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Superheater steam temperature control for a 300MW boiler unit with Inverse Dynamic Process Models

Superheater steam temperature control for a 300MW boiler uni...

引用

IEEE General Meeting Power& Energy Society

作者： Liangyu Ma Yongjun Lin Kwang Y. Lee Automation Department School of Control and Computer Engineering North China Electric Power University Baoding Hebei China Department of Electrical and Computer Engineering Baylor University Waco TX USA

An Inverse Dynamic Neuro-controller (IDNC) is developed to improve the superheater steam temperature control of a 300MW boiler unit. A recurrent neural network was used for building the Inverse Dynamic Process Models (IDPMs) for the superheater system. Two inverse dynamic neural network (NN) models referring to the first-stage and the second-stage water-spray attemperators are constructed separately. To achieve highly accurate approximation of the superheater system, the NN models are trained with sufficient historical data in a wide operating range, which consists of both different steady-state conditions and dynamic transients. Then the IDNCs are designed based on the well-trained IDPMs and applied to superheater steam temperature control. In order to eliminate the steady-state control error arisen by the model error, a simple feedback PID compensator is added to an inverse controller. Detailed control tests are carried out on a full-scope simulator for a 300MW coal-fired power generating unit. It is shown that the temperature control is greatly improved with the IDNCs compared to the original cascaded PID control scheme.

关键词： Artificial neural networks Inverse problems Feedforward neural networks Training Boilers Process control

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Comparison between two FPGA implementations of the particle swarm optimization algorithm for high-performance embedded applications

Comparison between two FPGA implementations of the particle ...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGPES Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424464388

Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering problems that require to find an optimal point of operation. There are several embedded applications which requires to solve online optimization problems with a high performance. However, the PSO suffers on large execution times, and this fact becomes evident when using Reduced Instruction Set computer (RISC) microprocessors in which the operational frequencies are low in comparison with the high operational frequencies of traditional personal computers (PCs). This paper compares two hardware implementations of the parallel PSO algorithm using an efficient floating-point arithmetic which perform computations with large dynamic range and high precision. The full-parallel and the partially-parallel PSO architectures allow the parallel capabilities of the PSO to be exploited in order to decrease the running time. Three well-known benchmark test functions have been used to validate the hardware architectures and a comparison in terms of cost in logic area, quality of the solution and performance is reported. In addition, a comparison of the execution time between the hardware and two C-code software implementations, based on a Intel Core Duo at 1.6GHz and a embedded Microblaze microprocessor at 50MHz, are presented. © 2010 IEEE.

关键词： Global optimization

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Underlying system using dynamic clustering and structural similarity

Underlying system using dynamic clustering and structural si...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Hernando Colina, M. Eliezer Castañeda, M. Wladimir Rodríguez, G. Carlos Parra, O. University of Pamplona Engineering Faculty Systems Engineering Department Pamplona Norte de Santander Colombia Automation and Control Department University of Andes System School Sede la Hechicera Estado Mérida Mérida Venezuela Department of Computer Engineering Faculty System School Sede la Hechicera Estado Mérida Mérida Venezuela

ISBN: (纸本)9781424469208

we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These weights are more significant than eigenvalue to develop a new technique for identifying linear system and invariants over time. We use two methods based on different areas of knowledge such as linear algebra and statistics. This paper is a conceptual proof that enriches the implementation and validity not only from point of view algorithmic likewise physic mathematical. © 2010 IEEE.

关键词： Artificial intelligence

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Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

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7th Annual International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

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Abstraction of Continuous Dynamical Systems Utilizing Lyapunov Functions

Abstraction of Continuous Dynamical Systems Utilizing Lyapun...

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2010 49th IEEE Conference on Decision and control

作者： Christoffer Sloth Rafael Wisniewski Department of Computer Science Aalborg University 9220 Aalborg East Denmark Section of Automation & Control Aalborg University 9220 Aalborg East Denmark

ISBN: (纸本)9781424477456

This paper considers the development of a method for abstracting continuous dynamical systems by timed automata. The method is based on partitioning the state space of dynamical systems with invariant sets, which form cells representing locations of the timed automata. To enable verification of the dynamical system based on the abstraction, conditions for obtaining sound, complete, and refinable abstractions are set up. It is proposed to partition the state space utilizing sub-level sets of Lyapunov functions, since they are positive invariant sets. The existence of sound abstractions for Morse-Smale systems and complete and refinable abstractions for linear systems are shown.

