In this study, active vibration control of a cantilevered flexible beam structure equipped with bonded piezoelectric sensor/actuators is investigated. The linear quadratic regulator technique together with an observer...
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In this study, active vibration control of a cantilevered flexible beam structure equipped with bonded piezoelectric sensor/actuators is investigated. The linear quadratic regulator technique together with an observer is adopted to design the controller as well as to provide the full-state feedback. Two different approaches are subsequently used for simultaneously integrated optimization of the controller and observer parameters. In the first approach, a linear experimental model of the system is obtained using identification techniques, and the optimization is then performed based on a computer simulation of the system. However, in the second approach, a hardware-in-the-loop optimization scheme is proposed and applied to automatically tune the parameters. In both cases, a hybrid metaheuristic algorithm called tabu continuous ant colony system is utilized to find the optimal controller and observer. The integrated performance is experimentally evaluated to demonstrate effectiveness of the proposed hardware-in-the-loop optimization method. Finally, a comparison is made between the frequency response of the current controller with a pole placement controller from the literature in order to assess the improvement achieved through hardware-in-the-loop optimization.
This paper discusses the problem of position control of a directional valve in absence of a plant model. Due to strong nonlinearities of the system, advanced control strategies are mandatory if ideal closed-loop perfo...
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ISBN:
(纸本)9781479977871
This paper discusses the problem of position control of a directional valve in absence of a plant model. Due to strong nonlinearities of the system, advanced control strategies are mandatory if ideal closed-loop performance is recommended. Oftentimes, strategies based on complex PID-control structures using nonlinear gains for different controller branches, containing many highly correlated parameters are introduced to reach the desired performance. In order to overcome the complexity, this paper discusses different sliding mode strategies and ways of defining the closed-loop performance by using nonlinear sliding surfaces. A new analytic approach based on the idea of dynamical pole placement to define an adaptive sliding surface is presented for increasing the closed-loop performance. The automated parameter design is carried out by using a hardware-in-the-loop optimization of the step responses. Test results confirm an improved closed-loop performance for the introduced approach compared to other linear and nonlinear sliding surfaces.
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters b...
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ISBN:
(纸本)9781424412631
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters between inner and outer loop parameters. The evolutionary optimization is a combination of hardware-in-the-loop evaluation of the pilot valve and a dynamic simulation of the main valve behavior. The experimental results demonstrate that the intertwined scheme results in faster convergence as it breaks down the overall optimization of the cascaded control structure into the less complex subproblems of separate optimization of inner and outer loop.
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters b...
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ISBN:
(纸本)9781424412631;1424412633
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters between inner and outer loop parameters. The evolutionary optimization is a combination of hardware-in-the-loop evaluation of the pilot valve and a dynamic simulation of the main valve behavior. The experimental results demonstrate that the intertwined scheme results in faster convergence as it breaks down the overall optimization of the cascaded control structure into the less complex subproblems of separate optimization of inner and outer loop.
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