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Tree physiology optimization on SISO and MIMO PID control tuning

NEURAL COMPUTING & APPLICATIONS 2019年第11期31卷 7571-7581页

作者： Halim, A. Hanif Ismail, I. Univ Teknol PETRONAS Elect & Elect Engn Dept Tronoh 31750 Perak Malaysia

The tuning of proportional-integral-derivative (PID) controller is essential for any control application in order to ensure the best performance by step change or disturbance. This paper presents the tuning of PID controller for single-input single-output (SISO) and multiple-input multiple-output (MIMO) control systems using tree physiology optimization (TPO). TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). The basic principle of TM simplifies the plant growth into shoots and roots part. The plant shoots grow towards sunlight with the help of nutrients supplied by the root system in order to undergo photosynthesis process, a process of converting light photon into carbon. The carbon gain from the shoots extension will be supplied to the root system in order for the root to grow and search for water plus nutrients. As a result, the nutrients are supplied upwards towards shoot system for further extension. This concept runs iteratively in order to ensure optimum plant growth. The iterative search of shoot towards better light supported by the root counterparts leads to an optimization idea of TPO algorithm. TPO also has a unique exploration strategy due to its multiple branches and shoots that can be defined by user. This concept may improve the search mechanism with a better trade-off between diversification and intensification search. A simulation of SISO control system and an industrial application of MIMO control are applied to demonstrate the effectiveness of the proposed algorithm and compared with other optimization methods such as particle swarm optimization, Ziegler-Nichols, Tyreus-Luyben and Chien-Hrones-Reswick methods. The results clearly exhibit the capability of TPO algorithm towards finding the optimum PID parameters for SISO and MIMO process with faster settling time and better performance with respect to other methods.

关键词： single-input single-output Multiple-input multiple-output Tree physiology optimization Particle swarm optimization Ziegler-Nichols Tyreus-Luyben Chien-Hrones-Reswick

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An efficiency comparative analysis of isolated multi-source grid-connected PV generation systems based on a HF-link micro-inverter approach

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SOLAR ENERGY 2016年 127卷 239-249页

作者： Aganza-Torres, A. Cardenas, V. Pacas, M. Gonzalez, M. Univ Autonoma San Luis Potosi Ctr Invest & Estudios Posgrad Fac Ingn Ave Dr Manuel Nava 8 San Luis Potosi 78290 Mexico Univ Siegen Chair Power Elect & Elect Dr Holderlinstr 3 D-57068 Siegen Germany

For solar photovoltaic grid-connected generation systems, four inverter configurations are currently available in the market for different power ranges of the required system. However, a power gap exists within the lower range of the commercial power scale, particularly between micro-inverters and string inverters, leaving room for innovation and development of flexible and modular converters in this power range. This paper presents three different isolated multi-source grid-connected PV generation systems based on a single-phase high-frequency link micro-inverter scheme, to evaluate the feasibility for reducing the mentioned power gap by using higher power density systems based on a micro-inverter approach instead of derating the currently available string inverters, which are optimized for higher input voltage and power conditions compared with micro-inverters. Losses estimations, peak and weighted efficiencies are presented for Multiple-input Multiple-output, Multiple-input single-output and single-input single-output generation systems with different number of input power sources. Analysis and discussion for each system are presented, showing that a Multiple-input single output system scheme presents a feasible alternative to a higher power density converter, reducing the inverter market power gap, with attractive features for renewable energy sources such as modularity and flexibility. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Grid-connected system HF-link multi-port converter Multiple-input Multiple-output Multiple-input single-output single-input single-output Power density increase

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Model Reference Multiple-Degree-of-Freedom Adaptive Control with HONUs

Model Reference Multiple-Degree-of-Freedom Adaptive Control ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Bukovsky, Ivo Benes, Peter Vesely, Martin Pitel, Jan Gupta, Madan M. Czech Tech Univ Fac Mech Engn Dpt Inst & Cont Eng Prague Czech Republic Tech Univ Kosice Fac Mfg Technol Dpt Math Inf & Cybernet Bayerova 1 Presov Slovakia Univ Saskatchewan Coll Engn Intelligent Syst Res Lab Saskatoon SK Canada

