Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity

This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs consist of servo system processes controlled by Takagi-Sugeno-Kang proportional-integral fuzzy controllers (TSK PI-FCs). The process models have second-order dynamics with an integral component, variable parameters, a saturation, and dead-zone static nonlinearity. The sensitivity analysis employs output sensitivity functions of the sensitivity models defined with respect to the parametric variations of the processes. The GWO algorithm is used in solving the optimization problems, where the objective functions include the output sensitivity functions. GWO's motivation is based on its low-computational cost. The tuning approach is validated in an experimental case study of a position control for a laboratory nonlinear servo system, and TSK PI-FCs with a reduced process small time constant sensitivity are offered.

[1]  Bijaya K. Panigrahi,et al.  Vibration Analysis Based Interturn Fault Diagnosis in Induction Machines , 2014, IEEE Transactions on Industrial Informatics.

[2]  Dinko Osmankovic,et al.  Mobile robot navigation system based on Probabilistic Road Map (PRM) with Halton sampling of configuration space , 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).

[3]  Ren C. Luo,et al.  Multisensor Fusion-Based Concurrent Environment Mapping and Moving Object Detection for Intelligent Service Robotics , 2014, IEEE Transactions on Industrial Electronics.

[4]  Xinghuo Yu,et al.  Variable structure control of a class of uncertain systems , 2004, Autom..

[5]  Florin G. Filip.  Decision support and control for large-scale complex systems , 2007, Annu. Rev. Control..

[6]  Stefan Preitl,et al.  Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity , 2013, Inf. Sci..

[7]  Mohammad Reza Meybodi,et al.  Fish Swarm Search Algorithm: A New Algorithm for Global Optimization , 2015 .

[8]  Steven X. Ding,et al.  A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches , 2015, IEEE Transactions on Industrial Electronics.

[9]  Oscar Castillo,et al.  A review on interval type-2 fuzzy logic applications in intelligent control , 2014, Inf. Sci..

[10]  Seyed Mohammad Mirjalili.  How effective is the Grey Wolf optimizer in training multi-layer perceptrons , 2014, Applied Intelligence.

[11]  Ramon Vilanova,et al.  PI and Fuzzy Control for P-removal in Wastewater Treatment Plant , 2015, Int. J. Comput. Commun. Control.

[12]  Eneko Osaba,et al.  A migration strategy for distributed evolutionary algorithms based on stopping non-promising subpopulations: A case study on routing problems , 2015 .

[13]  Radu-Emil Precup,et al.  Grey Wolf Optimizer-Based Approach to the Tuning of Pi-Fuzzy Controllers with a Reduced Process Parametric Sensitivity , 2016 .

[14]  Fevrier Valdez,et al.  Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot , 2012, Inf. Sci..

[15]  Abdelkader Benyettou,et al.  Gray Wolf Optimizer for hyperspectral band selection , 2016, Appl. Soft Comput..

[16]  Youyong Kong,et al.  Sparse Coding-Inspired Optimal Trading System for HFT Industry , 2015, IEEE Transactions on Industrial Informatics.

[17]  Milos Manic,et al.  Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions , 2014, IEEE Transactions on Industrial Informatics.

[18]  Rabindra Kumar Sahu,et al.  A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems , 2015 .

[19]  Akhtar Kalam,et al.  Optimal PID-type fuzzy logic controller for a multi-input multi-output active magnetic bearing system , 2015, Neural Computing and Applications.

[20]  Sergio M. Savaresi,et al.  Optimal input design for direct data-driven tuning of model-reference controllers , 2013, Autom..

[21]  Imre J. Rudas,et al.  Fuzzy logic-based risk assessment framework to evaluate physiological parameters , 2015 .

[22]  Rodolfo E. Haber,et al.  A Transductive Neuro-Fuzzy Controller: Application to a Drilling Process , 2010, IEEE Transactions on Neural Networks.

[23]  Junzhi Yu,et al.  Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators , 2015, IEEE Transactions on Industrial Electronics.

[24]  Sylvie Galichet,et al.  Fuzzy controllers: synthesis and equivalences , 1995, IEEE Trans. Fuzzy Syst..

[25]  Xinghuo Yu,et al.  A general backpropagation algorithm for feedforward neural networks learning , 2002, IEEE Trans. Neural Networks.

[26]  Mohd Herwan Sulaiman,et al.  Using the gray wolf optimizer for solving optimal reactive power dispatch problem , 2015, Appl. Soft Comput..

