This paper presents the new Robust Nonlinear Fuzzy control (RNFC) problem for uncertain nonlinear systems and also presents a Takagi-Sugeno (TS) fuzzy model-based maximum power control approach. First, the maximum-pow...
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ISBN:
(纸本)9781629930824
This paper presents the new Robust Nonlinear Fuzzy control (RNFC) problem for uncertain nonlinear systems and also presents a Takagi-Sugeno (TS) fuzzy model-based maximum power control approach. First, the maximum-power-voltage-based control scheme and direct maximum power control scheme are introduced for the maximum power point tracking (MPPT). Furthermore, the MPPT robustness is also discussed to cope with varying atmosphere and system uncertainties. Second, the nonlinear system with parametric uncertainties is represented by the TS fuzzy model. Next, in order to reduce the number of measured signals, a TS fuzzy observer is established for state feedback. Then, the concept of Parallel Design Compensation (PDC) is employed to design RNFC from the TS fuzzy models. The sufficient conditions are formulated in the format of Linear Matrix Inequalities (LMIs) to obtain the observer and controller gains. The effectiveness of the proposed controller design methodology is finally demonstrated through a photovoltaic panel array to maximize the PV power.
This paper presents the design of a novel nonlinear model predictive control (NMPC) strategy using a stochastic genetic algorithm (GA) to control highly nonlinear, uncertain and complex multivariable process with sign...
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ISBN:
(纸本)9781629930824
This paper presents the design of a novel nonlinear model predictive control (NMPC) strategy using a stochastic genetic algorithm (GA) to control highly nonlinear, uncertain and complex multivariable process with significant cross coupling effects between the process input and output variables. Raw multi-input and multi-output (MIMO) data from an experimental setup were collected and analysed. Both a GA and a backpropagation gradient descent based approach known as Levenberg-Marquardt Algorithm (LMA) are employed to train artificial neural network (ANN) nonlinear model. Real time practical experimental implementation on a MIMO coupled tank system is performed and the results show the effectiveness of the strategy. The approach can easily be adapted to other industrial processes.
Climbing a flight of stairs using a wheelchair is not as simple as balancing it on two wheels. Stairs climbing involves several phases, to ensure stability and safety in an auto-mode system. The subtle design of a sta...
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ISBN:
(纸本)9781629930824
Climbing a flight of stairs using a wheelchair is not as simple as balancing it on two wheels. Stairs climbing involves several phases, to ensure stability and safety in an auto-mode system. The subtle design of a stair climbing wheelchair system consists of three main actuators;a pair of motors, one for acting on each wheel and one for seat position. The operation of the system is based on the wheel rotation by lifting and bringing the other pair of wheels over one another on the staircases and vice versa. The challenge resides in an appropriate mechanical design and implementation of robust controller for the system to guarantee stability of the overall wheelchair while performing stair ascending and descending task automatically, with an assistant-free mode. A dwi-phase fuzzy logic control is introduced in this work and evaluated through intensive visual simulation to verify the proposed control approach.
Multiple, lightweight micro-robots configured to work in a cooperative environment are considered in many applications of Non destructive testing (NDT) where they replace a single large robotic inspection system. Thei...
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ISBN:
(纸本)9781629930824
Multiple, lightweight micro-robots configured to work in a cooperative environment are considered in many applications of Non destructive testing (NDT) where they replace a single large robotic inspection system. Their main advantages over the single larger system are that they are more mobile, do not require a heavy umbilical cord and can be programmed to work in a multi-robot environment using an intelligent software agent. Effective intelligent control of these robots is very challenging because it has to be adaptable to suit different application needs. This paper reports the development of an intelligent co-ordinate control over mobile micro-robots to perform multitasking for non-destructive testing of steel plates. The knowledge based agent uses the forward chaining inference engine that enables control of robot movements on a steel plate. The path for a rectangular shaped work area has been generated by developing an algorithm that follows required robot movements for steel plate inspection. An algorithm for the division of work area for cooperating robots has also been developed. The algorithms are tested in MATLAB simulation before testing in real-time. The results show considerable improvements for the micro robots over a single large inspection robot.
Through the construction and operation of floating hydrocarbon production facilities for a range of clients worldwide, and therefore subject to differing regulatory environments, SBM Offshore has gained experience of ...
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ISBN:
(纸本)9781629930824
Through the construction and operation of floating hydrocarbon production facilities for a range of clients worldwide, and therefore subject to differing regulatory environments, SBM Offshore has gained experience of a number of different approaches to process safety. These range from full implementation of IEC61511 Functional Safety Management (FSM) to projects where the design basis does not require any application of IEC61511. Increasingly clients have imposed hybrid applications where certain specified aspects of FSM are applied. SBM Offshore operates the world's largest fleet of Floating Production Storage and Offloading vessels (FPSOs), managing around 4% of global offshore oil production. SBM is an Engineering Procurement Construction Installation and Operation (EPCIO) company, which provides the company with a unique insight into all phases of project lifecycle. This paper explores the challenges of different aspects of FSM and highlights some of the most beneficial aspects.
ITER is a large-scale nuclear fusion scientific experiment;the first to produce net energy. Its control and instrumentation will be complex, unique and challenging. Integrated and automated operation will require coor...
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ISBN:
(纸本)9781629930824
ITER is a large-scale nuclear fusion scientific experiment;the first to produce net energy. Its control and instrumentation will be complex, unique and challenging. Integrated and automated operation will require coordination of around 220 semi-autonomous plant system instrumentation & controls (I&C). The general design philosophy and architecture of the ITER I&C system is described, designed in two distinct horizontal layers;the central layer that ensures coordination and the local layer dedicated to the individual control of each plant system. Specifically, the I&C of the ITER coil power supply system is described, this system will be the main actuators to control the plasma shape and position. Unlike past and present fusion experiments operating in tens of seconds pulse mode, ITER will have plant systems operating in steady state mode with plasma pulse lengths running from a few hundred seconds to ultimately some tens of minutes. The paper highlights the challenges, techniques and strategies of the distributed control systems.
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