ISBN: (纸本)9781509006199

This paper presents a modification of reference-model adaptive control with a layered network of higher-order neural units (HONUs) as adaptive state-feedback controllers. The degree of freedom of such neural controller is deemed here as the number of applied HONUs of a customizable polynomial order and as of their individually customizable input vectors. Furthermore, the control scheme is enhanced because potentially occurring disturbances of controlled variable can result in that the sample-by-sample adapted controllers may tend to adaptively force the plant output to merely follow the reference model output because input data are affected by the error of disturbance, while the overall control loop dynamics would be more accurately adapted if no perturbation occurs or if the reference model is actuated with actually measured variables. Furthermore, the controller weight updates usually involve some step-delayed computations that might be in fact recalculated with the latest updated weights, so the controller learning can be improved.

关键词： model reference adaptive control reference-model adaptive control multiple degree of freedom controller higher-order neural units single-input single-output

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Model Reference Multiple-Degree-of-Freedom Adaptive Control with HONUs

Model Reference Multiple-Degree-of-Freedom Adaptive Control ...

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International Joint Conference on Neural Networks

作者： Ivo Bukovsky Peter Benes Martin Vesely Jan Pitel Madan M. Gupta Dpt. of Inst. and Cont. Eng. Faculty of Mechanical Engineering Czech Technical University in Prague Technical University of Kosice Faculty of Manufacturing Technologies Dpt. of Math. Inf. and Cybernetics Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan

ISBN: (纸本)9781509006212

关键词： Model reference adaptive control Reference-model Adaptive control Multiple degree of freedom controller Higher-order neural units single-input single-output model reference adaptive control adaptive control reference model single input single output systems Controllers hierarchical network control variable Model reference Degree of freedom

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BER analysis of BPSK-SIM-based SISO and MIMO FSO systems in strong turbulence with pointing errors

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OPTIK 2014年第21期125卷 6413-6417页

作者： Prabu, K. Kumar, D. Sriram Malekian, Reza Natl Inst Technol Dept Elect & Commun Engn Tiruchirappalli 620015 Tamil Nadu India Univ Pretoria Dept Elect Elect & Comp Engn ZA-0002 Pretoria South Africa

Free space optics (FSO) is one of the sprouting technologies in optical communication systems domain. It can be employed as an alternative for the conventional radio frequency (RF) links to work out the current limitations in communication systems. But, the major drawback in FSO communication is the effect of random environment conditions on its performance. In this paper, we analyze the bit error rate (BER) and outage performance of single-input single-output (SISO) and multiple-input multiple-output (MIMO) FSO systems in strong atmospheric turbulence using binary phase shift keying subcarrier intensity modulation (BPSK-SIM) signaling technique. The closed-form expressions are derived and the results are realized in terms of 2D and 3D plots. (C) 2014 Elsevier GmbH. All rights reserved.

关键词： Free space optics Bit error rate Outage probability single-input single-output Multiple-input multiple-output

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A Very Tight Approximation of the SISO Energy Efficiency-Spectral Efficiency Trade-Off

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IEEE COMMUNICATIONS LETTERS 2012年第6期16卷 850-853页

作者： Heliot, Fabien Imran, Muhammad Ali Tafazolli, Rahim Univ Surrey FEPS Ctr Commun Syst Res Guildford GU2 7XH Surrey England

Beside the well-established spectral-efficiency (SE), energy-efficiency (EE) is currently becoming an important performance evaluation metric, which in turn makes the EE-SE trade-off as a prominent criterion for efficiently designing future communication systems. In this letter, we propose a very tight closed-form approximation (CFA) of this trade-off over the single-input single-output (SISO) Rayleigh flat fading channel. We first derive an improved approximation of the SISO ergodic capacity by means of a parametric function and then utilize it for obtaining our novel EE-SE trade-off CFA, which is also generalized for the symmetric multi-input multi-output channel. We compare our CFA with existing CFAs and show its improved accuracy in comparison with the latter.

