There are various static var compensator configurations are available and listed in the literature. Their performances are evaluated based on their voltage support, dynamic response, losses, cost, and additional filte...
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There are various static var compensator configurations are available and listed in the literature. Their performances are evaluated based on their voltage support, dynamic response, losses, cost, and additional filter requirement, if any. In this paper, efforts are made to improve the dynamic performance parameter such as rise time, settling time, and peak overshoots. A new topology with an adaptivecontroller is presented, in which capacitor and reactor banks are divided in their binary values and connected in the shunt. Capacitor and reactor banks are operated by thyristorised switches. Both these banks are operated in closed-loop form as a cascade control. Amongst these, capacitor bank operates as coarse control, and reactor bank acts as fine control. For the performance enhancement, a model reference adaptive controller is used. The system identification toolbox is used to evaluate the mathematical model of the plant with Matlab. The model's performance was analyzed deeply by the adaptivecontroller with different referencemodels such as critical, under, and overdamped. The performance parameters such as rise time, settling time, and peak overshoot in the form of reactive power swings, are evaluated and plotted for different adaptive gains using MIT rules.
The electromagnetic suspension type high-speed maglev train guidance system is an unstable system and requires active control. When the train passes the curve or is subjected to cross wind, the vehicle body- will be g...
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ISBN:
(纸本)9781728158556
The electromagnetic suspension type high-speed maglev train guidance system is an unstable system and requires active control. When the train passes the curve or is subjected to cross wind, the vehicle body- will be greatlydisturbed. In order to ensure that the guidance control system maintains good control performance, a model reference adaptive controller is designed. First, a model of a dual electromagnet guidance system was established. The design of the current loop reduces the response delay of the electromagnet and reduces the order of the system. Based on Lyapunov stability- theory, an adaptive mechanism is designed so that the gap state of the controlled object can follow the gap state of the referencemodel. Simulation results show that the system can maintain good control performance under different disturbance dynamics.
The electromagnetic suspension type high-speed maglev train guidance system is an unstable system and requires active *** the train passes the curve or is subjected to cross wind,the vehicle body will be greatly *** o...
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The electromagnetic suspension type high-speed maglev train guidance system is an unstable system and requires active *** the train passes the curve or is subjected to cross wind,the vehicle body will be greatly *** order to ensure that the guidance control system maintains good control performance,a model reference adaptive controller is ***,a model of a dual electromagnet guidance system was *** design of the current loop reduces the response delay of the electromagnet and reduces the order of the *** on Lyapunov stability theory,an adaptive mechanism is designed so that the gap state of the controlled object can follow the gap state of the reference *** results show that the system can maintain good control performance under different disturbance dynamics.
The main aim of this paper is to propose two variants of bio-inspired algorithm, Constriction Coefficient Particle Swarm Optimization (CCPSO) and Differential Evolution (DE), which determine optimal parameters of Prop...
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The main aim of this paper is to propose two variants of bio-inspired algorithm, Constriction Coefficient Particle Swarm Optimization (CCPSO) and Differential Evolution (DE), which determine optimal parameters of Proportional-Integral-Derivative (PID) controller. To achieve this purpose, the PID controller has been plugged to the model reference adaptive controller (MRAC) that balances Inverted Pendulum (IP) with nonlinear characteristic in vertical-upright position. For comparison purpose, efficiency of these intelligent approaches to adjust MRAC parameters has been evaluated in terms of time response performance. Finally, the overall simulation results demonstrate that both the algorithms yield acceptable response in controlling the nonlinear model of IP system. However, the performance of DE algorithm is better than CCPSO in terms of transient response characteristics.
In this paper, an algorithm of a model reference adaptive controller for nonlinear systems based on Radial Basis Function (RBF) Neural Networks (NN) is proposed. An adaptive RBF NN is trained using the error between t...
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ISBN:
(纸本)9781538653050
In this paper, an algorithm of a model reference adaptive controller for nonlinear systems based on Radial Basis Function (RBF) Neural Networks (NN) is proposed. An adaptive RBF NN is trained using the error between the system response and the desired response as given by the RBF NN referencemodel. The stable controller-parameters adjustment mechanism is based on the convergence of the synaptic weights, centers and widths of the RBF network. Tuning the parameters of the RBF neural network is performed such that control error reduction and improved tracking accuracy are accomplished. The control signal obtained can make the real system close to the referencemodel. The identification and control error, with acceptable convergence speed, have been achieved in the case of third-order non-linearity.
