Top PDF Disturbance rejection FOPID controller design in v-domain

Disturbance rejection FOPID controller design in v-domain

Disturbance rejection FOPID controller design in v-domain

In practical controller design, stability and performance objec- tives should be considered to reach optimal control performance that can meet requirements of real world control applications. Essentially, optimal tuning problems of controllers can be reduced to an attempt to determining the best controller coefficients in a set of stabilizing controller options. For this design strategy, the stabilization objective turns into a principal component of optimal controller design tasks. Optimal controller design efforts have widely intensified in two design domains: (i) frequency domain methods, for instance, phase margin objective of loop shaping techniques is used to ensure system stability [11–13] and (ii) time domain methods, for instance, sum of square of control error is used to obtain a stable system response [36,37] . Design opportuni- ties of these two domains are largely exploited in numerous con- troller design works, and a fresh design domain can open up new design options. In this manner, the current study presents a design framework for exploitation of the first Riemann sheet of conformal mapping s ¼ v m , which is called v -domain, for optimal fractional
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On the centrality of disturbance rejection in automatic control

On the centrality of disturbance rejection in automatic control

In terms of technologies, the new principles of disturbance rejection, as applied to address critical needs in every industry sectors, will likely lead to brand new control technologies. The new motion control technology based ADRC is but one example [28]. Finally, in terms of applications, the domain experts, once brought up to speed with the new design concepts, will see the fundamental change in not just how control is designed, but also how systems and solutions are conceived. Shinskey [1] was right in that this advanced concept of controller – rejector needs to be communicated to those at the front line of production; the hundred-fold improvement he observed in the past and the over 50% energy saving obtained recently are testaments of the power of such ideas, as do the applications summarized in [26]. To this end, the centrality of disturbance rejection and the objective of disturbance-free control should be fi rmly established in all future application researches. To answer the earlier question, these are the ideas and ideals that should be “ applied ” in future research in automatic control.
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Active Disturbance Rejection Control of Thermal Power Unit Coordinated System based on Frequency Domain Analysis

Active Disturbance Rejection Control of Thermal Power Unit Coordinated System based on Frequency Domain Analysis

For the multi-input and multi-output, strong-coupling nonlinear features of coordinated system for thermal power unit, it is difficult for traditional PID coordinated control scheme to meet the power grid demand which often participates in peak regulation and frequency modulation. In this paper, inverse Nyquist array is employed to carry out frequency domain analysis of the plant model. Then Pseudo- diagonalization is used to design the static decoupling compensation matrix of the system. Above on these, the linear active disturbance rejection controller ofevery channel in coordinated system can be designed repectively. Dynamic coupling and system unknown parts are observed by extended state observerof ADRC and is compensated to thesystem in time. The simulation tests show that the disturbance rejection results of the load and the main steam pressure for the coordinated control system under LADRC is better than that of PID control.
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Disturbance observer based control with anti-windup applied to a small fixed wing UAV for disturbance rejection

Disturbance observer based control with anti-windup applied to a small fixed wing UAV for disturbance rejection

For small UAVs, however, wind gusts present a considerably different challenge. The significant reduction in size leads to lower inertia, making small UAVs more sensitive to disturbance [5]. Moreover, a reduction in aircraft size is generally accompa- nied by a reduction in operating airspeed. This has reached a critical point for small UAVs where their operating airspeeds are of the same magnitude as the gust disturbances they are subjected to [6]. As a consequence, in gust alleviation for small UAVs, structural loads are less critical condition than flight performance. This presents a different problem of disturbance rejection, with small UAVs having very different considerations. Flight control can be gener- alised into two categories; outer loop trajectory control and inner loop attitude control. UAV trajectory track- ing in wind has been studied in literature, with a range of methods applied. Vector field guidance has demonstrated robustness to wind disturbance by util- ising ground speed and course for navigation [7]. It was shown that path planning with a known constant wind can improve mission accuracy and efficiency [8]. By using pre-computed information of aircraft turn- ing performance in wind, it has also been shown that path following in wind can be improved [9]. These methods demonstrate that using robust methods is feasible for trajectory tracking in wind. Using infor- mation of the wind improves performance further. The limitation being that accurate prior wind knowledge is not feasible, especially for gust disturbances. As small UAVs are highly affected by gusts, it should be considered in their operation. It has been shown that online estimation of steady wind can be obtained and used in trajectory following, with some ability to track variance [10]. Disturbance Observer Based Control (DOBC) augmentation has shown good per- formance in simulation and flight testing in rejecting disturbance of an unknown wind in trajectory track- ing [11]. Inner loop control for UAVs is also widely studied in literature. However, work regarding distur- bance rejection in this area is more sparse, particularly regarding external disturbances. Disturbance rejection for parameter uncertainty has been addressed by var- ious approaches including robust methods [12], Neu- ral Networks (NNs) [13], Support Vector Regression (SVR) [14] and Active Disturbance Rejection Control (ADRC) [15]. While these works were able to account
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Active disturbance rejection control of a longitudinal tunnel ventilation system