关键词： Energy-efficiency spectral-efficiency trade-off single-input single-output Rayleigh fading closed-form

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Robust Adaptive Fuzzy Sliding Mode Control for a Class of Perturbed Strict-Feedback Nonlinear Systems

Robust Adaptive Fuzzy Sliding Mode Control for a Class of Pe...

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2010 IEEE World Congress on Computational Intelligence

作者： Chiang, Chiang-Cheng Shih, Ming-Chieh Hwang, Chih-Lyang Tatung Univ Dept Elect Engn Taipei 104 Taiwan Tamkang Univ New Taipei 25137 Taiwan

ISBN: (纸本)9781424469208

In this paper, a robust adaptive fuzzy sliding mode controller is proposed to deal with the tracking control problem for a class of single-input single-output (SISO) perturbed strict-feedback nonlinear systems. It is known that the presence of perturbations is a very common problem in various kinds of engineering systems, and these perturbations involve unmodelled dynamics, external disturbances, and parameter variations. First, the unknown parameter vectors of strict-feedback system is on-line learned to compensate their effects. Besides the parameter variations, the upper bounds of these perturbations are often difficult to be obtained. Therefore, fuzzy logic systems and adaptive laws are applied to approximate the unknown upper bounds of the remained perturbations. In addition, the absolute minimum between the upper bound of perturbation and its learning function is updated to enhance the system performance. By introducing Lyapunov stability theorem as well as the theory of sliding mode control, not only the robust stability of the overall system can be ensured, but also good tracking performance can be obtained. Finally, an example of spring-mass-damper nonlinear system in the presence of perturbations confirms the effectiveness and the feasibility of the proposed control.

关键词： Lyapunov methods Lyapunov stability adaptive control feedback fuzzy control fuzzy logic system learning function nonlinear systems perturbed strict-feedback nonlinear system robust control robust stability single-input single-output sliding mode control spring-mass-damper nonlinear system tracking control problem variable structure systems

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Blind equalization using the IRWLS formulation of the support vector machine

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SIGNAL PROCESSING 2009年第7期89卷 1436-1445页

作者： Lazaro, Marcelino Gonzalez-Olasola, Jonathan Univ Carlos III Madrid Dept Teoria Senal & Comunicac Madrid 28911 Spain

In this paper, using a common framework, we propose, analyze, and evaluate several variants of batch algorithms for blind equalization of SISO channels. They are based on the iterative re-weighted least square (IRWLS) solution for the support vector machine (SVM). The proposed methods combine the conventional cost function of the SVM with classical error functions applied to blind equalization: Sato's and Godard's error functions are included in the penalty term of the SVM. The relationship of these batch algorithms with conventional equalization and regularization techniques is analyzed in the paper. Simulation experiments performed over a relevant set of channels show that the proposed equalization methods perform better than traditional cumulant-based methods: they require a lower number of data samples to achieve the same equalization level and convergence ratio. (c) 2009 Elsevier B.V. All rights reserved.

关键词： Blind equalization single-input single-output Support vector machine (SVM) Iterative re-weighted least square (IRWLS) Sato's error function Godard's error function

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Recursive Identification of Wiener Systems with General inputs

Recursive Identification of Wiener Systems with General Inpu...

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27th Chinese Control Conference

作者： Fang Haitao Jiang Yueping Chinese Acad Sci Key Lab Syst & Control Beijing 100190 Peoples R China

ISBN: (纸本)9787900719706

The paper concerns the identification of Wiener system consisting of a linear subsystem followed by a static nonlinearity. Based on integration by parts and Fourier transform, we give two recursive algorithms for estimating the coefficients of the linear subsystem with random inputs with possibly non-Gaussian distribution. The algorithm proposed in the paper includes the one given in Hu and Chen [2005] as a special case for the single-input single-output (SISO) systems, while for the multi-input multi-output (MIMO) systems it works in the case where there is no priori structural assumption made on nonlinearity. Two numerical examples are given to justify the theoretical analysis.

关键词： Wiener system Fourier methods Recursive estimate single-input single-output Multi-input multi-output.

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