Reactive power, which is inherently independent of stator resistance, can be used to form a model reference adaptive controller (MRAC) to estimate the rotor time constant in an indirect field orientation controlled in...
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ISBN:
(纸本)9781509012107
Reactive power, which is inherently independent of stator resistance, can be used to form a model reference adaptive controller (MRAC) to estimate the rotor time constant in an indirect field orientation controlled induction motor drive. In this paper, the steady-state reactive power error caused by rotor time constant mismatch is analyzed in detail. Then a modified reactive power model is presented based on Lyapunov's theorem. The stator frequency is incorporated in the adaptive scheme to get per-unit value of reactive power error, thus, the close convergence rate of the rotor time constant is achieved at high speeds and low speeds. Furthermore, this confirms the estimation is available in four quadrants of operation. Experimental results have verified the effectiveness of the proposed method.
Magnetic levitation system is very popular experimental hardware in control laboratory for position control of the steel ball. The presence of high nonlinearity and parameter uncertainty make it difficult to control t...
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ISBN:
(纸本)9781479974559
Magnetic levitation system is very popular experimental hardware in control laboratory for position control of the steel ball. The presence of high nonlinearity and parameter uncertainty make it difficult to control the ball position through conventional feedback controller. To overcome this problem, an adaptive proportional integral and derivative (PID) controller, based on modelreferenceadaptive control (MRAC) is proposed. The proposed controller utilizes the MIT rule for adaptation mechanism. It is applied on real time magnetic levitation educational control equipment, GML1001. The results demonstrate the effectiveness of the experimental procedure.
Magnetic levitation system is very popular experimental hardware in control laboratory for position control of the steel ball. The presence of high nonlinearity and parameter uncertainty make it difficult to control t...
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ISBN:
(纸本)9781479974566
Magnetic levitation system is very popular experimental hardware in control laboratory for position control of the steel ball. The presence of high nonlinearity and parameter uncertainty make it difficult to control the ball position through conventional feedback controller. To overcome this problem, an adaptive proportional integral and derivative (PID) controller, based on modelreferenceadaptive control (MRAC) is proposed. The proposed controller utilizes the MIT rule for adaptation mechanism. It is applied on real time magnetic levitation educational control equipment, GML1001. The results demonstrate the effectiveness of the experimental procedure.
Liquid level control has been a basic control problem in almost all process industries. As the level process is nonlinear model reference adaptive controller is preferred to PID controllers in this paper. To improve t...
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ISBN:
(纸本)9781467360302;9781467360272
Liquid level control has been a basic control problem in almost all process industries. As the level process is nonlinear model reference adaptive controller is preferred to PID controllers in this paper. To improve the transient performance of the MRAC has been a point of research for a long time. The main objective of the paper is to design an MRAC with improved transient performance. The paper proposes a modification to the standard direct MRAC and the proposed controller is called Fuzzy modified MRAC (FMRAC) in the paper. The FMRAC uses a Mamdani-type Fuzzy inference system (MFIS) to improve the transient performance of a direct MRAC. In this study, an MRAC and an FMRAC are designed for a hybrid tank process and their transient performances are compared. The simulation results show the proposed controller gives better transient performance than the direct MRAC. It is concluded that that the proposed controller can be used to obtain very good transient performance during the control of nonlinear processes.
In the aerospace field, researchers and engineers have been using attitude simulators to test and evaluate spacecraft attitude control algorithms, usually developed at the design stage. Moreover, thanks to the new tec...
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In the aerospace field, researchers and engineers have been using attitude simulators to test and evaluate spacecraft attitude control algorithms, usually developed at the design stage. Moreover, thanks to the new technological achievements, small satellites can include more complex algorithms in their attitude determination and control systems. In consequence, the development of an attitude simulator that is able to perform different control algorithms with high attitude accuracy and stability is in high demand. In this paper, an automatic balancing method, along with a modified modelreferenceadaptive Control architecture for an uncertain dynamical system with unknown perturbation, was developed to address uncertainty suppression and disturbance rejection for an air-bearing spherical attitude simulator. The main feature of the proposed scheme consists of obtaining estimates of the offset vector generated by an unbalanced mass system in order to reduce it by moving small masses along each principal axis, ensuring stability and improving motion performance with an adaptivecontroller with input error modification. Simulation results were conducted according to the parameters for a small satellite 1U-class CubeSat platform inside a spherical structure.
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