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ISA Transactions

Chouaib Chakour, Abdelhafid Benyounes, Mahmoud Boudiaf
The Principal Component Analysis (PCA) is one of the most known and used linear statistical methods for process monitoring. However, the PCA algorithm is not designed to handle the uncertainty of the sensor measurements that is represented by an interval type data. Including uncertainty of the sensors measurements in the analysis requires extending the PCA methodology to the Symbolic Data Analysis (SDA). The SDA refers to a paradigm where statistical units are described by interval-valued variables. In this regard, Symbolic Principal Component Analysis (SPCA), particularly Midpoints-Radii PCA (MRPCA) technique, is investigated for modeling and diagnosis of uncertain data...
September 14, 2018: ISA Transactions
Shaikh M Fahim, Salim Ahmed, Syed A Imtiaz
An output error optimization approach for identification of parsimonious fractional order models using multi-frequency sinusoids as input is proposed. The algorithm simultaneously estimates orders, parameters and the delay of simple models with fractional orders using the Gauss-Newton optimization approach. Optimization-based methods for fractional order model identification require evaluation of the sensitivity functions which include the logarithmic derivatives of the input signal. In the existing literature, central difference or similar methods are used to numerically calculate the Jacobian matrix due to difficulties with numerical simulation of the logarithmic derivatives...
September 14, 2018: ISA Transactions
R Sakthivel, A Parivallal, B Kaviarasan, Hosoo Lee, Yongdo Lim
This paper gives attention to the issue of finite-time leader-following consensus of nonlinear discrete-time multi-agent systems with Markov jump parameters. A robust fault-tolerant control protocol that takes the effect of time-varying actuator faults and actuator saturation into account is considered for the addressed system. The main purpose of the paper is to design a fault-tolerant controller such that the leader-following consensus of the addressed system is achieved over a prescribed finite-time interval...
September 11, 2018: ISA Transactions
R Sakthivel, S A Karthick, B Kaviarasan, Faris Alzahrani
This paper investigates the β-dissipativity-based reliable non-fragile sampled-data control problem for a class of interval type-2 (IT2) fuzzy systems. In particular, it is allowed to have randomly occurring time-varying delays in the controller design, which are modeled by Bernoulli distributed white noise sequences. Precisely, the IT2 fuzzy model and the non-fragile sampled-data controller are formulated by considering the mismatched membership functions. By constructing an appropriate Lyapunov-Krasovskii functional, a set of delay-dependent conditions is derived to guarantee that the closed-loop IT2 fuzzy system is strictly <Q,S,R>-β-dissipative...
September 11, 2018: ISA Transactions
Baokang Yan, Bin Wang, Fengxing Zhou, Weigang Li, Bo Xu
The impulse signal in large rotating machinery with damage fault is sparse, weak, coupled, and even nonperiodic in intermittent operation. To extract this complex signal is a key topic in machinery fault diagnosis. Sparse decomposition (SD) has excellent adaptability in describing arbitrary complex signals based on over-complete dictionary. However, the pursuit speed of best atom is a serious drawback. To alleviate this, a method of sparse decomposition based on time-frequency spectrum segmentation (SD-TFSS) is introduced...
September 11, 2018: ISA Transactions
Jian Yang, Zheng Lv, Hongbo Shi, Shuai Tan
For process monitoring, it's of significance to pay more attention to some performance indexes related to quality, economy or security. To this end, a novel performance monitoring method based on the prediction of the performance indexes is proposed in this paper to promote the efficiency of process monitoring. In this study, firstly, the process variables are classified into two categories according to the correlation with the performance indexes. Based on the two categories of variables, a balanced Partial Least Square algorithm is proposed by constructing an enhanced objective function to predict the performance indexes which cannot be measured online...
September 11, 2018: ISA Transactions
Tao Liu, Hongyu Tian, Shili Rong, Chongquan Zhong
To improve the heating-up control performance for industrial jacketed reactors typically involved with long input delay, a predictor-based two-degree-of-freedom (2DOF) control scheme is proposed for the heating-up process operation, based on model identification from a practical step response test. By performing a simple step test (i.e., turning on the electrical heater with certain power (e.g., 50% or 100% of the heating power) to observe the heating-up temperature response), a transfer function identification method is developed to establish an integrating type process model with time delay for describing fundamental dynamics of the heating-up response...