Active disturbance rejection control of a longitudinal tunnel ventilation system

Abstract: This paper proposes an innovative approach for controlling pollutant release in a long-distance tunnel via longitudinal ventilation. Enhanced by an active disturbance rejection control (ADRC) method, a ventilation controller is developed to regulate the forced air ventilation in a road tunnel. As a result, the pollutants (particulate matter and carbon monoxide) are reduced by actively regulating the air flow rate through the tunnel. The key contribution of this study lies in the development of an extended state observer that can track the system disturbance and provide the system with compensation via a nonlinear state feedback controller equipped by the ADRC. The proposed method enhances the disturbance attenuation capability in the ventilation system and keeps the pollutant concentration within the legitimate limit in the tunnel. In addition to providing a safe and clean environment for passengers, the improved tunnel ventilation can also achieve better energy saving as the air flow rate is optimized.
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Fuzzy Disturbance Rejection Control of Two Link Robot Manipulator

Fuzzy Disturbance Rejection Control of Two Link Robot Manipulator

Tables 3-5 are for the case when the shoulder endpoint acceleration is negative, and Tables 7-9 are for the case when the shoulder endpoint acceleration is positive. The central portion of the rule base where makes use of the entire output universe of discourse. This is part of the rule base where the acceleration input from the shoulder link endpoint is zero or small. As we move away from the center of the rule base (to the region where the shoulder link endpoint acceleration is large), only a small portion of the output universe of discourse is used to keep the output of the controller small.
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Adaptive Repetitive Control for Periodic Disturbance Rejection with Unknown Period

Adaptive Repetitive Control for Periodic Disturbance Rejection with Unknown Period

In this paper, a mathematical analysis was done on an RC closed-loop system. Due to the delay loop in the RC structure, for simplicity, the Pade approximation was used. In the worst case, the plant was considered unity as a full pass filter. When the period is known, the effect of RC gain and the conditions of the output system response were studied analytically. The performance was very good. It was shown that there is no need to make limitation on the amplitude of periodic disturbance. In other words, if the amplitude varies, the steady-state response which depends on RC gain decreases and the disturbance is rejected. The steady-state response was proportional to  20 log k . It was shown that the output system response is almost between  0 . 1 which is about -20dB attenuation. A novelty of this paper was adaptive FFT algorithm. An adaptive FFT algorithm was proposed for periodic disturbance rejection in different known and unknown and time-varying scenarios, and the period estimation was done accordingly.
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Active disturbance rejection control for heavy cargo airdrop operations

Active disturbance rejection control for heavy cargo airdrop operations

In view of the strong nonlinear and coupling characteristics of the airdrop operations, a novel control method is proposed based on the active disturbance rejection control (ADRC) for decoupling control strategy of the pitch angle and airspeed. The unknown disturbances, including aerodynamic uncertainty and nonlinear coupling effect between the aircraft and cargo dynamics, are estimated and compensated with the extended state observer (ESO). Meanwhile, the nonlinear law state error feedback (NLSEF) is adopted to restrain the compensation residual. Simulation and flight quality evaluation shows the satisfactory capacity and strong robustness of the proposed control method in guaranteeing the airdrop task and flight safety.
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Active Disturbance Rejection Control for Temperature Control of the HVAC System

Active Disturbance Rejection Control for Temperature Control of the HVAC System

HVAC (heating, ventilation, and air conditioning, HVAC) is a typical complex system with non-linear, strong coupling and strong disturbance influence. The study on HVAC system is significant for the energy efficiency in buildings, and its control strategies are the major concern [1] [2]. Generally, PID control me- thod is adapted in the temperature control of the zone in traditional HVAC sys- tem. The overshooting of the temperature often appears. When the special sys- tem has high requirement for the thermal and humidity of the zone, the over- How to cite this paper: Huang, C.-E., Li,
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Robust optimal design of FOPID controller for five bar linkage robot in a cyber-physical system: a new simulation-optimization approach

