scholarly journals MODEL PREDICTIVE CONTROL OF A HYDRAULIC ACTUATOR IN TORQUE APPLYING SYSTEM OF A MECHANICALLY CLOSED-LOOP TEST RIG FOR THE HELICOPTER GEARBOX

Aviation ◽  
2020 ◽  
Vol 23 (4) ◽  
pp. 143-153
Author(s):  
Aida Parvaresh ◽  
Mohsen Mardani
Keyword(s):  
Predictive Control ◽  
Closed Loop ◽  
Operating Conditions ◽  
Hydraulic Actuator ◽  
Test Rig ◽  
Dynamic Matrix ◽  
University Of Technology ◽  
Predictive Controller ◽  
Loop Procedure ◽  
Education Culture

Transmission health is an important factor in safety and maintenance costs in industries, so construction of test rigs for testing high-powered gearboxes under different operating conditions of helicopters is required. The studied test rig, which is developed at Sharif University of Technology branch of ACECR (Academic Centre of Education, Culture and Research) is mainly used for testing high-powered gearboxes through a mechanically closed-loop procedure. For providing a variety of speeds and torques in test rigs, torque applying system is required. According to generation of higher forces, reduced size of equipment and accurate positioning, electro hydraulic actuators (EHAs) are used for applying torques for planetary gearboxes of this test rig. Due to the importance of applying accurate torques in evaluation of the gearbox performance, first an accurate model of EHA is derived, which captures the system dynamics using system identification method with low consumed time and simple relations. After that, a type of model predictive controller called dynamic matrix controller is proposed for controlling EHA under determined requirements. Then, the performance of proposed controller under normal conditions as well as in presence of disturbance is investigated. The results show a good tracking of controller for various reference inputs in different conditions. Moreover, the performance of the proposed controller is compared with the performance of classical proportional-integral-derivative (PID) controller and superior characteristics of the proposed controller is concluded.

scholarly journals Generalized ESO and Predictive Control Based Robust Autopilot Design

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Bhavnesh Panchal ◽  
S. E. Talole
Keyword(s):  
Predictive Control ◽  
Closed Loop ◽  
Specific Information ◽  
Disturbance Compensation ◽  
External Disturbances ◽  
Output Tracking ◽  
Control Gain ◽  
Predictive Controller ◽  
Mismatched Uncertainty ◽  
Acceleration Tracking

A novel continuous time predictive control and generalized extended state observer (GESO) based acceleration tracking pitch autopilot design is proposed for a tail controlled, skid-to-turn tactical missile. As the dynamics of missile are significantly uncertain with mismatched uncertainty, GESO is employed to estimate the state and uncertainty in an integrated manner. The estimates are used to meet the requirement of state and to robustify the output tracking predictive controller designed for nominal system. Closed loop stability for the controller-observer structure is established. An important feature of the proposed design is that it does not require any specific information about the uncertainty. Also the predictive control design yields the feedback control gain and disturbance compensation gain simultaneously. Effectiveness of GESO in estimation of the states and uncertainties and in robustifying the predictive controller in the presence of parametric uncertainties, external disturbances, unmodeled dynamics, and measurement noise is illustrated by simulation.

scholarly journals ANÁLISE EM MALHA FECHADA DO CONTROLADOR GENERALIZED PREDICTIVE CONTROL (GPC)

2009 ◽  
Vol 3 ◽  
pp. 119 ◽  
Author(s):  
Anderson Luiz Cavalcanti
Keyword(s):  
Stability Analysis ◽  
Predictive Control ◽  
Robust Stability ◽  
Closed Loop ◽  
Generalized Predictive Control ◽  
Loop Analysis ◽  
Closed Loop Systems ◽  
Robust Stability Analysis ◽  
Predictive Controller ◽  
Simulation Results

RESUMO O presente trabalho tem o objetivo de apresentar uma análise em malha fechada do controlador Generalized Predictive Control (GPC). Esta análise visa observar, com detalhes, as características deste tipo de controlador. Os detalhes apresentados são de extrema importância na análise de estabilidade robusta. Alguns resultados de simulação são apresentados. PALAVRAS-CHAVE: Controle preditivo, sistemas em malha fechada. CLOSED-LOOP ANALYSIS OF GENERALIZED PREDICTIVE CONTROL (GPC) ABSTRACT This paper presents a closed loop analysys of Generalized Predictive Control GPC. This analysis observes, in details, the features of this kind of predictive controller The details showed are very important in robust stability analysis. Simulation results are shown. KEY-WORDS: Predictive control, closed-loop systems.

