Topic
Open-loop controller
About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.
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Patent•
07 Jan 1992
TL;DR: In this paper, a modular automotive audio system includes a controller housing and an amplifier housing to be mounted within the vehicle trunk and a remote control for use within the passenger compartment, and a controller module within the controller housing provides control for all signal processing components.
Abstract: A modular automotive audio system includes a controller housing and an amplifier housing to be mounted within the vehicle trunk and a remote control for use within the passenger compartment. Modular signal processing components are received within the controller housing, and modular amplifier components are received within the amplifier housing. A controller module within the controller housing provides control for all signal processing components. The controller module polls all positions within the controller housing to determine which components are installed, and then the controller module configures itself via software to provide the control functions. Optionally, non-audio electronic components can also be received within the controller housing for common control by the system.
131 citations
TL;DR: In this article, a new systematic tuning method with a new structure to design a robust PID load frequency controller for multimachine power systems is presented, which is mainly based on a maximum peak resonance specification that is graphically supported by the Nichols chart.
131 citations
TL;DR: This paper studies the fault-tolerant control problem for a class of nonlinear systems based on polynomial fuzzy model, and some nonlinear terms are successfully described as an index to be optimized to zero by a semidefinite programming.
Abstract: This paper studies the fault-tolerant control problem for a class of nonlinear systems based on polynomial fuzzy model. A typical actuator fault model is presented to describe the loss of effectiveness fault in a multimode framework. The considered polynomial-fuzzy-model-based systems are more general, since the assumption that the input matrix $\mathbf {B}_{i}(\mathbf {x}),i=1,\ldots, p$ has at least one zero row, is not required any more. A polynomial Lyapunov function candidate depending on any system state is applied to design the fault-tolerant controller, in which the number of rules and membership functions can be matched or mismatched with polynomial fuzzy model. To deal with nonconvex problem, some nonlinear terms are successfully described as an index to be optimized to zero by a semidefinite programming. Compared with some published works, the resultant sum of squares based design conditions are with less computation complexity and potentially more relaxed. Using the third-party MATLAB toolbox SOSTOOLS, simulation examples are given to illustrate the effectiveness of the new method.
131 citations
TL;DR: A high-performance ripple-free dynamic torque controller for a variable-reluctance (VR) motor intended for trajectory tracking in robotic applications is designed and a modeling approach that simplifies the design of the controller is investigated.
Abstract: A high-performance ripple-free dynamic torque controller for a variable-reluctance (VR) motor intended for trajectory tracking in robotic applications is designed. A modeling approach that simplifies the design of the controller is investigated. Model structure and parameter estimation techniques are presented. Different approaches to the overall torque controller design problem are discussed, and the solution adopted is illustrated. A cascade controller structure consisting of a feedforward nonlinear torque compensator, cascaded to a nonlinear flux or current closed-loop controller is considered, and optimization techniques are used for its design. Although developed for a specific commercial motor, the proposed modeling and optimization strategies can be used for other VR motors with magnetically decoupled phases, both rotating and linear. Laboratory experiments for model validation and preliminary simulation results of the overall torque control system are presented. >
131 citations
TL;DR: Experimental results illustrate that the integration of fractional-order disturbance observer and single neuron-based PI fuzzy controller can improve the performance of disturbance attenuation and system robustness.
Abstract: An approach is proposed for vibration suppression in a two-inertia system using an integration of a fractional-order disturbance observer and a single neuron-based PI fuzzy controller. The former is used to obtain disturbance estimate and generate compensation signal, and the latter is utilized to realize outer loop control. Fractional-order disturbance observer has a wider range to select a suitable tradeoff between robustness and vibration suppression, because introduction of fractional calculus makes universe of relative degree of Q-filter is expanded from integer domain to real-number domain. For the single neuron-based PI fuzzy controller, a single neuron makes up a PI controller and such a controller is embedded in each cell of the fuzzy control table. Thus, the fuzzy control table is changed into a controller matrix and it constructs a nonlinear adaptive controller with parameter self-tuning property. Experimental results illustrate that the integration of fractional-order disturbance observer and single neuron-based PI fuzzy controller can improve the performance of disturbance attenuation and system robustness
131 citations