PID autotuning algorithm based on relay feedback

Leva, Alberto

doi:10.1049/ip-d.1993.0044

Cited by 142 publications

(40 citation statements)

References 9 publications

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“…This method is insensitive to parameter changes, including proportional gain K P , integral gain K I , and derivative gain K D . Furthermore, self-tuning controller gains can improve potential applications of the PID control [13] and [14]. In addition, the sliding mode control (SMC) is a popular strategy to deal with uncertain control systems [15] to [17].…”

Section: Controller Designmentioning

confidence: 99%

Development of a Servo-Based Broaching Machine Using Virtual Prototyping Technology

Park

Dang

Nguyen

2017

Stroj. vest. - Jour. Mech. Eng.

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Section: Controller Designmentioning

confidence: 99%

Development of a Servo-Based Broaching Machine Using Virtual Prototyping Technology

Park

Dang

Nguyen

2017

Stroj. vest. - Jour. Mech. Eng.

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“…and the output equation (this time containing the input) given by (4). Also model (4,5) -M m from now on -is nonlinear, owing in this case to the output equation only.…”

Section: A the Modeling Paradigmmentioning

confidence: 99%

“…[4] for background material. More in detail, by replacing the feedback controller with a relay cascaded to an integrator, the point of the frequency response P c (jω) -where j is the imaginary unit and ω the frequency -with phase −90…”

Section: Auto-tuningmentioning

confidence: 99%

Reliability-driven dynamic binding via feedback control

Filieri

Ghezzi

Leva

et al. 2012

2012 7th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

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Abstract-We are concerned with software that can selfadapt to satisfy certain reliability requirements, in spite of adverse changes affecting the environment in which it is embedded. Self-adapting software architectures are heavily based on dynamic binding. The bindings among components are dynamically set as the conditions that require a selfadaptation are discovered during the system's lifetime. By adopting a suitable modeling approach, the dynamic binding problem can be formulated as a discrete-time feedback control problem, and solved with very simple techniques based on linear blocks. Doing so, reliability objectives are in turn formulated as set point tracking ones in the presence of disturbances, and attained without the need for optimization. At design time, the proposed formulation has the advantage of naturally providing system sizing clues, while at operation time, the inherent computational simplicity of the obtained controllers results in a low overhead. Finally, the formulation allows for a rigorous assessment of the achieved results in both nominal and off-design conditions for any desired operation point.

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“…To do this, different techniques have been developed to achieve the chaotic control. For example, sliding mode control [1][2][3], bangbang control [4], optimal control [5,6], intelligent control base on using neural networks [7], feedback linearization [8], differential geometric method [9], adaptive control [10][11][12], and among many others [13].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Pid Controller Design Based On A Sliding Mode For Uncertain Chaotic Systems

Heidari¹,

Rad²

2012

J. Math. Computer Sci.

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A robust adaptive PID controller design motivated from the sliding mode control is proposed for a class of uncertain chaotic systems in this paper. Three PID control gains, Kp, Ki, and Kd, are adjustable parameters and will be updated online with an adequate adaptation mechanism to minimize a previously designed sliding condition. By introducing a supervisory controller, the stability of the closed-loop PID control system under with the plant uncertainty and external disturbance can be guaranteed. Finally, a well-known Vanderpol oscillator is used as an illustrative to show the efectiveness of the proposed robust a PID controller.

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PID autotuning algorithm based on relay feedback

Cited by 142 publications

References 9 publications

Development of a Servo-Based Broaching Machine Using Virtual Prototyping Technology

Development of a Servo-Based Broaching Machine Using Virtual Prototyping Technology

Reliability-driven dynamic binding via feedback control

Adaptive Robust Pid Controller Design Based On A Sliding Mode For Uncertain Chaotic Systems

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