• 제목/요약/키워드: nonlinear distributed control systems

검색결과 64건 처리시간 0.028초

불확실성을 갖는 비선형 시스템의 퍼지 $H^{\infty}$ 제어기 설계 (Fuzzy $H^{\infty}$ Controller Design for Uncertain Nonlinear Systems)

  • 이갑래;정은태;박홍배
    • 전자공학회논문지S
    • /
    • 제35S권6호
    • /
    • pp.46-54
    • /
    • 1998
  • 본 논문은 파라미터 불확실성을 갖는 비선형 시스템을 안정화하며, 폐루프 시스템의 외란감쇠에 대한 $L_{2}$ 이득 제한조건을 만족시키는 견실 퍼지 $H^{\infty}$ 제어기 설계기법을 제시한다. 불확실성을 갖는 비선형 시스템을 불확실성을 갖는 Takagi-Sugeno(T-S) 모델로 표현하고 병렬 분산 보상(PDC : parallel distributed compensation)의 개념을 이용하여 제어기를 설계한다. 파라미터 불확실성을 갖는 T-S 퍼지모델에 대한 감쇠율을 만족하는 폐루프 시스템의 안정성 조건과 Lyapunov 함수를 이용하여 외란감쇠 조건을 유도하고, 선형 행렬 부등식(LMI: linear matrix inequality)을 이용하여 견실 퍼지 $H^{\infty}$ 제어기가 존재할 충분조건을 구한다. 마지막으로 불확실성을 갖는 비선형 시스템에 대한 퍼지 $H^{\infty}$ 제어기 설계 예를 보인다.

  • PDF

A novel smart criterion of grey-prediction control for practical applications

  • Z.Y. Chen;Ruei-yuan Wang;Yahui Meng;Timothy Chen
    • Smart Structures and Systems
    • /
    • 제31권1호
    • /
    • pp.69-78
    • /
    • 2023
  • The purpose of this paper is to develop a scalable grey predictive controller with unavoidable random delays. Grey prediction is proposed to solve problems caused by incorrect parameter selection and to eliminate the effects of dynamic coupling between degrees of freedom (DOFs) in nonlinear systems. To address the stability problem, this study develops an improved gray-predictive adaptive fuzzy controller, which can not only solve the implementation problem by determining the stability of the system, but also apply the Linear Matrix Inequality (LMI) law to calculate Fuzzy change parameters. Fuzzy logic controllers manipulate robotic systems to improve their control performance. The stability is proved using Lyapunov stability theorem. In this article, the authors compare different controllers and the proposed predictive controller can significantly reduce the vibration of offshore platforms while keeping the required control force within an ideal small range. This paper presents a robust fuzzy control design that uses a model-based approach to overcome the effects of modeling errors. To guarantee the asymptotic stability of large nonlinear systems with multiple lags, the stability criterion is derived from the direct Lyapunov method. Based on this criterion and a distributed control system, a set of model-based fuzzy controllers is synthesized to stabilize large-scale nonlinear systems with multiple delays.

Necessary conditions in the optimal control of nonlinear integral equations

  • Wang, Fu-Yang;Lee, In-Beum;Chang, Kun-Soo
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
    • /
    • pp.947-951
    • /
    • 1989
  • A Class of nonlinear distributed parameter control problems is first stated in a partial differential equation form in multi-index notion and then converted into an integral equation form. Necessary conditions for optimality in the form of maximum principle are then derived in Sobolev space W$^{l}$, p/(1 leq. p .leq. .inf.)..

  • PDF

An Enhanced Harmonic Voltage Compensator for General Loads in Stand-alone Distributed Generation Systems

  • Trinh, Quoc-Nam;Lee, Hong-Hee;Chun, Tae-Won
    • Journal of Power Electronics
    • /
    • 제13권6호
    • /
    • pp.1070-1079
    • /
    • 2013
  • This paper develops an enhanced harmonic voltage compensator which is implemented with the aid of two repetitive controllers (RCs) in order to improve the output voltage performance of stand-alone distributed generation (DG) systems. The proposed harmonic voltage compensator is able to maintain the DG output voltage sinusoidal regardless of the use of nonlinear and/or unbalanced loads in the load side. In addition, it can offer good steady-state performance under various types of loads and a very fast dynamic response under load variations to overcome the slow dynamic response issue of the traditional RC. The feasibility of the proposed control strategy is verified through simulations and experiments.

