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PI and PID controller tuning for an automotive application using backtracking search optimization algorithms

PI and PID controller tuning for an automotive application u...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Radu-Emil Precup Alexandra-Dina Balint Emil M. Petriu Mircea-Bogdan Radac Emil-Ioan Voisan Dept. of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper proposes the optimal tuning of the parameters of PI and PID controllers for an automotive application by Backtracking Search Optimization Algorithms (BSOAs). The automotive application is related to the position control of pancake DC torque motor systems. The effects of the population size, which is an important parameter of BSOAs, on the performance of both the BSOAs and the position control system are discussed using simulation results.

关键词： control systems Tuning Optimization Linear programming Sociology Statistics Automotive applications

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Biomimetic Hybrid Feedback Feedforword Adaptive Neural control of Robotic Arms 4

Biomimetic Hybrid Feedback Feedforword Adaptive Neural Contr...

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ieee symposium on computational intelligence in control and automation (cica)

作者： Pan, Yongping Yu, Haoyong Natl Univ Singapore Dept Biomed Engn Singapore 117575 Singapore

ISBN: (纸本)9781479945306

This paper presents a biomimetic hybrid feedback feedforword (HFF) adaptive neural control for a class of robotic arms. The control structure includes a proportional-derivative feedback term and an adaptive neural network (NN) feedforword term, which mimics the human motor learning and control mechanism. Semiglobal asymptotic stability of the closed-loop system is established by the Lyapunov synthesis. The major difference of the proposed design from the traditional feedback adaptive approximation-based control (AAC) design is that only desired outputs, rather than both tracking errors and desired outputs, are applied as NN inputs. Such a slight difference leads to several attractive properties, including the convenient NN design, the decrease of the number of NN inputs, and semiglobal asymptotic stability dominated by control gains. Compared with previous HFF-AAC approaches, the proposed approach has two unique features: 1) all above attractive properties are achieved by a much simpler control scheme;2) the bounds of plant uncertainties are not required to be known. Simulation results have verified the effectiveness and superiority of this approach.

关键词： Adaptive control neural network robotic manipulator feedforword control human motor learning control

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Model predictive control of a mechatronic system with variable inputs

Model predictive control of a mechatronic system with variab...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Alexandra-Iulia Stînean Stefan Preitl Radu-Emil Precup Claudia-Adina Bojan-Dragos Dept. of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania Universitatea Politehnica din Timisoara Timisoara RO

The mechatronic system with variable parameters operating under varying conditions discussed in this paper refers to an electric drive system for winding a strip with constant linear velocity on a drum. The continuously variation of the plant inputs, namely reference and load disturbance, is determined by the increasing radius and hence moment of inertia of the drum. This paper suggests a conventional control structure with a model predictive controller using a detailed mathematical model of the plant. This structure is advantageous due to its simplicity, straightforward formulation and simple design.

关键词： Strips Mechatronics Windings Resistance Simulation Force Predictive control

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Neural Network Fitting for Input-Output Manifolds of Online control Laws in Constrained Linear Systems 4

Neural Network Fitting for Input-Output Manifolds of Online ...

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ieee symposium on computational intelligence in control and automation (cica)

作者： do Carmo, Samronne N. de Almeida, Marconi O. de Castro, Flavio A. Campos, Rafael F. R. Araujo, Jose M. Dorea, Carlos E. T. Inst Fed Educ Ciencia & Tecnol Bahia Dept Automacao & Sistemas BR-40301015 Salvador BA Brazil Univ Fed Rio Grande do Norte Ctr Tecnol Dept Engn Comp & Automacao BR-59078900 Lagoa Nova Natal RN Brazil

ISBN: (纸本)9781479945306

control techniques for systems with constraints on control and state are somewhat attractive, mainly in cases where these constraints represent safety or critical points of operation. An important approach for control of constrained linear systems is based on the concept of set invariance, whose main advantages are the inclusion of constraints in the whole design, the non-conservative nature of the controllers and the ability to cope with noise measurement and disturbance entering in the system. Some disadvantage are a possibly high complexity of the control law for higher order systems or the absence of an analytical, off-line control law in some cases, as, for instance, in the output feedback case. The online computation of the control input at each step is ever possible, but the computational cost involved may turn the solution impracticable in the case of systems with fast dynamics. Neural networks, on the other hand, is an interesting alternative for function approximation, and works well in capturing the characteristics of the input-output manifold of the online control law, starting from a training set generated by simulation of the control system. In this paper, neural networks are applied to substitute in an efficient way the online control computation. A real case based example is used to verify the effectiveness of the proposed neural controller.

