Design Of Hybrid Control Systems Research Articles

Solar Energy Hybrid Control System Design Photovoltaic Using Fuzzy Logic Controller

Design of hybrid control system of solar energy and State Electricity Company electrical energy using fuzzy logic controller aimed to set the time switch control with State Electricity Company electrical energy. The control system uses fuzzy logic to control when the dynamic load is supplied by the solar array and when supplied by a source of electricity. Input of fuzzy logic is the intensity of sunlight, the load current and the percentage of state of charge of the battery. The output of the fuzzy logic is a dynamic load of electricity supplied by the source. Switch on time is dependent on the three input. Results of experiments with the initial battery state of charge by 25%, switch control on at the time outside the peak load and can maintain the condition of the battery state of charge between 20-90%. Daily load changes of ± 20% does not affect the performance of the switch control (works well).

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm.

Nowadays, with the significant integration of various renewable energy, hybrid alternating current/ voltage source converter based high voltage direct current (AC/VSC-HVDC) system integrated with doubly-fed induction generator (DFIG) has achieved rapidly development in smart grid. A proper control system design for hybrid AC/VSC-HVDC system plays a very crucial role for a reliable and effective power transmission. Hence, this paper designs a novel cooperative beetle antenna search (CBAS) algorithm for optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG. Compared with original beetle antennae search (BAS) algorithm, CBAS algorithm can significantly improve searching efficiency via an efficient cooperation with a group of multiple beetles instead of a single beetle. Particularly, CBAS algorithm can effectively escape from local optimums thanks to its dynamic balance mechanism, which can maintain appropriate trade-off between global exploration and local exploitation. Moreover, three case studies are undertaken to validate the effectiveness and superiorities and effectiveness of CBAS algorithm compared against that of other traditional meta-heuristic algorithms. Especially, the average results of fitness function acquired by CBAS algorithm is merely 46.05%, 41.18%, and 47.82% of that of PSO, GA, and BAS algorithm, respectively.

Optimal Design of Hybrid Control System for the Wind and Earthquake Excited Buildings

An optimal design method for a hybrid control system is proposed in this study. Unlike conventional design approach, passive and active control systems are realized as a combined system and they are simultaneously optimized considering multi-hazard excitations. From the initial design stage, a state space equation is developed including the dynamic characteristics of the both systems and multiple loading conditions. A simultaneous optimization problem is formulated by introducing a preference model and the genetic algorithm is employed in order to find the optimal distribution and capacities of the control devices. An example design for a 30-story building with an active tuned mass damper and viscous damping devices is taken into account and numerical simulations are performed. The comparative results demonstrate the effectiveness and validity of the proposed method.

Optimal design of hybrid control system for new and old neighboring buildings

New configuration of control system for optimal seismic performance of the new and old neighboring buildings is proposed in this study. For practical implementation, the proposed approach takes into account the limitations on installation of additional control system in the old existing building. The active control devices to exert large control forces are only allowed in the new building and the damper links between two buildings are limited to be minimum. In order to deal with simultaneous optimization of the device distribution and the corresponding capacities, the genetic algorithm is employed. Illustrative example for a system of 12-story new and 9-story old buildings is taken into account where typical active control system and newly-proposed control system are optimally designed for comparison purpose. The comparative results obtained from numerical simulations demonstrate that the proposed system can be a performance-efficient and cost-effective solution in reducing the contiguous buildings׳ responses under the seismic excitations.

Efficiency of active systems in controlling base‐isolated buildings subjected to near‐fault earthquakes

SUMMARYIt has been pointed out that base‐isolated structures may be vulnerable during near‐fault earthquakes and special considerations are required in the design of isolated structures in near‐fault areas. This paper investigates the efficiency of active control systems in reducing the responses of base‐isolated structures with various isolation parameters. The design of hybrid control systems using base isolation and active systems are optimized in order to accomplish different design purposes. Also for some cases, equivalent passive control systems are introduced which result in comparable responses with respect to hybrid control systems. Copyright © 2009 John Wiley & Sons, Ltd.

Generalized solutions to hybrid dynamical systems

Several recent results in the area of robust asymptotic stability of hybrid systems show that the concept of a generalized solution to a hybrid system is suitable for the analysis and design of hybrid control systems. In this paper, we show that such generalized solutions are exactly the solutions that arise when measurement noise in the system is taken into account.

Admissibility Criteria for a Hierarchical Design of Hybrid Control Systems

Many hybrid control problems of practical interest can be decomposed in a hierarchy of control objectives, where each objective refers to a particular time scale and to a particular level of measurement aggregation. It is Common engineering practice to exploit this hierarchical structure in the developnlent of ad hoc solutions to hybrid control problems that are far beyond the computational limitations of known methods for systematic hybrid system design. This paper extends a known design method to (i) benefit from hierarchical decompositions provided by engineering intuition, and to (ii) allow for a formal proof that the composition of the individual layers forms an overall solution

An invariant‐based approach to the design of hybrid control systems

In this paper, a methodology for hybrid control design is presented. The hybrid systems of interest are characterized by a feedback architecture of a continuous nonlinear plant with a discrete-event controller. The natural invariants of the continuous dynamics are used to partition the state space into regions and to synthesize simple and efficient control laws. The paper contains a complete description of the approach including a description of the hybrid control system modelling, of the invariant-based approach for the design of the partition, and of the controller synthesis methodology illustrated by examples. The implementation and optimization of the approach are also discussed. The approach presented in this paper not only describes a viable methodology to hybrid design, but also addresses fundamental issues in hybrid system theory that arise in reachability analysis and verification approaches that are based on partitions of the continuous state space. Copyright © 2001 John Wiley & Sons, Ltd.