September 7, 2018: ISA Transactions
Lei Wang, Xiaojun Wang, Di Wu, Xiaoyu Zhang
Uncertainties, such as material dispersion, loading fluctuation and cognitive inconsistency, widely exist in active vibration control systems, and more importantly, the controller performance is generally sensitive to the parametric deviation. Thus, the uncertainty-oriented safety assessment for the controlled structure is of great significance in practical engineering. In view of the limitation of uncertain samples, a novel non-probabilistic time-variant reliability assessment (NTRA) approach, which combines the set-theoretical convex model and the first-passage method, is proposed for vibration suppression problems under the linear quadratic regulator (LQR) control scheme...
September 6, 2018: ISA Transactions
Jayati Dey, Reetam Mondal, Suman Halder
This work proposes a novel design method for generalized order lead/lag compensators. With respect to the traditional lead/lag compensator, it introduces a new parameter, β, which is a non-integer number. A new design method of the compensator is introduced in order to quantify its design parameters. Compared to its integer order counterpart, the generalized order lead compensator facilitates with the unique solution of desired design specifications with maximum phase at the desired gain cross-over frequency to achieve reshaping of the loop frequency domain characteristics...
September 5, 2018: ISA Transactions
Xiaoming Tang, Shuang Yang, Li Deng, Hongchun Qu, Jimin Yu
This paper considers model predictive control (MPC) for the linear discrete-time systems in the presence of packet loss, quantization and actuator saturation. Compared with the previous work ([45]), this paper presents an improved networked MPC approach for networked control systems (NCSs) by applying the quantization dependent Lyapunov function (QDLF) method which leads to less conservative results. The additional improvement is made by placing the heavier weighting on the system corresponding to the actual linear feedback law and choosing the relative weighting on the actual and auxiliary feedback laws which further improves the control performance over the existing method...
August 31, 2018: ISA Transactions
Xinbo Li, GeYan Zhu, Wei Gao, Haixin Sun, Guojun Liu, Yue Wu, Yaowu Shi
This article presents a novel ultrasonic array signal processing scheme for wind speed and wind direction measurement. Two ultrasonic array structures are illustrated and the corresponding array signal processing method is proposed. The statistical performance of proposed scheme, such as estimation variance and Cramer Rao Bound (CRB), is derived. The ambiguity problem for traditional uniform line array (ULA) structure is theoretically discussed. The hardware experiment results verify the feasibility of the proposed wind measurement method...
August 25, 2018: ISA Transactions
Shaoxin Sun, Huaguang Zhang, Yingchun Wang, Yuliang Cai
This paper is concerned with fault-tolerant control (FTC) for a class of nonlinear discrete-time systems. A dynamic output feedback controller is designed for Takagi-Sugeno (T-S) fuzzy systems with state and input parameter uncertainties, exogenous disturbances, measurement noise and multiple intermittent faults. Compared with the existing research results, the proposed controller has a wider application range. The stability of the closed-loop systems is guaranteed by H∞ performance and sufficient conditions are proposed for the considered system with multiple sensor faults, multiple actuator faults, multiple sensor and actuator faults, respectively, by solving linear matrix inequalities (LMIs)...
August 22, 2018: ISA Transactions
Miao Yu, Jianchang Liu, Honghai Wang
A novel method for nuclear norm subspace identification of continuous-time stochastic systems based on distribution theory is proposed. The time-derivative problem of the system is solved by using random distribution theory, which is the key to obtain the input-output algebraic equation in the time-domain. Due to the fact that the system encounters the stochastic noise, we design a Kalman filter to achieve the state estimation and noise reduction. Nuclear norm minimization is constructed to optimize the system order in the process of subspace identification...