Numerical and Experimental Study on Bleed Impact on Intermediate Compressor Duct Performance

2018 ◽  
Author(s):  
Elias M. V. Siggeirsson ◽  
Niklas Andersson ◽  
Fredrik Wallin
Keyword(s):  
Flow Field ◽  
Pressure Coefficient ◽  
Aircraft Engine ◽  
Operating Conditions ◽  
Test Rig ◽  
Cfd Simulations ◽  
Local Effects ◽  
University Of Technology ◽  
The Difference ◽  
Operating Points

In this study, a comparison is done between an in-house experimental test rig at GKN Aerospace and simulations done using an in-house CFD solver at Chalmers University of Technology. The geometry represents an intermediate compressor duct of an aircraft engine. The main focus is on comparing the flow field at different operating conditions. Those conditions are controlled by extracted massflow through a bleed pipe, upstream of the intermediate compressor duct. The work presented in this paper is done using a RANS solver with the Spalart All-maras turbulence model. The CFD simulations compare well with measured data, for the lower bleed fraction, especially in terms of pressure coefficients in the intermediate compressor duct and at downstream locations. There are strong local effects due to instabilities in the bleed pipe for the higher bleed fraction, which caused the fluctuations in the pressure coefficient and resulted in degraded convergence. The difference in the flow field is also visible when comparing the operating points, where stronger total pressure wakes are noticed in the results for the lower bleed case.

Experimental and Numerical Investigation of Losses in Centrifugal Compressor Components

2013 ◽  
Author(s):  
Ali Asghar Doustmohammadi ◽  
Ali HajilouyBenisi ◽  
Mohammad Mojaddam
Keyword(s):  
Entropy Generation ◽  
Performance Prediction ◽  
Operating Conditions ◽  
Test Results ◽  
Test Rig ◽  
University Of Technology ◽  
Performance Curves ◽  
Stationary Component ◽  
Wide Operating ◽  
Good Agreement

In this research an analytical model for performance prediction of centrifugal compressors is developed. The loss mechanisms are investigated in impeller, diffuser and volute separately for wide operating rotational speeds of the compressor. The contributions of compressor components in total entropy generation are further studied using different experimental correlations and methods. The results are verified using experimental test results, carried out at Sharif University of technology Turbocharger laboratory which has been designed to derive performance curves of turbocharger compressors. The test rig is equipped to measure static and stagnation pressures at inlet and outlet of each component to determine the total pressure drop of each one. The model results show good agreement with experimental results. The results show the losses which are related to the impeller are higher than stationary component losses at design and off design operating conditions and the incidence loss is the main source of entropy generation in off design conditions. Also the diffuser losses increase with increasing mass flow rate while volute losses decrease.

An Infinite Model Predictive Controller for Multi Input Nonlinear Processes

2017 ◽  
Author(s):  
Ma’moun Abu-Ayyad ◽  
Abdelkader Abdessameud ◽  
Issam Abu-Mahfouz
Keyword(s):  
Closed Loop ◽  
Nonlinear Functions ◽  
Model Predictive Controller ◽  
Nonlinear Characteristics ◽  
Loop Control ◽  
Dynamic Matrix ◽  
New Strategy ◽  
Predictive Controller ◽  
Process Gain ◽  
Infinite Model

This paper presents a novel algorithm of an infinite model predictive controller for controlling nonlinear multi-input multi-output (MIMO) processes. The new strategy uses a set of continuous nonlinear functions that captures the nonlinear characteristics of the MIMO plant over a wide operating range resulting in a more accurate prediction of the controlled variables. The method formulates a nonlinear dynamic matrix that is manipulated variable dependent during closed-loop control. The proposed algorithm was implemented on a nonlinear MIMO thermal system comprising of three temperature zones to be controlled with interacting effects. The experimental closed-loop responses of the proposed algorithm were compared to a multi-model dynamic matrix controller (DMC) with improved results for various setpoint trajectories. The MIMO process has nonlinear parameters such as process gain and time constant that are dependent on the size of the control actions. Good disturbance rejection was attained resulting in improved tracking of multi-setpoint profiles in comparison to multi-model DMC.

