scholarly journals Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Min-Ying Li ◽  
Kang-Di Lu ◽  
Yu-Xing Dai ◽  
Guo-Qiang Zeng
Keyword(s):  
Fractional Order ◽  
Control Method ◽  
Industrial Process ◽  
Batch Process ◽  
Industrial Processes ◽  
Smoothing Factor ◽  
Extremal Optimization ◽  
Actuator Failures ◽  
Predictive Functional Control ◽  
Functional Control

As the actuator faults in an industrial process cause damage or performance deterioration, the design issue of an optimal controller against these failures is of great importance. In this paper, a fractional-order predictive functional control method based on population extremal optimization is proposed to maintain the control performance against partial actuator failures. The proposed control strategy consists of two key ideas. The first one is the application of fractional-order calculus into the cost function of predictive functional control. Since the knowledge of analytical parameters including the prediction horizon, fractional-order parameter, and smoothing factor in fractional-order predictive functional control is not known, population extremal optimization is employed as the second key technique to search for these parameters. The effectiveness of the proposed controller is examined on two industrial processes, e.g., injection modeling batch process and process flow of coke furnace under constant faults, time-varying faults, and nonrepetitive unknown disturbance. The comprehensive simulation results demonstrate the performance of the proposed control method by comparing with a recently developed predictive functional control, genetic algorithm, and particle swarm optimization-based versions in terms of four performance indices.

scholarly journals Improved predictive functional control for ethylene cracking furnace

2019 ◽  
Vol 52 (5-6) ◽  
pp. 526-539
Author(s):  
Han Song ◽  
Cheng-li Su ◽  
Hui-yuan Shi ◽  
Ping Li ◽  
Jiang-tao Cao
Keyword(s):  
Control System ◽  
State Space ◽  
Control Method ◽  
Balance Control ◽  
State Space Model ◽  
Industrial Process ◽  
Outlet Temperature ◽  
Extended State ◽  
Predictive Functional Control ◽  
Functional Control

The objective of this paper is to show the design and application of pass temperature balance control system using an improved predictive functional control method in eight 800 tone/year USC ethylene cracking furnaces. The advanced pass temperature balance controller is developed using the proposed method and implemented in proprietary APC-ISYS software, which is connected to Yokogawa distributed control system via an OPC server. The advantage of it lies in the fact that the dynamics of pass temperature with nonlinearity and time delay are described by Takagi–Sugeno model and transformed into time-varying extended state space model, and thus, the proposed controller can regulate pass temperature based on the extended state space formulation. In addition, the control law with a linear iterative form, easily applied to industrial process, is derived. The robust analysis for the set point, input disturbance and output disturbance to the output verifies the ability of tracking and disturbance rejection of the proposed method. Application results from an industrial furnace are shown to be markedly better in terms of lower variability in the outlet temperature of both the passes compared to the current proportional–integral–derivative control scheme.

scholarly journals Implementation of a PID Type Sliding-Mode Controller Design Based on Fractional Order Calculus for Industrial Process System

2021 ◽  
Vol 27 (6) ◽  
pp. 4-10
Author(s):  
Kagan Koray Ayten ◽  
Ahmet Dumlu
Keyword(s):  
Fractional Order ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Industrial Process ◽  
Liquid Level ◽  
Dramatic Improvement ◽  
Reference Trajectory ◽  
Process System ◽  
The Individual

This paper is devoted to designing a fractional order Proportional Integral Derivative (PID) type sliding mode control method (FO-PIDSMC) for a non-linear liquid level coupled tank process system. By considering the individual advantages of the FO calculus and PID type SMC method, this proposed FO-PIDSMC technique is designed to integrate the FO calculus method with PID type SMC scheme to obtain an accurate and robust liquid level tracking in terms of the predefined reference trajectory. The real-time experimental results of the proposed controller suggest a dramatic improvement over the traditional process system controller methods in both trajectory tracking and required control action.