August 21, 2018: ISA Transactions
A R Laware, D B Talange, V S Bandal
This paper accords the level control of single-input-single-output (SISO) level control system based on the fusion of sliding mode control (SMC) and evolutionary techniques or bio-inspired techniques. The non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO) are considered as two evolutionary techniques. Here, a comparative analysis of performances of an optimal proportional-integral (PI) controller, proportional-integral-derivative (PID) controller, conventional SMC, NSGA-II based tuned SMC and SMC parameter tuning using MOPSO algorithm has been carried out through MATLAB/SIMULINK...
August 17, 2018: ISA Transactions
Bosen Lian, Qingling Zhang, Jinna Li
This paper investigates sliding mode control combined with sampling rate control for networked control systems subject to packet disordering via Markov chain prediction. The main objectives of the proposed method are to predict the probability of the occurrence of packet disordering when packet disordering is unknown in the networks, to control sampling rate to restrain heavy packet disordering, and to stabilize the Markovian jump system with variable parameters by sliding mode techniques. Firstly, an argument system with sampling rate and a plant state is established...
August 17, 2018: ISA Transactions
Jingliang Sun, Chunsheng Liu
In this paper, an adaptive predictive optimal control scheme for a class of block strict-feedback nonlinear systems is proposed by integrating the adaptive dynamic programming (ADP) technique, predictive control and backstepping method. The basic idea is that designing the virtual and actual controls of backstepping is the optimized solutions of corresponding subsystems. Firstly, the virtual control input is derived for the subsystem by utilizing ADP technique, in which a critic neural network (NN) is constructed to approximate the solution of the associated Hamilton-Jacobi-Bellman (HJB) equation...
August 17, 2018: ISA Transactions
Yogendra Arya
Automatic generation control (AGC) executes a vital role to supply quality power in an interconnected power system. To cultivate good quality of power supply via preserving area frequency and tie-line power oscillations following consumer's load demand disturbances, the controller designed for AGC of power system should display excellent disturbance rejection expertise. Hence, in this paper, a maiden attempt is made to propose a fuzzy aided integer order proportional integral derivative with filter-fractional order integral (FPIDN-FOI) controller for AGC of multi-area power systems...
August 16, 2018: ISA Transactions
Bhanu Pratap Soni, Akash Saxena, Vikas Gupta, S L Surana
Identification of transient stability state in real-time and maintaining stability through preventive control technology are challenging tasks for a large power system while integrating deregulation constraints. Widely employment of the phasor measurement units (PMUs) in a power system and development of wide area management systems (WAMS) give relaxation to monitoring, measurement and control hurdles. This paper focuses on two research objectives; the first is transient stability assessment (TSA) and second is selection of the appropriate member for the control operation in unstable operating scenario...
August 14, 2018: ISA Transactions
Yu Tang, Zhencai Zhu, Gang Shen, Shixiong Xia, Xiang Li, Yunjie Sa, Guangchao Rui
Electro-hydraulic shake table (EHST), also known as earthquake simulator, is of considerable significance in civil engineering for evaluating structures or infrastructures subjected to earthquake ground motions. However, reproduction of prescribed accelerations at table for EHST systems remains to be imperfect as the whole systems are confronted with hydraulic nonlinearity, varying dynamics, unexpected disturbance, etc. For enhancing the acceleration tracking performance of EHST systems, an acceleration waveform reproduction strategy using offline designed parametric feedforward compensator (PFC) and online functional link adaptive controller (FLAC) is proposed in this paper...
August 14, 2018: ISA Transactions
Wanqing Zhang, Wanchun Chen, Wenbin Yu
To steer a hypersonic vehicle of high Lift-to-Drag ratio (L/D) safely and accurately, a new entry guidance is proposed based on drag-vs-energy profile. Over the rotating Earth, by assessing the nonlinear inertial forces reasonably, an accurate analytical glide-range formula is derived for formulaic drag profile. Then the reference drag-vs-energy profile is planned by utilizing the new formula in the entry corridor satisfying stress and thermal constraints. In order to closely track the reference profile, the Trajectory Damping Control Technique (TDCT) is adopted to suppress the underdamped, phugoid trajectory oscillations...
August 14, 2018: ISA Transactions
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