关键词： feedback function approximation linear systems neurocontrollers constrained linear system input-output manifold neural network fitting noise measurement online control law set invariance computational modeling Manifolds Neural networks Noise Output feedback Runtime function approximation Linear system Noise measurement Manifolds Output feedback Neurocontrollers Neural network Runtime control law computational modeling Noise Feedback

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Adaptive Dynamic Output Feedback control of Takagi-Sugeno Fuzzy Systems with Immeasurable Premise Variables and Disturbance 4

Adaptive Dynamic Output Feedback Control of Takagi-Sugeno Fu...

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ieee symposium on computational intelligence in control and automation (cica)

作者： Thumati, Balaje T. Salour, Al Boeing Co Seattle WA 98108 USA Boeing Co St Louis MO 63134 USA

ISBN: (纸本)9781479945306

Unlike in the literature, premise variables of the Takagi-Sugeno (TS) fuzzy system is assumed to be not measurable, and an adaptive output feedback control law is designed for the given system. Additionally, the system under investigation is considered to be subjected with both parameteric uncertainty and disturbance. Unlike other control designs, the bound on parameter uncertainty term is relaxed. Further, the adaptive control law utilizes estimated premise variables and online approximator. Note only one approximator is used to estimate both the parameter uncertainty and disturbance. Therefore, the proposed control design is simplified. This control design is guaranteed to render a stable closed loop TS fuzzy system. Detailed analytical results using Lyapunov theory are presented to guarantee stability. Finally, a simulation example is used to illustrate the performance of the proposed adaptive output feedback control law.

关键词： Lyapunov methods adaptive control approximation theory closed loop systems control system synthesis feedback fuzzy control stability uncertain systems Lyapunov theory TS fuzzy system Takagi-Sugeno fuzzy system adaptive dynamic output feedback control closed loop system online approximator parametric disturbance parametric uncertainty stability system Approximation methods control design Equations Fuzzy systems Output feedback Uncertain systems Uncertainty Fuzzy systems Closed loop systems uncertain systems design control control system synthesis Output Feedback control Lyapunov methods Approximation method Approximation Theory adaptive control Output feedback Fuzzy control Dynamic output feedback control disturbance parameter uncertainty

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Classical PID versus predictive control solutions for a galvanometer-based scanner

Classical PID versus predictive control solutions for a galv...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Corina Anca Mnerie Stefan Preitl Virgil-Florin Duma Faculty of Engineering “Aurel Vlaicu” University Arad Romania “Politehnica” University of Timisoara Romania Dept. of Automation and Applied Informatics “Politehnica” University of Timisoara Timisoara Romania Faculty of Physics West University of Timisoara Timisoara Romania

The galvanometer-based scanners (GS) are oscillatory optical systems utilized in high-end biomedical technologies. From a control point-of-view the GSs are mechatronic systems (mainly positioning servo-systems) built usually in a close loop structure and controlled by different control algorithms. The paper presents a Model based Predictive control (MPC) solution for the mobile equipment (moving magnet and galvomirror) of a GS. The development of a high-performance control solution is based to a basic closed loop GS which consists of a PD-L1 controller and a servomotor. The mathematical model (MM) and the parameters of the basic construction are identified using a theoretical approach followed by an experimental identification. The equipment is used in our laboratory for better dynamical performances for biomedical imaging systems. The control solutions proposed are supported by simulations carried out in Matlab/Simulink.