CONTROL SYSTEM SYNTHESIS FOR THE ETHYLBENZENE DEHYDROGENATION PROCESS BASED ON THE PREDICTIVE FUNCTIONAL CONTROL METHOD

2021 ◽  
pp. 7-14
Author(s):  
С.Л. Подвальный ◽  
А.П. Попов ◽  
С.Г. Тихомиров ◽  
О.Г. Неизвестный
Keyword(s):  
Control System ◽  
System Analysis ◽  
Dynamic Models ◽  
Control Method ◽  
Reaction Medium ◽  
Automated System ◽  
Process Equipment ◽  
Catalytic Layer ◽  
Predictive Functional Control ◽  
Functional Control

Описывается применение метода предиктивного управления при синтезе автоматизированной системы программного управления производством стирола. На основе результатов системного анализа объекта управления обоснован способ управления технологическим процессом, проведены обзор и оценка возможности использования различных видов регулирующих устройств. В рамках концепции модельно-ориентированного проектирования синтезирована автоматизированная система, реализующая предсказательное функциональное управление (Predictive functional control (PFC)) концентрацией стирола на выходе из первой ступени реакторного блока. Выполнен структурный синтез и разработан алгоритм функционирования управляющей системы. В качестве структурного элемента, выполняющего построение прогнозной траектории изменения управляющего и управляемого параметров, использован комплекс динамических моделей, описывающих теплообменные процессы и физико-химические превращения, протекающие в исследуемой системе. Расчет оптимального значения управляющего воздействия производился с учетом инерционности технологического оборудования, параметров состояния каталитического слоя реактора, энергетических потоков и компонентов реакционной среды в соответствии со сформированным комплексным интегральным критерием энергоэффективности процесса при одновременном обеспечении максимальной производительности. Приведен сравнительный анализ результатов расчета переходных процессов по основному каналу системы управления, полученных при использовании регулятора ПИД-структуры и управляющего устройства, реализующего метод PFC-управления The article describes the application of the predictive control method in the synthesis of an automated system for software control of styrene production. Based on the results of the object system analysis, the method of process control is justified, the review and evaluation of the possibility of using various types of control devices is carried out. Within the framework of the model-oriented design concept, an automated system is synthesized that implements predictive functional control (PFC) of the concentration of styrene at the outlet of the reactor unit first stage. A structural synthesis was performed, and the control system operation algorithm was developed. A set of dynamic models describing heat exchange processes and physical and chemical transformations occurring in the system under study is used as a structural element that performs the construction of a predictive trajectory of changes in the controlling and controlled parameters. The calculation of the optimal value of the control action was carried out taking into account the inertia of the process equipment, the parameters of the state of the catalytic layer of the reactor, energy flows and components of the reaction medium in accordance with the formed complex integral criterion of the energy efficiency of the process while ensuring maximum productivity. A comparative analysis of the results of calculating transient processes for the main channel of the control system, obtained using a PID structure controller and a control device that implements the PFC control method

Adaptive actuator failure compensation for uncertain nonlinear fractional order strict feedback form systems

2018 ◽  
Vol 41 (4) ◽  
pp. 1032-1044 ◽  
Author(s):  
Bijan Hashtarkhani ◽  
Mohammad Javad Khosrowjerdi
Keyword(s):  
Fractional Order ◽  
Closed Loop ◽  
Control Method ◽  
State Feedback Control ◽  
Actuator Failure ◽  
Feedback Form ◽  
Actuator Failures ◽  
Output Tracking ◽  
Actuator Failure Compensation ◽  
Strict Feedback

In this paper, adaptive fractional control design is established for uncertain nonlinear fractional order strict feedback form systems with unknown actuator failures. The fractional actuator failure compensation problem is considered in the sense of two actuation shapes, and output matching conditions for these shapes are employed. By means of a fractional backstepping control method, two fractional adaptive state feedback control laws are designed to accomplish output tracking and to guarantee closed-loop stability in the presence of unknown actuator failures and unknown system parameters. A fractional order filter is proposed to avoid the problem of computational explosion of the backstepping design. The stability is proved via fractional order analysis method for the whole closed-loop system. Finally, simulation results for the control of fractional Chua’s circuit and fractional Genesio–Tesi systems demonstrate the effectiveness of the proposed actuator failure compensation method and output tracking property along with fast convergence of unknown parameters estimations.

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