@casadi/casadi-wasm
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CasADi — symbolic framework for algorithmic differentiation and numerical optimization, compiled to WebAssembly. Runs in Node.js with on-demand solver plugins (ipopt, fatrop, sundials, ...).
103 lines (89 loc) • 3.98 kB
JavaScript
//
// MIT No Attribution
//
// Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl, KU Leuven.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy of this
// software and associated documentation files (the "Software"), to deal in the Software
// without restriction, including without limitation the rights to use, copy, modify,
// merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
// permit persons to whom the Software is furnished to do so.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
// INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
// PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
// SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// JS port of docs/examples/python/chain_qp.py.
//
// Hanging chain of N masses joined by N-1 springs; the equilibrium minimises
// the total potential energy subject to piecewise-linear ground constraints.
// Solved as a QP with qpoases.
//
// JS notes (see README.md):
// * Python's `inf` becomes JS `Infinity`.
// * Each (y_i, z_i) is a scalar SX symbol kept in JS arrays; the variable
// vector and constraints are assembled with vertcat.
// * Plotting is dropped; the optimal cost and a few coordinates are logged.
async function example(M, log) {
// Constants
const N = 40;
const m_i = 40.0 / N;
const D_i = 70.0 * N;
const g0 = 9.81;
const zmin = 0.5; // ground
let Vchain = M.SX(0);
const x = [];
const lbx = [];
const ubx = [];
const g = [];
const lbg = [];
const ubg = [];
let y_prev = null, z_prev = null;
for (let i = 1; i <= N; ++i) {
const y_i = M.SX.sym("y_" + i);
const z_i = M.SX.sym("z_" + i);
x.push(y_i, z_i);
if (i === 1) { lbx.push(-2.0, 1.0); ubx.push(-2.0, 1.0); }
else if (i === N) { lbx.push(2.0, 1.0); ubx.push(2.0, 1.0); }
else { lbx.push(-Infinity, zmin); ubx.push(Infinity, Infinity); }
if (i > 1) {
Vchain = M.plus(Vchain,
M.times(D_i / 2,
M.plus(M.power(M.minus(y_prev, y_i), 2), M.power(M.minus(z_prev, z_i), 2))));
}
Vchain = M.plus(Vchain, M.times(g0 * m_i, z_i));
// Slanted ground constraint: z_i - 0.1*y_i >= 0.5
g.push(M.minus(z_i, M.times(0.1, y_i)));
lbg.push(0.5);
ubg.push(Infinity);
y_prev = y_i; z_prev = z_i;
}
// Formulate and solve the QP
const qp = { x: M.vertcat.apply(null, x), f: Vchain, g: M.vertcat.apply(null, g) };
const solver = M.qpsol("solver", "qpoases", qp, { sparse: true, printLevel: "none" });
const sol = solver.call({
lbx: M.DM(lbx), ubx: M.DM(ubx), lbg: M.DM(lbg), ubg: M.DM(ubg),
});
const xopt = sol["x"].nonzeros();
log("f_opt = " + sol["f"].nonzeros()[0]);
// Retrieve coordinates (even -> y, odd -> z)
const Y = xopt.filter((_, k) => k % 2 === 0);
const Z = xopt.filter((_, k) => k % 2 === 1);
log("first mass (y, z) = (" + Y[0].toFixed(4) + ", " + Z[0].toFixed(4) + ")");
const mid = Math.floor(N / 2);
log("middle mass (y, z) = (" + Y[mid].toFixed(4) + ", " + Z[mid].toFixed(4) + ")");
log("last mass (y, z) = (" + Y[N - 1].toFixed(4) + ", " + Z[N - 1].toFixed(4) + ")");
}
if (typeof require !== "undefined" && typeof module !== "undefined" && require.main === module) {
const path = require("path");
const casadiPath = process.env.CASADI_JS
|| path.resolve(__dirname, "../../../build-wasm/swig/wasm-js/casadi.js");
require(casadiPath)()
.then((M) => example(M, (...a) => console.log(...a)))
.catch((e) => { console.error("FATAL:", e.message || e); process.exit(1); });
}
if (typeof module !== "undefined" && module.exports) module.exports = example;