Robust optimal design of FOPID controller for five bar linkage robot in a cyber-physical system: a new simulation-optimization approach

rithm, we apply the PSO optimizer to search for a winner point in each sequential EI iteration. For setting the PSO parameters, the maximum iteration number is fixed 200 and the swarm is initialized with 30 particles. Notably, as we use GP surrogate instead of the true (original) sim- ulation model as an objective function in PSO, thus we don’t worry about the computational cost due to running of a true simulation model. At the end of any sequential EI iteration, the program checks the stopping rule(s). Here, we stop the EI procedure when the EI criterion becomes smaller than 0.01, or the number of sequential runs reaches 15 iterations. Also, at the end of any sequential EI iteration, two terms of the program are updated, i) the set of training sample points by adding a winner point and relevant SNR output that is computed accordingly from the original simulation model, ii) the best sample point obtained so far with the smallest SNR among all the training points and updating points. Moreover, according to an updated set of training samples, a new GP surrogate is constructed after each sequential EI iteration. It is important to note that we avoid extrapolation of GP surrogate in each sequential iteration by setting two different rules, i) we consider a death penalty for any point that is investigated by PSO and is located out of bounds of training points, ii) to estimate GP prediction error using jackknife leave-one-out approach, we only remove input combination’s rows that don’t locate on the margin of design space (see Section 3.1.5). The obtained results from the pro- posed algorithm and relevant sensitivity analysis are discussed in the following sections.
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Rejection of Sinusoidal Disturbance Approach Based on High-Gain Principle

Rejection of Sinusoidal Disturbance Approach Based on High-Gain Principle

Rejection of unknown disturbances is not new [14], but still actual problem in control [5], [7]–[13], [17], [21]–[24], [27]–[31]. This is an essential problem for many practical control applications, such as development of advanced re- search tools for nanotechnology [1] and increased density hard disks [16], where precise positioning is a critical de- mand for control system, dynamic positioning systems for vessels in the presence of waves and wind [33] etc. At the same time, in number of tasks harmonic nature of distur- bances is reasonable assumption. Using this representation we can obtain fruitful results for certain implementations.
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Design disturbance attenuating controller for memristive recurrent neural networks with mixed time varying delays

Design disturbance attenuating controller for memristive recurrent neural networks with mixed time varying delays

Remark 3.2 Recently, many scholars have studied different kinds of control theories about MRNNS such as exponential synchronization control [12], finite-time synchronization control [13], exponential lag adaptive synchronization control [18], lag synchronization control [19], and so on. However, to the best of our knowledge, there has not been any paper to discuss the disturbance attenuating controller design for MRNNs. This paper is the first one to investigate the disturbance attenuating controller for MRNNs, which is sure to strengthen the systematic research theory for MRNNs and must further enrich the basis of application for MRNNs.
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Attitude Control using a Disturbance Observer Based Controller

Attitude Control using a Disturbance Observer Based Controller

Recently, a high-order SMC technique has been employed in reentry attitude control. Sliding mode disturbance observer was used. Also, it provides a good robustness to external disturbances, model uncertainties, and different mission trajectories. But the drawback is that attitude tracking is achieved within an infinite time rather than finite time. Slow convergence rate and poor disturbance rejection performance. But, when NDI is used along with sliding mode control, advantages are increased [5]. Limited time convergence, robustness, easy implementation are some main advantages.
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II. FOPID CONTROLLERS:

II. FOPID CONTROLLERS:

The sufficient operation of inter connected power system requires matching of total load demand associated with the losses. The operating point of power - system must be stable for the efficient working of the power system. Otherwise Power system experiences deviations in normal system frequency and scheduled tie line power exchanges to the other areas, which may cause undesirable effects [1]. There are two variables of interest in power system, namely frequency and tie-line power exchange. The combination of the variations in both parameters is called area controller error. Automatic generation controller design strategies have become an emerged area of research. The main aim of automatic generation control (AGC) is to control the mismatches in the system parameters at abnormal conditions. So many investigations and efforts have been carried out to design an optimal automatic generation controller to enhance stability and security of the system. Dynamic performance of all the conventional classical Integer Order (IO) controllers [2] like Integral, Proportional plus Integral , Proportional plus Integral plus Derivative controllers etc. has been reported in the Areas of AGC [3]-
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Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique

Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique

Optimization also termed as augmentation is the procedure of creating the things more unblemished, potent and dynamic in order to acquiesce the best result. The various techniques of optimization are Nelder-Mead, Active-Set, Interior-Point, SQP (sequential quadratic programming) et cetera. Numerically it can be explained as the procedure of expanding and shrinking of the endeavor capacity relying upon various conclusion variables under a deal of restrictions. The optimization technique has been used so as to discover and attain the finest results so as to design the most accurate FOPID controller that yields the finest output and assists the plant to augment its performance.
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PAGEPAC PLUS CONTROLLER (V-5323100) AND CONTROLLER WITH POWER SUPPLY (V-5323105)