[27]  Hao Gao,et al.  A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems , 2014, IEEE Transactions on Industrial Informatics.

[28]  Pierluigi Siano,et al.  A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies , 2015, IEEE Transactions on Industrial Electronics.

[29]  Steven X. Ding,et al.  A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches , 2015, IEEE Transactions on Industrial Electronics.

[30]  Jiahui Wang,et al.  Output-Feedback Based Sliding Mode Control for Fuzzy Systems With Actuator Saturation , 2016, IEEE Transactions on Fuzzy Systems.

[31]  Stefan Preitl,et al.  An extension of tuning relations after symmetrical optimum method for PI and PID controllers , 1999, Autom..

[32]  Radu-Emil Precup,et al.  An overview on fault diagnosis and nature-inspired optimal control of industrial process applications , 2015, Comput. Ind..

[33]  Yu Jiang,et al.  System reliability calculation based on the run-time analysis of ladder program , 2013, ESEC/FSE 2013.

[34]  Hubert Razik,et al.  Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System , 2014, IEEE Transactions on Industrial Electronics.

[35]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[36]  Xue Liu,et al.  Experimental Evaluation and Selection of Data Consistency Mechanisms for Hard Real-Time Applications on Multicore Platforms , 2014, IEEE Transactions on Industrial Informatics.

[37]  Emre Sariyildiz,et al.  Stability and Robustness of Disturbance-Observer-Based Motion Control Systems , 2019, IEEE Transactions on Industrial Electronics.

[38]  Belkacem Mahdad,et al.  Blackout risk prevention in a smart grid based flexible optimal strategy using Grey Wolf-pattern search algorithms , 2015 .

[39]  Plamen P. Angelov,et al.  Density-based averaging - A new operator for data fusion , 2013, Inf. Sci..

[40]  Jianbin Qiu,et al.  Fuzzy-Model-Based Reliable Static Output Feedback $\mathscr{H}_{\infty }$ Control of Nonlinear Hyperbolic PDE Systems , 2016, IEEE Transactions on Fuzzy Systems.

[41]  Xing Xing,et al.  Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems , 2015, IEEE Transactions on Industrial Electronics.

[42]  Vinod Khadkikar,et al.  Application of Artificial Neural Networks for Shunt Active Power Filter Control , 2014, IEEE Transactions on Industrial Informatics.

[43]  Mounir Ayadi,et al.  PID-type fuzzy logic controller tuning based on particle swarm optimization , 2012, Eng. Appl. Artif. Intell..

[44]  Yu-Shan Chen,et al.  Indoor Intelligent Mobile Robot Localization Using Fuzzy Compensation and Kalman Filter to Fuse the Data of Gyroscope and Magnetometer , 2015, IEEE Transactions on Industrial Electronics.

[45]  Guojun Dai,et al.  OppCode: Correlated Opportunistic Coding for Energy-Efficient Flooding in Wireless Sensor Networks , 2015, IEEE Transactions on Industrial Informatics.

[46]  Seyed Mohammad Mirjalili,et al.  Evolutionary population dynamics and grey wolf optimizer , 2015, Neural Computing and Applications.

[47]  Stefan Preitl,et al.  Gravitational Search Algorithms in Fuzzy Control Systems Tuning , 2011 .

[48]  Stefan Preitl,et al.  Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers , 2014, Expert Syst. Appl..

[49]  Ján Vascák,et al.  Adaptation of fuzzy cognitive maps by migration algorithms , 2012, Kybernetes.

[50]  Drago Matko,et al.  Quadrocopter Hovering Using Position-estimation Information from Inertial Sensors and a High-delay Video System , 2012, J. Intell. Robotic Syst..

[51]  Roozbeh Torkzadeh,et al.  Design of GA optimized fuzzy logic-based PID controller for the two area non-reheat thermal power system , 2013, 2013 13th Iranian Conference on Fuzzy Systems (IFSC).

[52]  Milos Manic,et al.  Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness , 2014, IEEE Transactions on Industrial Informatics.

[53]  Mo-Yuen Chow,et al.  Condition Monitoring, Diagnosis, Prognosis, and Health Management for Wind Energy Conversion Systems , 2015, IEEE Trans. Ind. Electron..

[54]  Emre Sariyildiz,et al.  Electrohydraulic Transmission System for Minimally Invasive Robotics , 2015, IEEE Transactions on Industrial Electronics.