of a building is considered. For the purpose of the heating system optimization, a mathematical model of the system is developed. The linear quadratic algorithm with integral action is proposed and analyzed. This solution has proven to be expensive. Further analysis of the model is done and a reduction of the order of the system is proposed. An inverse-based controller design approach for minimum-phase first order system is used to provide realizable controller in the form of proportional integral controller. Optimal parameters of the control algorithm parameters have been chosen by integral of time absolute error criterion, and also by metaheuristic optimization. According to the real heating demand, a simulation of the plant is performed. Proposed controllers were tested by numerical simulation for a typical winter day for geographical region of the building. It is shown that advanced performance can be achieved with optimized control systems, and that by controller optimization a significant reduction of the energy consumption is obtained without losing the in-door comfort. This has also proved to be more economical solution.


Author(s):  
Wen Zeng ◽  
Hai Fu ◽  
Songjing Li

To predict the size of droplets formed by pressure-driven flows, the droplet size as a nonlinear function of the pressure ratio is measured experimentally. The mathematical model of the pressure-driven microfluidic device is established, and by varying the volume of a container, comparative and quantitative measurements of the response speed and control accuracy of pressure-driven flows are presented. In particular, a closed-loop control system with feedback of the driven pressure is demonstrated, and the deviation between the measured and the predicted value of the driven pressure can be eliminated by using a PI controller. As a result, by accurately controlling the driven pressure of pressure-driven flows, monodisperse droplets with a desired size can be formed for pressure-driven microdroplet generators.


2013 ◽  
Vol 380-384 ◽  
pp. 365-369
Author(s):  
Gui Xi Jia ◽  
Jian Kui Feng

An improved control algorithm of repetitive controller based on virtual resistance was proposed to solve the problem of the slow dynamic response and the high total harmonic distortion (THD). The proportional-integral controller (PI controller) can not only adjust rapidly but also eliminate residual error effectively and the repetitive controller can eliminate periodic interference signal effectively. The double loop control combined with PI control and repetitive control. The controller has been used to control the inverter in grid-connected section which can improve the regulating speed and system stability. It can also achieve fairly good control effect under the circumstances of mutations of voltage and load. By designing the parameters of the controller, THD of the grid-connected current is lower than 0.61%. The simulation result shows that the algorithm is correct and feasible.


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