PAGEPAC PLUS CONTROLLER (V-5323100) AND CONTROLLER WITH POWER SUPPLY (V-5323105)

By selecting Computer Monitor (the default option), the system is enabled to monitor activity on Atten- dant Access, Telephone Interface, and Night Bell inputs. This feature requires that a PC computer be connected to the RS-232 port of the Controller. Whenever the input becomes active, ASCII characters will be sent out the RS-232 port (DB9 pin connector) to the computer. The ASCII characters will be inter- cepted by a special software package in the computer that logs the time, date, input zone, type of activ- ity, zone that was paged, and duration of the activity. All such input activity to the paging system can then be viewed (and recorded) on the computer.
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Multi Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem

Multi Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem

Based on a thing that it is difficult to choose the parameters of active disturbance rejection control for the non-linear ALSTOM gasifier, multi-objective optimization algorithm is applied in the choose of parameters. Simulation results show that performance tests in load change and coal quality change achieve better dynamic responses and larger scales of rejecting coal quality disturbances. The study provides an alternative to choose parameters for other control schemes of the ALSTOM gasifier.

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A Simulation and Experimental Study of Active Disturbance Rejection for Industrial Pressure Control

A Simulation and Experimental Study of Active Disturbance Rejection for Industrial Pressure Control

In this chapter, we begin with a review of the background of industrial control technology and its evolution. Control plays a vital and independent role in the engineering and sciences. Early inventions of automatic control can be traced back as far as the “South Pointing Chariot” [1] of China in 900 B.C. , shows in Fig.1.1. It is an ingenious solution to the problem of angle preserva- tion, where the figure of the wooden figure on top of the chariot always points south, its starting direction, no matter how the chariot moves and turns. The design principle of this famous invention from ancient China escaped the grasp of human being for thousands of years and it is a vivid rebuke of the common notion that technology is invented from applications of theories. Similarly, control theory did not have anything to do with the invention of the flyball governor, which brought us the Industrial Revolution and modern life style. In fact, the further developments of control technology in the 19th and 20th centuries proceeded without much contribution of control theory, covering a wide spectrum of modern industry, from manufacturing to aerospace and aeronautics, and so on. A particular sector of industrial control is process control, with which this thesis is concerned.
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Ameliorating the FOPID (PIλDμ) controller parameters for heating furnace using optimization techniques

Ameliorating the FOPID (PIλDμ) controller parameters for heating furnace using optimization techniques

When the feedback systems were being formed then the outputs demonstrated that the system now consists the properties of less power consumption, less time to heat the substances along with less overshoot. Earlier the integer order model had the settling time (time taken to heat the substance), steady state error (power consumption) and overshoot (explosion) of 1500 seconds, 50% and 0% respectively. When the PID controller was designed for the same using Cohen-Coon tuning technique and forming a feedback system it had setting time of around 800 sec. and also the steady state error was brought to 0% but the overshoot went up to 35%. Therefore FOPID controller is being designed using the concocted technique that is the amalgamation of tuning technique and optimization techniques and forming and feedback system with FOM of heating furnace, the system yielded steady state error as 0%, where the settling time have been reduced to 300 seconds and overshoot between 7%-12%.
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Robust H-infinity Controller Design Using Frequency-Domain Data

Robust H-infinity Controller Design Using Frequency-Domain Data

Hoogendijk et al. [2010] to compute the frequency response of a controller that achieves a desired closed-loop pole location. In Keel and Bhattacharyya [2008], a complete set of PID controllers is computed that guarantee a gain margin, phase margin and H∞ performance specification using frequency-domain data. This method is extended to design of fixed-order linearly parameterized controllers in Parastvand and Khosrowjerdi [2014]. A data-driven synthesis methodology for fixed structure controller design problem with H∞ performance is presented in Den Hamer et al. [2009]. This method uses the Q parameterization in the frequency domain and solves a non-convex optimiza- tion problem to find a local optimum. Another frequency- domain approach is presented in Khadraoui et al. [2013] to design reduced order controllers with guaranteed bounded error on the difference between the desired and achieved magnitude of closed-loop sensitivity functions. This ap- proach also uses a non-convex optimization method. Convex optimization is used in Karimi and Galdos [2010] to compute robust H ∞ controllers for SISO systems rep- resented by their frequency response. The H∞ robust performance constraints are convexified for linearly pa- rameterized controllers with the help of a desired open loop transfer function. Based on this method, a public domain toolbox for Matlab is developed which is available in Karimi [2013]. This approach is extended to compute decoupling controllers for MIMO systems in Galdos et al. [2010].
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