Intelligent Control by Immune Network Algorithm Based Auto-Weight Function Tuning

  • Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2002년도 ICCAS
    • /
    • pp.120.2-120
    • /
    • 2002
  • In this paper auto-tuning scheme of weight function in the neural networks has been suggested by immune algorithm for nonlinear process. A number of structures of the neural networks are considered as learning methods for control system. A general view is provided that they are the special cases of either the membership functions or the modification of network structure in the neural networks. On the other hand, since the immune network system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (parallel distributed processing) network to complete patterns against the environmental situation. Also. It can provi..

  • PDF

디지털 재설계를 이용한 퍼지제어기 (Fuzzy Controller by Using Digital Redesign)

  • 이호재;주영훈;박진배
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1999년도 하계학술대회 논문집 B
    • /
    • pp.630-632
    • /
    • 1999
  • In this paper, we develop intelligent digitally redesigned PAM and PWM fuzzy controllers for nonlinear systems. Takagi-Sugeno fuzzy model is used to model the nonlinear systems and a continuous-time fuzzy-model-based controller is designed based on the extended parallel-distributed-compensation method. The digital controllers are determined from existing analogue controllers. The proposed method provides an accurate and effective method for digital control of continuous·time nonlinear systems and enables us to efficiently implement a digital controller via pre-determined continuous-time TS fuzzy-model-based controller. We have applied the proposed method to the balancing problem of the inverted pendulum to show the effectiveness and feasibility of the method.

  • PDF

비선형 시스템 식별기로서의 자율분산 신경망 (Self-Organized Ditributed Networks as Identifier of Nonlinear Systems)

  • 최종수;김형석;김성중;최창호
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1995년도 하계학술대회 논문집 B
    • /
    • pp.804-806
    • /
    • 1995
  • This paper discusses Self-organized Distributed Networks(SODN) as identifier of nonlinear dynamical systems. The structure of system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. The learning with the proposed SODN is fast and precise. Such properties arc caused from the local learning mechanism. Each local networks learns only data in a subregion. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the SODN. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems.

  • PDF

비선형 PID 제어기의 최적 설계및 실제 적용 (Optimal design and real application of nonlinear PID controllers)

  • 이문용;구도균;이종민
    • 제어로봇시스템학회논문지
    • /
    • 제3권6호
    • /
    • pp.639-643
    • /
    • 1997
  • This paper presents how nonlinear PID control algorithms can be applied on chemical processes for a more stable operation and perfect automation. A pass balance controller is designed to balance the exiting temperatures of a heater and a heat exchange network. The proposed controller has gain-varying integral action and deals with the operational constraints in an efficient manner. Also, the use of a PID gap controller is proposed to maximize energy saving and operation stability and to minimize operator intervention in operation of air fan coolers. The proposed controller adjusts the opening of a louver automatically in such a way that it keeps the air fan pitch position within the desired range. All these nonlinear PID controllers have been implemented on the distributed control system (DCS) for good reliability and operability. Operator acceptance was very high and the implemented controllers have shown good performance and high service factor still now on. The proposed methodology can be directly applied to similar processes without any modification.

  • PDF

미지의 이종 비선형성을 갖는 2차 비선형 다개체 시스템의 신경 회로망 기반 일치 추종 (Neural-Network-based Consensus Tracking of Second-Order Multi-Agent Systems With Unknown Heterogeneous Nonlinearities)

  • 최윤호;유성진
    • 제어로봇시스템학회논문지
    • /
    • 제22권6호
    • /
    • pp.477-482
    • /
    • 2016
  • This paper presents a simple approximation-based design approach for consensus tracking of heterogeneous second-order nonlinear systems under a directed network. All nonlinearities of followers are assumed to be unknown and non-identical. In the controller design procedure, graph-independent error surfaces are used and an unimplementable intermediate controller for each follower is designed at the first design step. Then, by adding and subtracting a graph-based term at the second step, the actual controller for each follower is designed by using one neural network employed to estimate a lumped and distributed nonlinearity. Therefore, the proposed local controller for each follower has a simpler structure than existing approximation-based consensus tracking controllers for multi-agent systems with unmatched nonlinearities.

Aircraft and spacecraft structural analysis with hybrid criterion of smart control

  • C.C., Hung;T., Nguyen
    • Advances in aircraft and spacecraft science
    • /
    • 제9권6호
    • /
    • pp.553-569
    • /
    • 2022
  • In this article, we propose a criterion for ensuring the asymptotic stability of large multiple delays, based on the direct Lyapunov method. Based on this criterion and distributed control scheme, the controllers are synthesized by the PDC to stabilize these large-scale systems with multiple delays. And we focus on the results which shows the high effective by the proposed theory utilized for damage propagation for aircraft structural analysis of composite materials. Finally, the numerical simulations confirmed the effectiveness of the method.