关键词： Automata Clocks Continuous time systems Lyapunov method Silicon Upper bound Accuracy

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A Fourier series-based adaptive sliding-mode controller for nonlinear pneumatic servo systems

A Fourier series-based adaptive sliding-mode controller for ...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Lian-Wang Lee I-Hsum Li Institute of Automation and Control National Taiwan University of Science and Technology Taiwan Department of Computer Science and Information Engineering Lee Ming Institute of Technology Taiwan

The behavior of nonlinearity and time-varying cause the pneumatic actuator systems are difficult to be controlled. This paper proposes a Fourier series-based adaptive sliding-mode controller for nonlinear pneumatic servo systems. The Fourier series-based functional approximation technique can approximate an unknown function, thus bypassing the model-based prerequisite. The learning laws for the coefficients of the Fourier-series functions are derived from a Lyapunov function to guarantee the system stability. Consequently, practical experiments on a rodless pneumatic servo system are successfully implemented with different path tracking profiles, which validates the proposed method.

关键词： Artificial neural networks Conferences Robots Fluid dynamics Trajectory

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Multiresoloution wavelet analysis based ischemic beat detection using fuzzy reasoning

Multiresoloution wavelet analysis based ischemic beat detect...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Shiva Khoshnoud Mohammad Teshnehlab Mahdi Aliyari Shoorehdeli Electrical and Computer Engineering Department Khaje Nasir Toosi University of Technology Tehran Iran Electrical and Computer Engineering Department Advanced Process Automation and Control (APAC) Khaje Nasir Toosi University of Technology Tehran Iran

In this study a new fuzzy expert system for ischemic beat detection based on interpretability is proposed. First, efficacious morphologic features which are useful in ischemia detection are extracted by wavelet analysis. Then, subtractive clustering is performed for clustering of normal patterns. Finally after creation of fuzzy system, rule reduction and optimization is employed in respect with accuracy and interpretability in order to achieve more optimized system. The fuzzy expert system is evaluated on the European Society of Cardiology (ESC) ST-T database. The results proof the medical rules that are common in detection of ischemia by physicians. Also some other rules those are not common for physicians gain medical interpretation ability is proposed.

关键词： Electrocardiography Libraries Cardiology

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Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing Robotics and automation Chirp Intelligent robots control systems Laboratories

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ℒ2- gain control of time-delay systems with actuator saturation

ℒ2- gain control of time-delay systems with actuator satura...

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International Conference on System Science and Engineering (ICSSE)

作者： M. N. Alpaslan Parlakçı Ibrahim B. Küçükdemiral Department of Computer Science Istanbul Bilgi University Dolapdere Istanbul Turkey Depart. of Control and Automation Engineering Yildiz Technical University Beşiktaş Istanbul Turkey

Disturbance attenuation problem in terms of ℒ 2- gain for continuous linear time-delay (LTD) systems with nonzero initial conditions, time-varying delays and saturating control is addressed where the disturbances acting on the system are with bounded energy. First, a group of sufficient conditions in terms of bilinear matrix inequalities (BMIs) are obtained. Then, to solve this problem, cone complementary linearization method is adopted to the problem. The proposed method utilizes convex description of nonlinear saturation phenomenon by means of convex hull of some linear feedback which leads to a few additional ellipsoidal conditions in terms of linear matrix inequalities (LMIs). The validity of the method is illustrated through some examples at the end.

关键词： Artificial neural networks Nickel

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THD reduction with grid synchronized inverter’s power injection of renewable sources

THD reduction with grid synchronized inverter’s power injec...

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International Symposium on Power Electronics, Electrical Drives, automation and Motion, SPEEDAM

作者： Péter Görbe Attila Magyar Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary Process Control Research Group Computer and Automation Research Institute Budapest Hungary

A control method for small domestic power plants using renewable energy is described in this paper. This method is not only capable of optimizing the working point of the plant but also implements active power factor correction and lowers the extant harmonic distortion in the line. The novel element in the proposed complex controller structure is the upper harmonic controller that minimizes the amplitudes of the 3rd, 5th 7th, 9th, and the 11th upper harmonic component in the output voltage. The proposed controller has been investigated by simulation in Matlab environment, and as a result, substantial improvement of the output voltage and current waveform could be achieved. Robustness of the method against nonlinear loads has also been tested.

关键词： Power factor correction Costs Power generation Voltage control Harmonic distortion Robustness Nonlinear distortion Solar power generation Power supplies Inverters

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