An invariant‐based approach to the design of hybrid control systems

AbstractIn this paper, a methodology for hybrid control design is presented. The hybrid systems of interest are characterized by a feedback architecture of a continuous nonlinear plant with a discrete‐event controller. The natural invariants of the continuous dynamics are used to partition the state space into regions and to synthesize simple and efficient control laws. The paper contains a complete description of the approach including a description of the hybrid control system modelling, of the invariant‐based approach for the design of the partition, and of the controller synthesis methodology illustrated by examples. The implementation and optimization of the approach are also discussed. The approach presented in this paper not only describes a viable methodology to hybrid design, but also addresses fundamental issues in hybrid system theory that arise in reachability analysis and verification approaches that are based on partitions of the continuous state space. Copyright © 2001 John Wiley & Sons, Ltd.

Hybrid control system design using a fuzzy logic interface

A hybrid control system is proposed for regulating an unknown nonlinear plant. The interface between the continuous-state plant and the discrete-event supervisor is designed using a fuzzy logic approach. The fuzzy logic interface partitions the continuous-state space into a finite number of regions. In each region, the original unknown nonlinear plant is approximated by a fuzzy logic-based linear model, then state-feedback controllers are designed for each linear model. A high-level supervisor coordinates (mode switching) the set of closed-loop systems in a stable and safe manner. The stability of the system is studied using nonsmooth Lyapunov functions. For illustration and verification purposes, this technique has been applied to the well-known inverted pendulum balancing problem.

Design of Hybrid Control Systems Based on the Robust Pole Region Assignment Approach

The paper deals with the robust synthesis and analysis of control systems with a hybrid structure which consists of a sampled continuous process and a discrete control algorithm. A method for the design of digital controllers for processes with uncertain physical plant parameters is presented. The Robust Pole Region Assignment and the Algebraic Approach to the Output Feedback Based Pole Placement in the discrete domain are applied. The paper proposes also a new robust stability/performance criterion for hybrid systems with interval parametric uncertainties. An application example is included.

A logical DES approach to the design of hybrid control systems

Hybrid control systems, that is, systems which contain both continuous dynamics and discrete event dynamics are studied in this paper. First, a model is introduced that describes the continuous plant and discrete event controller along with an interface which connects them. A Discrete Event System (DES) automaton description is employed to describe the plant together with the interface and it is used to analyze the hybrid control system. Controllability is defined for hybrid control systems, enhancing existing DES control concepts. It is then used to obtain a controller design method for hybrid control systems.

An Invariant based Approach to the Design of Hybrid Control Systems

In this paper, a methodology for hybrid control design is presented. The hybrid systems of interest are characterized by a feedback architecture of a continuous nonlinear plant with a discrete-event controller. The natural invariants of the continuous dynamics are used to partition the state space into regions and to synthesize simple and eAEcient control laws. The paper contains a complete description of the approach including a description of the hybrid control system modeling, of the invariant based approach for the design of the partition, and of the controller synthesis methodology illustrated by examples. The implementation and optimization of the approach are also discussed. The approach presented in this paper not only describes a viable methodology to hybrid design, but also addresses fundamental issues in hybrid system theory that arise in reachability analysis and veri cation approaches that are based on partitions of the continuous state space.

A separation principle for hybrid control system design

Presented here is a method, based on automatic control system design practice, for the synthesis of hybrid control systems, controllers that contain both real-time feedback loops and logical decision-making components. In the proposed framework, the overall design task is separated into three component parts: (1) design of the real-time control loops, (2) synthesis of the decision-making logic, and (3) construction of appropriate Boolean/real-time translation routines. This is an effective partitioning of the control system design task, as shown through two examples: (1) control of a highly flexible structure and (2) a robotic manipulator control task. This framework was found to be compatible with expert system-based intelligent control systems and can employ expert system techniques when necessary or effective.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

On the supremal controllable sublanguage in the discrete-event model of nondeterministic hybrid control systems

This paper is concerned with the logical control of hybrid control systems (HCS). It is assumed that a discrete-event system (DES) plant model has already been extracted from the continuous-time plant. The problem of hybrid control system design can then be solved by applying logical DES controller synthesis techniques to the extracted DES plant. Traditional DES synthesis methods, however, are not always applicable since the extracted plant DES will often exhibit nondeterministic transitions. This paper presents an extension of certain DES controller synthesis techniques to the nondeterministic control automaton found in HCS. In particular, this paper derives a formula computing the supremal controllable sublanguage of a given specification language under the assumption that the DES plant exhibits nondeterministic transitions.

Object-oriented software design techniques for process control

This paper summarises research carried out under the above area, and examines the use of Object-Oriented (OO) design techniques and tools for the design of real-time manufacturing control systems. Such systems are likely to be applied in the manufacture of products in advanced materials. The project involves both research into the techniques and their application on real world problems. It considers systems to support the design of hybrid control systems to improve product yield and quality. Future work involving OO software development methodologies, qualitative modelling, rapid prototyping, and application of a number of control paradigms (including low-level PID, neural network and fuzzy logic) are discussed, with conclusions.