关键词： Biomedical optical imaging Optical imaging Predictive control Mathematical model Prediction algorithms Polynomials Mirrors

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Regression methods used for the determination of induction generator efficiency

Regression methods used for the determination of induction g...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Iosif Szeidert Ioan Filip Octavian Prostean Cristian Vasar Department of Automation and Applied Informatics Politehnica University Timisoara Timisoara Romania

The paper presents issues regarding the usage of regression functions for the determination of a dual fed induction generator's efficiency. The authors studied the case of regression function of one, respectively of two independent variables. The preliminary data were obtained through measurements performed on an experimental laboratory setup constituted from a dual fed special type constructive induction generator driven by an induction machine in motor regime. There are presented the results of several regression functions both of one (frequency) and of two variables (frequency and current). There are stated conclusions regarding the obtained results and the suitability of using them in the context of planning control and maximum power point tracking strategies applied in the case of hybrid electrical energy conversion systems - wind/solar/hydro micro grids.

关键词： Induction generators Planning computational modeling Maximum power point trackers Mathematical model Informatics

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SOFC for TS fuzzy systems: Less Conservative and Local Stabilization Conditions 4

SOFC for TS fuzzy systems: Less Conservative and Local Stabi...

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ieee symposium on computational intelligence in control and automation (cica)

作者： Mozelli, L. A. Souza, F. O. Mendes, E. M. A. M. Univ Fed Sao Joao del Rei UFSJ CELTA Ctr Studies Elect Engn & Automat Rod MG 443Km 7 BR-36420000 Ouro Branco MG Brazil Univ Fed Minas Gerais Dept Elect Engn BR-31270010 Belo Horizonte MG Brazil

ISBN: (纸本)9781479945306

The static output feedback control (SOFC) for Takagi-Sugeno (TS) fuzzy systems is addressed in this paper. Based on Lyapunov theory the proposed methods are formulated as Linear Matrix Inequalities (LMIs). To obtain less conservative conditions the properties of membership functions time-derivative are explored. Wiht this new methodology SOFC with higher H-infinity attenuation level can be designed. Moreover, the method is extended to local stabilization using the concepts of invariant ellipsoids and regions of stability. These local conditions overcome some difficulties associated with estimating bounds for the time-derivative of the membership functions. Examples are given to illustrate the merits of the proposed approaches.

关键词： H∞ control Lyapunov methods feedback fuzzy control fuzzy systems linear matrix inequalities stability H∞ attenuation level LMI Lyapunov theory SOFC TS fuzzy system Takagi-Sugeno fuzzy system invariant ellipsoids less conservative conditions local stabilization conditions membership functions time-derivative properties stability regions static output feedback control Asymptotic stability Attenuation Indexes Numerical models Stability analysis Vectors Fuzzy systems Lyapunov methods linear matrix inequalities Solid oxide fuel cells Fuzzy control asymptotic stability region numerical models Interim Local Management Interface Stability analysis Output Feedback control local stability Feedback Attenuation Attenuation

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator 4

Improved multiobjective particle swarm optimization for desi...

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4th ieee symposium on computational intelligence in control and automation, cica 2014

作者： Pierezan, Juliano Ayala, Helon H. V. Da Cruz, Luciano F. Freire, Roberto Z. Dos S. Coelho, Leandro Federal University of Parana- UFPR Electrical Engineering Graduate Program - PPGEE Curitiba Brazil Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba Brazil

ISBN: (纸本)9781479945313

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements. © 2014 ieee.

关键词： Three term control systems

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Bidirectional flyback inverter with low output voltage THD

Bidirectional flyback inverter with low output voltage THD

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Gheorghe-Daniel Andreescu Octavian Cornea Nicolae Muntean Emil Guran Automation and Applied Informatics Department Politehnica University of Timisoara Timisoara Romania Electrical Engineering Department Politehnica University of Timisoara Timisoara Romania

This paper develops a single-phase voltage source inverter mainly containing a high frequency flyback bidirectional DC-DC converter - as a previous stage, and a full-bridge module. The flyback bidirectional converter generates a rectified sinusoidal voltage waveform across the output capacitor. The full bridge transistors switch two times in one AC period in order to transform the output capacitor voltage in an AC waveform. The converter ensures also galvanic insulation between input and output, and a possible high conversion voltage ratio given by transformer. A state-space averaging model for the proposed converter was used for stability analysis and to design a tracking controller for output capacitor voltage. Digital simulations validate inverter proper operations and a low output voltage THD value.

关键词： Inverters Capacitors Voltage control Stability analysis Integrated circuit modeling Transfer functions Mathematical model

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