scholarly journals Data-driven adaptive predictive control for an activated sludge process

2020 ◽  
Vol 9 (5) ◽  
pp. 1827-1834
Author(s):  
Mashitah C. Razali ◽  
Norhaliza Abdul Wahab ◽  
Syahira Ibrahim ◽  
Azavitra Zainal ◽  
M. F. Rahmat ◽  
...  
Keyword(s):  
Activated Sludge ◽  
Predictive Control ◽  
Adaptive Strategy ◽  
Operating Conditions ◽  
Data Driven ◽  
Activated Sludge Process ◽  
Direct Identification ◽  
Identification Technique ◽  
Predictive Controller ◽  
Adaptive Model Predictive Control

Data-driven control requires no information of the mathematical model of the controlled process. This paper proposes the direct identification of controller parameters of activated sludge process. This class of data-driven control calculates the predictive controller parameters directly using subspace identification technique. By updating input-output data using receding window mechanism, the adaptive strategy can be achieved. The robustness test and stability analysis of direct adaptive model predictive control are discussed to realize the effectiveness of this adaptive control scheme. The applicability of the controller algorithm to adapt into varying kinetic parameters and operating conditions is evaluated. Simulation results show that by a proper and effective excitation of direct identification of controller parameters, the convergence and stability of the implicit predictive model can be achieved.

A New Adaptive Generalized Predictive Control Algorithm for Nonlinear Processes

2010 ◽  
Author(s):  
Ma’moun Abu-Ayyad ◽  
Rickey Dubay ◽  
Bambang Pramujati
Keyword(s):  
Predictive Control ◽  
Closed Loop ◽  
Control Strategies ◽  
Temperature Control System ◽  
Generalized Predictive Control ◽  
Steel Cylinder ◽  
Unique Method ◽  
Predictive Controller ◽  
Process Prediction ◽  
Sampling Instant

This paper presents a unique method for improving the performance of the generalized predictive control (GPC) algorithm for controlling nonlinear systems. This method is termed adaptive generalized predictive control which uses a multi-dimensional surface of the nonlinear plant to recalculate the controller parameters every sampling instant. This results in a more accurate process prediction and improved closed-loop performance over the original GPC algorithm. The adaptive generalized predictive controller was tested in simulation and its control performance compared to GPC on several nonlinear plants with different degrees of nonlinearity. Practical testing and comparisons were performed on a steel cylinder temperature control system. Simulation and experimental results both demonstrate that the adaptive generalized predictive controller demonstrated improved closed-loop performance. The formulation of the nonlinear surface provides the mechanism for the adaptive approach to be readily applied to other advanced control strategies making the methodology generic.

scholarly journals Aircraft Control System Using Model Predictive Controller

2015 ◽  
Vol 15 (2) ◽  
pp. 259
Author(s):  
Labane Chrif ◽  
Zemalache Meguenni Kadda
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Receding Horizon ◽  
Model Predictive Controller ◽  
Control Approach ◽  
Dynamic Matrix ◽  
Basic Model ◽  
Terrain Following ◽  
Predictive Controller ◽  
Linear State

This paper concerns the application of model-based predictive control to the longitudinal and lateral mode of an aircraft in a terrain following task. The predictive control approach was based on a quadratic cost function and a linear state space prediction model with input and state constraints. The optimal control was obtained as the solution of a quadratic programming problem defined over a receding horizon. Closed-loop simulations were carried out by using the linear aircraft model. This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of industrial model predictive control technology has been presented first followed by a some concepts like the receding horizon, moves etc. which form the basis of the MPC. It follows the Optimization problem which ultimately leads to the description of the Dynamic Matrix Control (DMC).The MPC presented in this report is based on DMC. After this the application summary and the limitations of the existing technology has been discussed and the next generation MPC, with an emphasis on potential business and research opportunities has been reviewed. Finally in the last part we generate Matlab code to implement basic model predictive controller and introduce noise into the model.

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