Switching Gain-Scheduled Proportional–Integral–Derivative Electronic Throttle Control for Automotive Engines

Author(s):  
Arman Zandi Nia ◽  
Ryozo Nagamune

This paper proposes an application of the switching gain-scheduled (S-GS) proportional–integral–derivative (PID) control technique to the electronic throttle control (ETC) problem in automotive engines. For the S-GS PID controller design, a published linear parameter-varying (LPV) model of the electronic throttle valve (ETV) is adopted whose dynamics change with both the throttle valve velocity variation and the battery voltage fluctuation. The designed controller consists of multiple GS PID controllers assigned to local subregions defined for varying throttle valve velocity and battery voltage. Hysteresis switching logic is employed for switching between local GS PID controllers based on the operating point. The S-GS PID controller design problem is formulated as a nonconvex optimization problem and tackled by solving its convex subproblems iteratively. Experimental results demonstrate overall superiority of the S-GS PID controller to conventional controllers in reference tracking performance of the throttle valve under various scenarios.

2019 ◽  
Vol 9 (6) ◽  
pp. 1224 ◽  
Author(s):  
Chun-Tang Chao ◽  
Nana Sutarna ◽  
Juing-Shian Chiou ◽  
Chi-Jo Wang

This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors. With the equivalence between fuzzy logic controllers (FLCs) and conventional PID controllers, a conventional PID controller design can be rapidly transformed into an equivalent FLC by defining the operating ranges of the input/output of the controller. The proposed nonlinear factors can further tune the nonlinearity of the membership functions (MFs) distributed in the operating ranges. In this manner, a fuzzy PID controller can be developed with less parameters and optimized by using the genetic algorithm (GA). In addition, the aforementioned equivalent FLC can act as one individual in the initial population of GA, and significantly enhances the GA efficiency. Simulation results demonstrate the feasibility of this technique. This resulted in an optimal fuzzy PID controller design with only eight parameters with a concise controller structure, and most importantly, the optimal fuzzy PID controller design is now more systematic.


2015 ◽  
Vol 66 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Vojtech Veselý ◽  
Adrian Ilka

Abstract A novel methodology is proposed for robust gain-scheduled PID controller design for uncertain LPV systems. The proposed design procedure is based on the parameter-dependent quadratic stability approach. A new uncertain LPV system model has been introduced in this paper. To access the performance quality the approach of a parameter varying guaranteed cost is used which allowed to reach for different working points desired performance. Numerical examples show the benefit of the proposed method.


Author(s):  
Fethi Gür ◽  
Fuat Anday

A new voltage mode Proportional-Integral-Derivative (PID) controller employing Current Differencing Buffered Amplifier (CDBA) is presented. The proposed PID controller employs a canonical number of capacitors without requiring any passive components matching conditions. The element values are expressed in terms of PID parameters. Workability of the proposed controller is demonstrated through SPICE simulations for which CDBA is realized using Current Feedback Amplifier (CFA). The simulation results are found in close agreement with the theoretical results.


2019 ◽  
Vol 8 (2S3) ◽  
pp. 1060-1063

This paper describes the design of Proportional-Integral-Derivative (PID) controller for two variable processes where the two variables need to control. Design of controllers for such a process is too difficult than single variable processes because of interrelations between the two variables present in the system. Hence, the design approach should include the interrelations of the variables to achieve better performance of the processes. In addition to this, the time delay of the processes is also considered and Smith Predictor (SP) configuration is used to reduce the delay in the processes. For the resultant reduced time delay processes, an IMC approach is used to design PID controller. The proposed control system improves both the servo (set point tracking) and regulatory (disturbance rejection) performance of the system. The proposed configuration is also validated using a case study. The simulation results are presented and compared with the other similar approaches to show the efficacy of the proposed method.


2010 ◽  
Vol 61 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Štefan Bucz ◽  
Ladislav Marič ◽  
Ladislav Harsányi ◽  
Vojtech Veselý

A Simple Robust PID Controller Design Method Based on Sine Wave Identification of the Uncertain PlantThe paper deals with the development and application of a new simple empirical approach to the design of robust PID controllers for technological processes in industrial practice. The main advantage of the proposed approach is the possibility to specify the required performance before the design algorithm implementation. Identification of characteristic data of the black-box type plant with varying parameters is carried out using the sine wave excitation signal, thus allowing to design the controller without necessarily knowing the mathematical model of the plant. The proposed approach has been verified on a real-world physical process.


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